^{AI MARKET PULSE}
50% of U.S. Workers Now Use AI — Adoption Has More Than Doubled Since 2023

Half of all U.S. employees now report using AI at work, according to a new Gallup survey of over 23,000 workers, marking a jump from just 21% in 2023 to 50% in early 2026. Daily usage has also hit a record high, with 13% of workers using AI every day and 28% using it at least weekly. Despite that surge, over 80% of companies say they haven’t seen meaningful productivity gains yet, even as 27% of employees report major workplace disruption tied to AI adoption. Still, 65% of workers remain positive about AI’s impact, and companies using AI are simultaneously hiring more and cutting roles faster. The deeper thesis: AI adoption is accelerating faster than organizations’ ability to actually benefit from it.

So what does that mean for you?

AI is already embedded in the workplace — but most people are still figuring out how to use it well. That gap is where the opportunity sits right now. In practical terms, that means:

• Focus on real use cases (summarizing, research, automation) that save you time today
• Don’t wait for your company to “figure out AI” — build your own workflows
• Expect messy transitions as companies experiment with both hiring and cuts

👉️ Read the article here

This billionaire strategy beat the S&P 500 by 3.1x from 2017-2025. Here's how to get in.

That’s not by picking the right stock or timing the market. It’s by holding three real asset classes in one strategy.

It’s anchored by an investment typically exclusive to billionaires.

Could be good timing too–

Bloomberg's Marcus Ashworth recently wrote, there’s "no more reliable safe havens."

The S&P, while hovering over 5 year highs, fell over 7% from the February peak. Bonds might carry less risk but they are barely keeping pace with inflation.

The things supposed to protect your portfolio started moving together.

Meanwhile, the world's wealthiest have been setting records in postwar and contemporary art.

After the dot-com bust, it grew roughly 24% annually for a decade. After 2008, roughly 11% annually for 12 years.

It trades globally in multiple currencies, has scarce supply, and has shown near-zero correlation to equities since 1995.*

Masterworks has helped 70,000+ investors allocate $1.3B fractionally across 500+ artworks featuring Banksy, Basquiat, and Picasso.

See if you can improve your portfolio performance in one diversified strategy.

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^{*According to Masterworks data. Investing involves risk. Past performance is not indicative of future returns. Important Reg A disclosures: masterworks.com/cd}

^{WORKFLOW BUILDER}
The AI Lead Magnet Factory

Goal: Create a high-value, niche-specific PDF lead magnet in under 30 minutes that attracts the right audience and converts them into email subscribers.

Steps:

1. Define the Core Problem
   Pick one specific pain point your audience actively wants solved—simple beats broad.

   • Prompt ChatGPT: Act as a marketing strategist. Based on this audience: [target audience] and niche: [niche], list 10 highly specific problems they urgently want solved. Then suggest 5 lead magnet ideas (checklist, cheat sheet, or toolkit) that would solve one problem quickly.

   ➡️ Next: Choose ONE idea that feels most actionable and easy to create.

2. Generate the Lead Magnet Content
   Turn that idea into structured, useful content people can immediately apply.

   • Prompt ChatGPT: Create a [checklist/cheat sheet/toolkit] titled “[Lead Magnet Title]” for [target audience]. Keep it concise, practical, and actionable. Include 5–10 steps or sections, each with a short explanation. Avoid fluff and make it easy to skim.

   ➡️ Next: Copy the output into a clean document (Google Docs or Notion).

3. Polish and Simplify
   Tighten the content so it feels premium, not AI-generated.

   • Prompt ChatGPT: Edit this content to be clearer, more concise, and more engaging. Improve wording, remove repetition, and make it feel like a premium resource. Keep formatting clean and skimmable.

   ➡️ Next: Review and tweak language to match your personal voice.

4. Design the PDF in Canva
   Turn your content into a clean, professional-looking asset.

   • Instruction:
   Open Canva → Search “Checklist” or “Lead Magnet” templates → Paste your content into a simple design (keep it minimal).

   • Prompt ChatGPT (optional): Suggest a clean layout structure for a 1–3 page PDF lead magnet, including section headers and formatting ideas.

   ➡️ Next: Export as a PDF.

5. Package as an Email Opt-In
   Make it easy for people to get the lead magnet in exchange for their email.

   • Prompt ChatGPT: Write a simple landing page with:
   • A compelling headline
   • 3 bullet benefits
   • A short description
   • A clear call-to-action

   Also write a delivery email that sends the PDF after signup.

   ➡️ Next: Upload your PDF to your email tool and connect it to a signup form.

Pro Tip (Upgrade):
Use Canva for fast, clean design, then pair it with GetResponse to instantly host your form, deliver the PDF, and start building your list without needing extra tools.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

Accio Work: the AI Agent team that runs your business

Meet Accio Work—the agentic workspace for business owners and solopreneurs. Our smart agents handle sourcing, supplier negotiation, store management, and marketing on autopilot. Powered by Alibaba.com data, we turn ideas into action instantly. No setup, no hassle—just seamless execution while you stay in control and focus on growing your business.

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^{TODAY’S PROMPT}
Build a Profitable One-Person Offer From What You Already Know

This mega-prompt acts like an offer strategist, turning your skills, audience, and niche into a clear digital offer you can actually sell. It builds your positioning, deliverables, pricing logic, and a simple launch plan so you can stop sitting on vague ideas and start packaging something real.

👉 Use the prompt + check out my example output here

Act as an expert digital offer strategist for solopreneurs, creators, and online business owners.

Your job is to turn a rough idea, skill set, or niche into a clear one-person digital offer that is simple to deliver, attractive to buyers, and realistic to launch quickly.

I will give you information about my skills, audience, niche, experience, and goals. Based on that, create a complete offer blueprint I can use right away.

INPUTS

[My skill or expertise]:
[My niche or topic]:
[My target audience]:
[The main problem my audience wants solved]:
[The result they want]:
[My current experience level]:
[What format I want to sell, if any]:
[My preferred delivery style]:
[How much time I can commit per week]:
[Whether I want this to be low-ticket, mid-ticket, or premium]:
[Whether I want recurring income, one-time sales, or either]:
[Platforms or channels I already use]:
[Anything I want to avoid]:
[Examples of people, brands, or offers I like]:
[Anything else relevant]:

Create the output in the exact format below:

1. Offer Concept
Give me one strong primary offer idea and two backup offer ideas based on my inputs.

2. Positioning Statement
Write a clear statement in this format:
“I help [audience] achieve [result] without [common pain/friction] through [offer mechanism].”

3. Why This Offer Makes Sense
Explain why the primary offer is a strong fit for my skills, time, audience, and business goals.

4. Offer Details
Break down the primary offer with:
• Offer name
• What it includes
• Core deliverables
• Delivery format
• Expected transformation for the buyer
• Estimated time required from me to deliver it

5. Pricing Logic
Recommend a pricing range and explain the reasoning based on simplicity, value, audience type, and delivery effort. Do not use income claims or exaggerated promises.

6. Simple Launch Plan
Create a beginner-friendly launch plan I can execute over the next 7 days using the channels I already have.

7. Sales Angle Ideas
Give me 5 strong angles or hooks I could use to talk about this offer publicly.

8. Objection Handling
List the top 5 reasons someone might hesitate to buy and give a clear response to each.

9. Minimum Viable Version
Show me the simplest version of this offer I could launch first if I want to validate demand quickly.

10. Next Best Actions
Give me the 5 most important next steps in order so I know exactly what to do after reading this.

Important instructions:
- Keep the strategy practical, specific, and beginner-friendly
- Do not suggest building a course unless the inputs clearly support it
- Do not suggest consulting for enterprises
- Focus on offers a one-person business can realistically create and deliver
- Avoid fluff, generic advice, and overcomplicated funnels
- If anything is missing, make the most reasonable assumption and state it briefly before the plan

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

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^{AI SPOTLIGHT}
Meta Is Building an AI Clone of Mark Zuckerberg to Replace Him in Meetings

Meta is reportedly developing a photorealistic AI clone of CEO Mark Zuckerberg that can interact with employees on his behalf, trained on his voice, mannerisms, and past communications. The system would allow the AI version of Zuckerberg to handle internal conversations, feedback sessions, and potentially routine meetings, as the company pushes deeper into AI-driven virtual agents. The project builds on Meta’s broader investment in real-time 3D avatars and conversational AI, though engineers are still facing technical challenges around latency and realism. If successful, Meta may eventually allow creators to build their own AI clones for audience interaction at scale. The deeper thesis: AI is moving beyond tools into identity—replicating not just what people do, but how they communicate.

Key Takeaways:

• Meta is building an AI-powered, photorealistic clone of Mark Zuckerberg to interact with employees
• The system is trained on his voice, behavior, and internal communications style
• The move signals a broader shift toward AI agents that replicate human presence, not just tasks

👉️ Read the full article here

^{AI QUICK HITS}

📌 Google is adding “AI Skills” to Chrome, letting users save and reuse prompts across websites so workflows can run instantly without retyping commands.

⚡️ A Wisconsin town just voted to limit new AI data center projects after concerns about energy, water use, and rising electricity costs tied to large-scale infrastructure builds.

🤖 Toyota’s new CUE7 basketball robot uses vision, planning, and reinforcement learning to shoot with near-perfect consistency, showcasing how embodied AI is advancing beyond software into real-world precision systems.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—61% were right!

Did you vote in the poll from April 13th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

Stop collecting. Start selling.

Most people sit on prompts they’ll never use.

Prompt Empire Builder helps you turn them into something real:
• 300+ monetizable prompts
• A product structure that makes sense
• A system to track buyers and revenue

No overthinking.
No busywork.

Just pick one and launch it.

👉️ Get Prompt Empire Builder

^{AI MARKET PULSE}
Most Tech Workers May Be Headed Toward an “Implementor” Economy

A new essay from SaaS Decoded argues that AI is not just changing how work gets done inside tech companies—it is changing which workers remain valuable in the first place. The core claim is that companies are increasingly asking whether a task needs a person at all, or whether an AI system plus a smaller number of higher-leverage employees can handle it faster and cheaper. In the piece’s example, a customer support org cuts 15 human roles and replaces them with three AI bots, while keeping a handful of senior employees to supervise, improve systems, and manage the new tooling. The argument centers on a new divide: workers who can implement and manage AI systems versus workers whose tasks are becoming easier to automate. Translation: the labor market may increasingly reward people who know how to deploy AI inside a business, not just use it casually.

So what does that mean for you?

The takeaway is not that every tech job disappears tomorrow. It is that the safest position may increasingly belong to the person who helps the business use AI more effectively. In practical terms, that means:

• Learn how AI fits into your current workflow, not just how to chat with it
• Build toward higher-leverage roles tied to systems, strategy, and implementation
• Focus on becoming harder to replace, not just better at repetitive tasks

👉️ Read the article here

This feels like cheating

You send one message.

Catch:
– books the meeting
– sends the emails
– follows up
– even makes the call

It’s not another AI tool giving suggestions.
It actually handles the work.

If your calendar and inbox run your day, this is a big unlock.

👉️ Try it free (7 days)

^{WORKFLOW BUILDER}
The SOP Builder for Solopreneurs

Goal: Turn any messy, repeated task into a clean SOP, step-by-step checklist, and simple training doc you can reuse or hand off.

Steps:

1. Dump the Task From Your Head
   Start by getting the full process out of your brain—don’t worry about structure yet.

   • Prompt ChatGPT: Act as an operations expert. I’m going to describe a task I do repeatedly. Turn my explanation into a rough step-by-step list of everything involved, even if it's messy or incomplete. Here’s the task: [Describe Your Process in Detail]

   ➡️ Next: Skim the list and add anything you forgot.

2. Structure It Into a Clean SOP
   Now turn that messy list into something clear, logical, and repeatable.

   • Prompt ChatGPT: Take this rough process and turn it into a clean SOP. Organize it into clear steps with short instructions, grouped into phases if needed. Make it easy for a beginner to follow. Here is the process: [Paste Step-by-Step List]

   ➡️ Next: Save this as your “master SOP” doc.

3. Create a Simple Execution Checklist
   Strip the SOP down into a quick checklist you (or someone else) can actually follow in real time.

   • Prompt ChatGPT: Turn this SOP into a simple checklist format. Each step should be short, actionable, and easy to check off while completing the task. Here is the SOP: [Paste SOP]

   ➡️ Next: Use this checklist the next time you perform the task.

4. Build a Training Doc for Handoffs
   Make it easy for someone else to take this over without constant questions.

   • Prompt ChatGPT: Turn this SOP into a beginner-friendly training guide. Include: a short overview, required tools, step-by-step instructions, common mistakes to avoid, and tips for doing it efficiently. Here is the SOP: [Paste SOP]

   ➡️ Next: Share this with a freelancer, assistant, or future hire.

5. Optimize and Improve the Process
   Use AI to refine the workflow so it gets faster and cleaner over time.

   • Prompt ChatGPT: Review this SOP and suggest 5 ways to improve or automate parts of the process using AI tools. Focus on saving time and reducing manual work. Here is the SOP: [Paste SOP]

   ➡️ Next: Update your SOP with 1–2 improvements and repeat monthly.

Pro Tip (Upgrade):
Use Guidde to automatically turn your SOP into a visual step-by-step video walkthrough—making it dramatically easier for someone else to follow without hand-holding.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

The ones showing up in LLMs convert 3× better than Google

They optimized for LLMs, not just Google.

FAQs. Comparison pages. Transparent pricing. LinkedIn presence. These aren't vanity plays. They're what gets you cited in ChatGPT, Gemini, and Claude when your buyers are researching, your investors are looking, and your future hires are deciding where to work.

Download the free AEO Playbook for Startups from HubSpot and get the exact checklist. Five minutes to read.

Unlock the playbook

^{TODAY’S PROMPT}
Build a Brand Identity Manual That Makes Every AI Output Sound Like You

This mega-prompt acts like a brand strategist, voice analyst, and creative director, turning your best writing samples and visual taste into a locked-in identity manual. It builds a reusable style guide so every AI tool you use can produce content that actually feels like your brand instead of generic internet mush.

👉 Use the prompt + check out my example output here

Act as an expert brand strategist, editorial voice analyst, and creative director.

Your job is to analyze my writing samples, brand materials, and visual preferences to create a complete “Brand Identity Manual” that captures the exact vibe, tone, style, and creative rules of my personal brand or business.

The goal is to make this manual so specific and usable that I can paste it into any AI tool and get outputs that sound and feel like me.

INPUTS

Brand Basics
• Brand name: [Brand Name]
• My name: [Your Name]
• Brand type: [Personal Brand / Newsletter / Agency / Creator Business / Ecommerce Brand / Other]
• What I do: [Short Description]
• Who I serve: [Target Audience]
• What I want people to feel when they interact with my brand: [Desired Emotional Effect]
• Main promise or value proposition: [Core Promise]

Writing Samples
• Paste 3–10 examples of my best writing below: [Paste Writing Samples]
• Preferred formats: [Emails / Posts / Sales Pages / Newsletter Essays / Threads / Scripts / Landing Pages / Other]
• Writing I want this brand to sound most like: [Describe Existing Style]
• Writing traits I want to avoid: [List Anything That Feels Off-Brand]

Visual Taste
• Describe the visual aesthetic of my brand: [Visual Description]
• Colors I like: [Color Preferences]
• Colors I dislike: [Color Preferences to Avoid]
• Design style I prefer: [Minimal / Bold / Elegant / Playful / Editorial / Futuristic / Other]
• Brands, creators, or aesthetics I admire: [References]
• Visual elements I want to avoid: [Design Cliches or Unwanted Styles]

Brand Personality
• 5 words that describe the brand: [Brand Traits]
• 5 words that should never describe the brand: [Unwanted Traits]
• Brand archetype if known: [Optional]
• How I want to sound in one sentence: [One-Sentence Voice Description]

Business Context
• Main products, services, or offers: [List Offers]
• Main channels where I publish: [Newsletter / X / LinkedIn / Instagram / YouTube / Website / Other]
• Primary goal of the brand right now: [Grow Audience / Increase Sales / Build Authority / Improve Consistency / Other]

OUTPUT

Create a complete Brand Identity Manual with the following sections:

1. Brand Essence
Give me a concise summary of what this brand is, what it stands for, who it serves, and what makes it distinct.

2. Core Brand Positioning
Define:
• Audience
• Problem the brand solves
• Brand promise
• Differentiators
• Overall market position

3. Voice Profile
Analyze my writing and define:
• Tone of voice
• Sentence style
• Level of formality
• Rhythm and pacing
• Emotional texture
• Vocabulary preferences
• Signature communication habits
• What makes the voice feel human and recognizable

4. Voice Rules
Create a practical set of “Always Do” and “Never Do” rules for writing in this brand voice.
Include:
• Preferred sentence lengths
• Use of humor or not
• Use of slang or not
• Use of questions
• Use of stories
• How direct or polished the voice should be
• Words, phrases, and tones to avoid

5. Messaging Pillars
Identify 3–5 recurring message themes this brand should talk about consistently.
For each pillar, include:
• Pillar name
• What it means
• Why it matters to the audience
• Example angles or content directions

6. Brand Personality Matrix
Map the brand across useful spectrums such as:
• Casual ↔ Formal
• Playful ↔ Serious
• Premium ↔ Accessible
• Bold ↔ Reserved
• Analytical ↔ Emotional
Then explain where the brand sits and why.

7. Visual Identity Direction
Based on my descriptions, define:
• Overall visual vibe
• Color direction
• Typography direction
• Layout/style direction
• Imagery direction
• Design words that fit the brand
• Design words that do not fit the brand

8. Brand Consistency Rules for AI
Write clear instructions I can paste into any AI tool so it can create on-brand content.
Include:
• How the AI should sound
• What tone to maintain
• What to avoid
• How to structure outputs
• How to preserve brand consistency across platforms

9. Prompt-Ready Brand Block
Create a short, high-utility “brand context block” I can paste into ChatGPT, Claude, or any AI writing tool before asking it to create content.

10. Expanded Brand Operating Instructions
Create a longer system-style instruction set for AI tools that need a deeper understanding of the brand voice, style, audience, and visual taste.

11. Example Applications
Show how this brand voice should be applied to:
• One email intro
• One social post
• One product description
• One homepage headline
• One short about section

12. Brand Drift Warnings
List the top ways AI might accidentally drift away from this brand and explain how to catch and correct those mistakes.

13. Final Summary
End with:
• A one-paragraph summary of the brand vibe
• A one-sentence internal creative mantra
• A one-sentence external positioning statement

QUALITY RULES

• Be highly specific, not generic
• Base the analysis on patterns in my material, not vague branding cliches
• Write like a sharp creative strategist, not a corporate consultant
• Make the final manual practical enough to use immediately
• When useful, quote short phrases from my writing samples to justify the analysis
• If my samples contain contradictions, identify them and recommend the strongest direction
• If anything is missing, make the most reasonable assumption and state it briefly before the plan

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

When Pressure Rises, Here’s Where Leaders Turn

Costs rise. Clients delay. Pressure builds.

The Survival Hub gives you practical ways to respond from cutting costs to tightening operations and staying on top of revenue.

Built to help you take control when things feel uncertain.

Visit BELAY’s Survival Hub

^{AI SPOTLIGHT}
Anthropic’s Claude Was the Quiet Star at HumanX

At the HumanX conference in San Francisco, one chatbot kept coming up in conversations with founders, vendors, and attendees: Claude. According to the article, Anthropic’s model appeared to have stronger momentum among many business users than ChatGPT, especially around agentic workflows and coding use cases. At the same time, OpenAI was described as facing a perception problem, with criticism around product focus, brand trust, advertising, and whether it still looks like the undisputed leader it once did. None of that means OpenAI is suddenly weak—far from it—but it does suggest the field is becoming more competitive, especially as enterprise users get more opinionated about which models actually help them work better. The deeper thesis: the AI race is entering a phase where user preference and workflow fit may matter more than pure hype.

Key Takeaways:

• Claude was reportedly the most talked-about chatbot among many attendees at HumanX
• The shift suggests Anthropic is gaining real mindshare in enterprise and coding-focused AI use cases
• OpenAI still has scale, but the market no longer looks like a one-company race

👉️ Read the full article here

^{AI QUICK HITS}

🧠 A new Gallup survey found Gen Z is getting more skeptical about AI, with anger rising, excitement falling, and large majorities of both students and young adults saying tools designed to speed up tasks could actually make learning harder in the future.

⚡️ Big Tech is now putting serious financial weight behind next-gen nuclear projects, as companies like Meta, Amazon, and Google race to secure enough electricity for AI data centers and give advanced reactor startups a clearer path to commercialization.

📅 Zoom CEO Eric Yuan says the traditional five-day workweek may start to break down by 2031, arguing that widespread use of digital agents could push companies toward a three-day schedule as AI handles more routine work.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—53% were right!

Did you vote in the poll from April 11th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

AI Alone Can’t Run Revenue

Finance doesn’t run on “mostly right.” It runs on math.

In The Architecture Behind AI-Native Revenue Automation, Tabs’s CTO breaks down why LLMs alone aren’t enough—and what it actually takes to build audit-ready, AI-driven contract-to-cash systems for modern B2B teams.

Get the whitepaper

^{AI MARKET PULSE}
Entry-Level Jobs Are Down 35%—But AI Isn’t Eliminating Them, It’s Rewriting Them

Entry-level job postings in the U.S. have dropped 35% over the past 18 months, largely due to AI taking over routine tasks like data entry, coding, and customer support. But the impact is more complex than simple replacement—companies are shifting those tasks upward, leaving mid-level workers overloaded while still relying on junior talent to adapt and manage AI systems. At the same time, businesses that continue hiring entry-level workers are using AI to accelerate their growth, turning them into higher-value contributors faster. The deeper thesis: AI isn’t removing the bottom rung of the career ladder—it’s reshaping what that first step actually looks like.

So what does that mean for you?

The advantage is shifting toward people who can work with AI early, not avoid it. Entry-level doesn’t mean low-skill anymore—it means AI-assisted. In practical terms, that means:

• Learn how to evaluate and improve AI outputs, not just generate them
• Focus on judgment, decision-making, and workflow thinking
• Use AI to accelerate your learning curve, not replace it

👉️ Read the article here

LLM traffic converts 3× better than Google search

58% of buyers now start their research in ChatGPT or Gemini, not Google. Most startups aren't showing up there yet.

The ones that are get cited by the AI tools their buyers, investors, and future hires already use. And they convert at 3×.

Download the free AEO Playbook for Startups from HubSpot and get the exact steps to start showing up. Five minutes to read.

Get the free playbook

^{WORKFLOW BUILDER}
The Testimonial-to-Sales-Page Builder

Goal: Turn a handful of real customer testimonials into a high-converting sales page structure with stronger messaging, clearer benefits, and proof that actually sells.

Steps:

1. Extract the “Real Value”
   Pull out what customers are actually saying—not just surface-level praise.

   • Prompt ChatGPT: Analyze these customer testimonials: [Paste 3–5 Testimonials]. Identify the core benefits, outcomes, and emotional triggers customers mention. Group them into 3–5 key themes.

   ➡️ Next: Pick the top 2–3 themes that feel strongest.

2. Create a High-Impact Headline
   Turn those themes into a clear, outcome-driven headline.

   • Prompt ChatGPT: Using these themes: [List Themes], write 5 high-converting landing page headlines that clearly communicate the main result and who it’s for.

   ➡️ Next: Choose the headline that feels most specific and believable.

3. Build the Proof Section
   Transform raw testimonials into structured, persuasive proof.

   • Prompt ChatGPT: Rewrite these testimonials into a clean “proof section” for a sales page. Highlight specific results, remove fluff, and format them into short, punchy quotes with clear outcomes.

   ➡️ Next: Select 2–3 of the strongest quotes.

4. Turn Benefits Into Offer Bullets
   Convert what customers love into clear selling points.

   • Prompt ChatGPT: Based on these testimonial themes: [Themes], write 5–7 benefit-driven bullet points for a sales page. Each should focus on a specific outcome or transformation.

   ➡️ Next: Edit any bullets to match your tone.

5. Write the CTA That Closes
   Create a call-to-action that ties everything together.

   • Prompt ChatGPT: Write 3 call-to-action options for this offer: [Describe Offer]. Each should reinforce the main benefit and reduce hesitation.

   ➡️ Next: Add your CTA under the proof section on your page.

Pro Tip (Upgrade):
Use AdCreative.ai to turn your testimonial-driven messaging into high-converting ad creatives and landing page variations—so you’re not just improving your page, you’re improving how people get there.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

AI Alone Can’t Run Revenue

Finance doesn’t run on “mostly right.” It runs on math.

In The Architecture Behind AI-Native Revenue Automation, Tabs’s CTO breaks down why LLMs alone aren’t enough—and what it actually takes to build audit-ready, AI-driven contract-to-cash systems for modern B2B teams.

Get the whitepaper

^{TODAY’S PROMPT}
Sharpen Your Offer Positioning Before You Write Another Sales Page

This mega-prompt acts like a senior brand strategist and conversion copywriter, turning your product, niche, and audience into sharper positioning and clearer messaging. It builds your value proposition, differentiators, and sales-page-ready angles so you can explain what you do in a way that actually clicks.

👉 Use the prompt + check out my example output here

Act as an expert offer positioning strategist, conversion copywriter, and market messaging consultant.

Your job is to take a product or service idea and turn it into clear, compelling positioning that makes the offer easier to understand, more differentiated, and more persuasive to the right buyer.

INPUTS:

Offer Information:
- Product or Service: [What you sell]
- Category: [e.g. course, membership, agency service, digital product, software, coaching]
- Price Point: [Optional]
- Delivery Model: [How it is delivered]

Audience Information:
- Target Audience: [Who it is for]
- Niche or Industry: [Market/category]
- Current Situation: [What the audience is dealing with right now]
- Desired Outcome: [What they want instead]

Market Context:
- Main Alternatives: [What they currently use, buy, or try instead]
- Common Frustrations: [What they dislike about current options]
- Why This Offer Is Different: [What feels unique or better]
- Proof or Credibility: [Results, background, testimonials, process, case studies]

Messaging Goals:
- Tone: [e.g. bold, clear, premium, simple, practical]
- Primary Goal: [e.g. improve sales page, clarify homepage, tighten pitch, refine offer]
- Extra Notes: [Anything else worth knowing]

OUTPUT:

Create a complete offer positioning strategy with the following sections:

1. **Positioning Statement**
Write a clear 1-2 sentence positioning statement that explains what the offer is, who it is for, and why it matters.

2. **Value Proposition**
Write a strong value proposition that highlights the main transformation, benefit, or outcome.

3. **Top Differentiators**
List 3-5 clear differentiators that separate this offer from common alternatives.

4. **Audience Pain Points**
List the key frustrations, bottlenecks, or failed solutions this audience is experiencing.

5. **Messaging Angles**
Generate 5 sales-page messaging angles or hooks based on the audience’s goals, objections, and desired outcomes.

6. **Benefit Bullets**
Write 7 concise benefit-driven bullets that could be used on a landing page or sales page.

7. **Objection Handling**
List the top 5 likely objections and provide a short, persuasive response to each.

8. **Headline Options**
Write 10 headline ideas for a landing page based on this positioning.

9. **CTA Options**
Write 5 call-to-action options that match the tone and positioning of the offer.

10. **Strategic Notes**
Add a short section explaining what messaging direction feels strongest and what should be emphasized most on the page.

Make the output clear, specific, practical, and conversion-focused. Avoid vague branding language, clichés, and generic claims. Prioritize clarity over cleverness.

If anything is missing, make the most reasonable assumption and state it briefly before the strategy.

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

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^{AI SPOTLIGHT}
UniX AI Launches Household Humanoid Robot “Panther” With Real-World Deployment

Chinese robotics firm UniX AI has launched Panther, a full-size humanoid robot designed for real household use, and has already begun global deliveries. The robot stands 5’3”, runs for up to 16 hours on a single charge, and is built with a wheeled base and dual robotic arms capable of executing multi-step tasks like cooking, cleaning, and organizing. Unlike earlier humanoid concepts, Panther focuses on practical deployment, using integrated AI systems for object recognition, navigation, and long-term task planning across real environments. Early demonstrations show it completing continuous workflows—like preparing meals and cleaning afterward—rather than isolated actions. While challenges remain around cost, safety, and reliability, the system signals a shift from experimental robotics to usable home assistants. The deeper thesis: humanoid robots are moving out of the lab and into real-world environments faster than most people expect.

Key Takeaways:

• UniX AI has begun global delivery of a humanoid robot designed for real household tasks
• Panther can perform multi-step workflows like cooking, cleaning, and organizing autonomously
• The launch signals a shift toward practical, deployable robotics rather than experimental prototypes

👉️ Read the full article here

^{AI QUICK HITS}

🧠 A new study found workers lose 51 days per year to bad tools and poor AI integration, showing the real bottleneck isn’t the tech—it’s how companies deploy it.

🔥 A suspect was arrested after allegedly throwing a Molotov cocktail at OpenAI CEO Sam Altman’s home, highlighting rising tensions around AI leaders and companies.

🕵️ The CIA plans to embed “AI co-workers” into its systems to help analysts process intelligence and detect threats faster, signaling deeper government adoption of AI.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—58% were right!

Did you vote in the poll from April 10th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

You don’t need another AI idea

You need something you can sell.

Prompt Empire Builder gives you:

• 300+ monetizable prompts

• A structure to turn them into products

• A system to track buyers and revenue

No theory. No fluff.

Just build something and get it live.

👉️ Get Prompt Empire Builder

^{AI MARKET PULSE}
AI Is Already Replacing Tasks for 20% of U.S. Workers

A new survey from Epoch AI and Ipsos found that 50% of American adults used AI in the past week, with 20% of full-time workers saying AI has already taken over parts of their job. At the same time, 15% reported taking on entirely new tasks because of AI, showing both automation and augmentation happening in parallel. Most usage is still light—over 60% only use AI for one or two quick tasks per day—but adoption is spreading fast, often outside company oversight through personal subscriptions. Meanwhile, economists estimate AI is already eliminating around 16,000 jobs per month. Translation: AI isn’t a future disruption—it’s already reshaping how work gets done in real time.

So what does that mean for you?

This is the early phase where small usage turns into structural change. The workers experimenting casually today are the ones compounding advantages tomorrow. In practical terms, that means:

• Treat even “small” AI use as skill-building, not convenience
• Start integrating AI into core parts of your workflow, not just side tasks
• Pay attention to what tasks are disappearing vs. being created

👉️ Read the article here

How Advisors Scale Without Losing Control

For financial advisors, bad delegation creates delays, inconsistency and risk. That’s why the issue isn’t whether to delegate. It’s whether you’re doing it with structure. BELAY created the free Financial Advisor’s Delegation Guide to help advisors delegate with clarity, tighter workflows and better visibility into what gets done and when.

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^{WORKFLOW BUILDER}
The Vibe-Coded Lead Magnet Builder

Goal: Build a simple AI-powered tool (quiz, calculator, or generator) that captures emails and validates demand in under 30 minutes—no coding required.

Steps:

1. Define the “Irresistible Outcome”
   Pick a narrow problem your audience wants solved instantly (not content—something interactive).

   • Prompt ChatGPT: Act as a conversion-focused product strategist. Based on this niche: “[Your Niche],” generate 5 simple lead magnet tool ideas (quiz, calculator, or generator) that deliver an instant result users would trade their email for.

   ➡️ Next: Choose the idea that feels fastest to build and most specific.

2. Design the Tool Logic
   Map out exactly what inputs the user gives and what output they get.

   • Prompt ChatGPT: Turn this idea into a simple tool logic: “[Your Chosen Idea].” Define (1) user inputs (questions or fields), (2) how the output is generated, and (3) what the final result looks like. Keep it simple enough to build with no-code tools.

   ➡️ Next: Copy the inputs and outputs into a doc.

3. Generate the Output Engine
   Create the actual prompt that will power your tool’s results.

   • Prompt ChatGPT: Act as an expert prompt engineer. Create a reusable prompt that takes these inputs: [List Inputs] and generates a personalized result: [Describe Output]. The output should feel high-value, specific, and tailored to the user.

   ➡️ Next: Save this as your “engine” prompt.

4. Build the Landing Page + Form
   Use a no-code tool to create a simple page that collects emails before showing results.

   • Prompt ChatGPT: Write a high-converting landing page for this free tool: “[Tool Idea].” Include a headline, subheadline, 3 benefit bullets, and a call-to-action that encourages users to enter their email to get results.

   ➡️ Next: Build it in a tool like Softr or a simple form builder with email capture.

5. Connect + Test the Flow
   Hook everything together so users submit → get result → you capture the lead.

   • Prompt ChatGPT: Create a step-by-step flow for delivering results after form submission using tools like Zapier or native integrations. Include how to pass user inputs into ChatGPT and return the output via email or on-screen.

   ➡️ Next: Run 2–3 test submissions and refine the output quality.

Pro Tip (Upgrade):
Use Typeform to create a polished, interactive quiz or intake form that captures emails and makes your lead funnel feel more like a product than a signup page.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

What two founders learned growing a 37-year-old company

Intrepid's co-founder and CEO don't do corporate gloss. Their opening letter in the Integrated Annual Report gets into what 2025 actually required: the hard calls, the strategy reset, and how a nearly 30% growth year still came with real challenges.

Read the report

^{TODAY’S PROMPT}
Write a Client-Winning Proposal in 60 Seconds

This mega-prompt acts like a senior sales strategist and proposal writer, turning your rough project notes into a polished, client-ready proposal. It builds a clear scope, timeline, deliverables, and pricing structure—so you can send professional proposals without overthinking or starting from scratch.

👉 Use the prompt + check out my example output here

Act as an expert freelance proposal writer and sales strategist.

Your job is to turn a rough client brief into a polished, persuasive project proposal that is clear, professional, and designed to win the deal.

INPUTS:

Client Information:
- Client Name: [Client Name]
- Company/Industry: [Industry or Company Type]
- Project Type: [e.g. website redesign, ad campaign, automation setup]

Project Details:
- Client Goal: [What they want to achieve]
- Problem/Opportunity: [What’s currently not working or needs improvement]
- Scope Ideas (if any): [Bullet points or rough ideas]
- Timeline Expectation: [Deadline or timeframe]
- Budget (optional): [If known]

Your Information:
- Your Service/Skill: [What you offer]
- Unique Strengths: [What makes you different]
- Past Results or Proof: [Optional]

OUTPUT:

Create a complete client proposal with the following sections:
1. **Project Overview**
   Summarize the client’s situation and goal in a clear, confident way.
2. **Proposed Solution**
   Explain your approach and how it solves their problem.
3. **Scope of Work**
   List specific deliverables in bullet points.
4. **Timeline**
   Break down the project into phases with estimated timing.
5. **Pricing & Structure**
   Provide a clear pricing breakdown (fixed, tiered, or milestone-based).
6. **Why Me**
   Position your strengths and relevant experience.
7. **Next Steps**
   Clear, simple instructions for how to move forward.
8. **Closing Statement**
   Confident, concise closing that reinforces value.

Make the tone professional but conversational. Avoid fluff. Be specific and persuasive.

If anything is missing, make the most reasonable assumption and state it briefly before the proposal.

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

Your Kafka Bill Is an Architecture Problem

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^{AI SPOTLIGHT}
Anthropic Holds Back “Claude Mythos” Over Security Risks

Anthropic revealed a new frontier model, Claude Mythos, with capabilities that significantly exceed its previous systems—but chose not to release it publicly due to potential misuse. The model demonstrates advanced skills in areas like cybersecurity, software engineering, and autonomous task execution, including the ability to both detect and exploit system vulnerabilities. Instead of a public launch, Anthropic is limiting access to select partners focused on defensive cybersecurity applications. The decision highlights growing concern around dual-use AI systems, where the same capabilities can protect infrastructure or attack it. The deeper thesis: the most advanced AI systems may increasingly be restricted, not released, as their real-world risks become harder to control.

Key Takeaways:

• Anthropic developed a significantly more powerful AI model but is restricting access due to security concerns
• Claude Mythos can both defend and exploit systems, highlighting the dual-use nature of advanced AI
• Frontier AI development may shift toward controlled deployment rather than open release

👉️ Read the full article here

^{AI QUICK HITS}

⚖️ A federal appeals court allowed the Pentagon to label Anthropic a supply-chain risk, escalating tensions between AI companies’ safety guardrails and government demands for broader access.

🏗 Nearly half of planned U.S. data centers for 2026 may be delayed or canceled due to supply chain constraints, signaling a growing bottleneck in AI infrastructure expansion.

⚙️ OpenAI introduced a new $100/month ChatGPT tier aimed at power users, offering significantly higher coding limits as competition with Anthropic heats up.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—54% were right!

Did you vote in the poll from April 8th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

You don’t need another AI idea

You need something you can sell.

Prompt Empire Builder gives you:

• 300+ monetizable prompts

• A structure to turn them into products

• A system to track buyers and revenue

No theory. No fluff.

Just build something and get it live.

👉️ Get Prompt Empire Builder

^{AI MARKET PULSE}
More Than 165,000 Tech Layoffs Later, The AI Jobs Story Still Looks Murky

Tech companies have cut more than 165,000 jobs over the past year while pouring money into AI, with Microsoft reportedly cutting 15,000 workers, Amazon 30,000 in the last six months, and Block more than 4,000 in February alone. But this article makes an important point: a lot of this still looks like an experiment, not proof that AI can already replace huge portions of the workforce. Researchers quoted in the piece argue that today’s systems still struggle with reliability, consistency, memory, and oversight, even as companies sell investors on efficiency gains and future productivity. Translation: companies are restructuring around AI faster than the technology has proven it can fully justify those bets.

So what does that mean for you?

The message is simple: don’t confuse AI hype with settled reality. Jobs are changing, expectations are rising, and employers clearly want workers who can use these tools—but that does not mean the human layer suddenly stopped mattering. In practical terms, that means:

• Learn the tools, but do not assume they can replace judgment
• Build skills around review, strategy, and decision-making
• Watch where companies overpromise AI efficiency before copying them

👉️ Read the article here

How can AI power your income?

Ready to transform artificial intelligence from a buzzword into your personal revenue generator

HubSpot’s groundbreaking guide "200+ AI-Powered Income Ideas" is your gateway to financial innovation in the digital age.

Inside you'll discover:

• A curated collection of 200+ profitable opportunities spanning content creation, e-commerce, gaming, and emerging digital markets—each vetted for real-world potential

• Step-by-step implementation guides designed for beginners, making AI accessible regardless of your technical background

• Cutting-edge strategies aligned with current market trends, ensuring your ventures stay ahead of the curve

Download your guide today and unlock a future where artificial intelligence powers your success. Your next income stream is waiting.

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^{WORKFLOW BUILDER}
The Lead Capture Funnel Builder

Goal: Create a simple, high-converting lead funnel with a landing page, opt-in freebie, thank-you page, and follow-up emails you can launch in under an hour.

Steps:

1. Define the Freebie Hook
   Start by creating a lead magnet people actually want—something fast, specific, and outcome-driven.

   • Prompt ChatGPT: Act as a marketing strategist. Based on this audience: [Target Audience] and this niche/problem: [Problem], generate 5 lead magnet ideas that promise a clear, fast win. For each, include a title, format (checklist, guide, template, etc.), and the specific outcome.

   ➡️ Next: Pick the simplest, most compelling idea you could create in under 30 minutes.

2. Create the Lead Magnet Content
   Build the actual freebie so it delivers immediate value and builds trust.

   • Prompt ChatGPT: Create a concise [Lead Magnet Type] titled “[Lead Magnet Title]” for [Target Audience]. Focus on solving [Specific Problem]. Keep it practical, skimmable, and actionable. Include steps, examples, and a quick win the reader can implement immediately.

   ➡️ Next: Paste this into a clean doc (Notion, Google Docs, or PDF).

3. Write the Landing Page Copy
   Create a simple page that clearly explains the value and gets people to opt in.

   • Prompt ChatGPT: Write a high-converting landing page for this lead magnet: “[Lead Magnet Title].” Include:
   • A strong headline focused on the outcome
   • A 1–2 sentence hook
   • 3–5 bullet benefits
   • A short “what you’ll get” section
   • A simple call to action
   Keep it clear, not hypey, and focused on [Target Audience].

   ➡️ Next: Drop this into your landing page builder (Softr, Webflow, or Notion page).

4. Write the Thank-You Page + Delivery
   Use the thank-you page to deliver the asset and guide the next step.

   • Prompt ChatGPT: Write a thank-you page for someone who just signed up for “[Lead Magnet Title].” Include:
   • A confirmation message
   • Instructions to access/download the freebie
   • One next step (follow on [Platform], reply to email, or book a call)
   Keep it short and clear.

   ➡️ Next: Add the download link and your next-step CTA.

5. Create the Follow-Up Email Sequence
   Turn new subscribers into engaged readers or potential clients.

   • Prompt ChatGPT: Write a 4-email welcome sequence for new subscribers who downloaded “[Lead Magnet Title].”
   Email 1: Deliver the freebie + quick win
   Email 2: Share a relevant insight or story
   Email 3: Teach something actionable related to the problem
   Email 4: Soft pitch for [Your Offer or CTA]
   Keep emails short, conversational, and useful.

   ➡️ Next: Load these into your email tool and schedule over 3–5 days.

Pro Tip (Upgrade):
Use Softr to quickly build a clean landing page and host your lead funnel without needing a full website.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

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^{TODAY’S PROMPT}
Generate Personalized Cold Outreach That Doesn’t Sound Like Cold Outreach

This mega-prompt acts like a sales strategist and copywriter, turning your target customer details, offer, and context into personalized outreach you can actually send. It builds opener lines, message angles, value props, and a follow-up sequence so you can stop guessing and start reaching out with something that feels relevant.

👉 Use the prompt + check out my example output here

Act as an expert B2B outbound sales strategist and conversion copywriter.

Your job is to create a personalized cold outreach system for my business based on the target customer, my offer, and the context I provide. The goal is to help me send outreach that feels specific, relevant, and human instead of generic or spammy.

I want you to analyze the inputs, identify the strongest personalization angles, and then generate a complete outreach package I can use across email, LinkedIn, or direct message outreach.

INPUTS

1. BUSINESS / OFFER
• Business name: [Business Name]
• What I sell: [What You Sell]
• Core outcome I help clients achieve: [Core Outcome]
• Main problem I solve: [Main Problem]
• Key differentiators: [Why My Offer Is Different]
• Proof / credibility / case study: [Proof or Results]
• Call to action I want: [CTA]

2. TARGET CUSTOMER
• Industry: [Industry]
• Target role / job title: [Job Title]
• Company type: [Company Type]
• Company size: [Company Size]
• Likely goals: [Target Customer Goals]
• Likely pain points: [Target Customer Pain Points]
• Likely objections: [Target Customer Objections]

3. PERSONALIZATION CONTEXT
• What I know about this prospect: [Prospect Context]
• Trigger event or reason for outreach: [Trigger Event]
• Relevant observation about their business: [Business Observation]
• Relevant compliment or opener angle: [Compliment or Opener Angle]
• Common tools or systems they may already use: [Current Tools or Systems]

4. OUTREACH PREFERENCES
• Outreach channel: [Email / LinkedIn / DM]
• Tone: [Professional / Friendly / Direct / Sharp]
• Message length preference: [Short / Medium]
• Offer type: [Audit / Demo / Free Resource / Call / Consultation / Other]
• Number of follow-ups wanted: [Number]
• Any words or claims to avoid: [Words to Avoid]

OUTPUT

Create the response in the following numbered sections:

1. **Prospect Snapshot**
Give me a brief summary of who this prospect is, what they likely care about, and what angle is most likely to get their attention.

2. **Best Personalization Angles**
List 5 strong personalization angles based on the inputs. These should feel specific to the prospect’s likely situation, role, and business priorities.

3. **Opener Lines**
Write 10 personalized opener lines I could use. Make them sound natural, specific, and non-cringey.

4. **Core Value Props**
Write 5 value propositions tailored to this prospect. Focus on outcomes, not hype.

5. **Primary Outreach Message**
Write 3 versions of the first outreach message:
• Version A: very short
• Version B: medium length
• Version C: punchier and more direct

6. **Follow-Up Sequence**
Write a follow-up sequence with [Number] messages. Each follow-up should have a different purpose, such as:
• gentle bump
• credibility / proof
• new angle
• low-friction CTA
• clean breakup message

7. **Subject Lines**
If the channel is email, write 10 subject lines that feel relevant and curiosity-driven without sounding spammy.

8. **CTA Options**
Write 10 low-friction call-to-action options I can test.

9. **Objection Handling**
List the top likely objections this prospect may have and give me a short response for each one.

10. **Customization Notes**
Tell me which parts I should personalize manually before sending so the outreach feels more real.

QUALITY RULES
• Make the writing sound human, specific, and sharp
• Do not use hype, corporate jargon, or exaggerated claims
• Avoid sounding needy, robotic, or overly salesy
• Keep the focus on the prospect, not on me
• Make the outreach feel like it came from someone who did their homework
• Prioritize clarity over cleverness
• If anything is missing, make the most reasonable assumption and state it briefly before the plan

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

You don’t need another AI idea

You need something you can sell.

Prompt Empire Builder gives you:

• 300+ monetizable prompts

• A structure to turn them into products

• A system to track buyers and revenue

No theory. No fluff.

Just build something and get it live.

👉️ Get Prompt Empire Builder

^{AI SPOTLIGHT}
Anthropic Is Testing Its New Mythos Model as a Cybersecurity Weapon for Defense

Anthropic has released a preview of Mythos, a new frontier model it calls one of its most powerful yet, and is deploying it through a security initiative called Project Glasswing. The model will be used by 12 partner organizations for defensive cybersecurity work, including scanning first-party and open-source software for vulnerabilities, and Anthropic says it has already identified thousands of zero-day flaws, many of them critical and years old. Partners include Amazon, Apple, Broadcom, Cisco, CrowdStrike, the Linux Foundation, Microsoft, and Palo Alto Networks, while 40 organizations total will get access to the preview. The launch is notable not just because of the model’s claimed power, but because Anthropic is clearly positioning advanced AI as a tool for securing critical software before broader public release. The deeper thesis: frontier AI labs are starting to frame their most powerful models not just as productivity engines, but as strategic infrastructure for cybersecurity itself.

Key Takeaways:

• Anthropic is previewing Mythos through Project Glasswing for defensive cybersecurity work
• The company says Mythos found thousands of zero-day vulnerabilities, including many critical ones
• Major tech and security firms are being brought in early, signaling how strategic AI-driven software defense may become

👉️ Read the full article here

^{AI QUICK HITS}

🧠 Intel is joining Elon Musk’s Terafab chips project, giving Tesla and SpaceX an experienced manufacturing partner as the effort to build a massive U.S. AI semiconductor factory gets more real.

📱 Apple’s foldable iPhone is reportedly still on track for September, setting up a big test of whether Apple can turn a category it did not invent into one it can actually reshape.

⚡️ Maine is close to passing a moratorium on new datacenters, a sign that local backlash against AI infrastructure is moving from complaints to actual legislation.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—50% were wrong!

Did you vote in the poll from April 6th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

What happens when the S&P moves 3% during your commute?

We are living in volatile times. While you cannot control the state of international affairs, you can position your portfolio accordingly.

Liquid is one of the fastest growing trading platforms, allowing users to trade stocks, commodities, FX, and more 24/7/365 from their phone and computer.

Trade 24/7 on Liquid

^{AI MARKET PULSE}
Oracle Reportedly Cut Up to 30,000 Jobs After a 95% Profit Jump

Oracle reportedly sent layoff emails to workers on March 31, with estimates of the cuts ranging from 10,000 to 30,000 employees. The move came after the company posted a 95% year-over-year net income increase to just over $6 billion, even as it faces pressure from a costly AI data center expansion and higher borrowing costs tied to that push. One analysis cited in the article found that cutting 20,000 to 30,000 jobs could save Oracle as much as $10 billion. Translation: AI spending is not just creating new demand—it is also giving large companies cover to aggressively restructure around leaner teams.

So what does that mean for you?

The message is simple: AI investment and job security are increasingly moving in opposite directions inside large companies. In practical terms, that means:

• Treat AI efficiency as a business reality, not a future scenario
• Build skills that make you more valuable than the task itself
• Watch how companies talk about productivity, not just growth

👉️ Read the article here

Turn AI into Your Income Engine

Ready to transform artificial intelligence from a buzzword into your personal revenue generator?

HubSpot’s groundbreaking guide "200+ AI-Powered Income Ideas" is your gateway to financial innovation in the digital age.

Inside you'll discover:

• A curated collection of 200+ profitable opportunities spanning content creation, e-commerce, gaming, and emerging digital markets—each vetted for real-world potential

• Step-by-step implementation guides designed for beginners, making AI accessible regardless of your technical background

• Cutting-edge strategies aligned with current market trends, ensuring your ventures stay ahead of the curve

Download your guide today and unlock a future where artificial intelligence powers your success. Your next income stream is waiting.

Get Your Guide

^{WORKFLOW BUILDER}
The High-Converting Ad Variant Machine

Goal: Turn one proven ad headline into 10 high-converting variations using different psychological triggers, so you can test faster and find winners without guessing.

Steps:

1. Start With a Winning Headline
   Choose an ad headline that has already performed well so you’re building on proven traction.

   • Prompt ChatGPT: Analyze this ad headline: “[Original Headline]”. Explain why it works, what emotional triggers it uses, and what type of audience it appeals to.

   ➡️ Next: Identify the core promise and main benefit to preserve across variations.

2. Map Psychological Triggers
   Define the angles you’ll use to create variation—this is what drives performance differences.

   • Prompt ChatGPT: Create a list of 10 psychological triggers I can use to rewrite this headline, including FOMO, curiosity, urgency, social proof, authority, contrarian angle, simplicity, speed, exclusivity, and pain avoidance. Briefly explain each.

   ➡️ Next: Select the 10 strongest triggers for your audience.

3. Generate 10 Headline Variations
   Use those triggers to systematically create new angles from the same core idea.

   • Prompt ChatGPT: Rewrite this headline: “[Original Headline]” into 10 variations, each based on a different psychological trigger. Keep each under 12 words and make them feel punchy, clear, and scroll-stopping.

   ➡️ Next: Highlight the 3–5 variations that feel the most distinct.

4. Add Pattern Interrupt Hooks
   Sharpen the best variations so they actually stop the scroll.

   • Prompt ChatGPT: Improve these headlines to make them more attention-grabbing using pattern interrupts (unexpected phrasing, contrast, or bold claims) while keeping them believable: [Paste Top 5 Headlines]

   ➡️ Next: Narrow down to your top 3 final contenders.

5. Prepare for Testing
   Turn your headlines into ready-to-launch ad variations.

   • Prompt ChatGPT: For each of these headlines, write a short 1–2 sentence ad body and a simple call-to-action that matches the tone and promise.

   ➡️ Next: Load these into your ad platform and run a small-budget test.

Pro Tip (Upgrade):
Use AdCreative.ai to instantly generate visuals that match each headline and are optimized for conversion—so you’re testing both message and creative at the same time instead of guessing what works.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

100 Genius Side Hustle Ideas

Don't wait. Sign up for The Hustle to unlock our side hustle database. Unlike generic "start a blog" advice, we've curated 100 actual business ideas with real earning potential, startup costs, and time requirements. Join 1.5M professionals getting smarter about business daily and launch your next money-making venture.

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^{TODAY’S PROMPT}
The AI Agency Service Menu Builder

This mega-prompt acts like a productization consultant, turning your general AI skills, niche, and target client into three fixed-price service offers people can actually understand and buy. It builds a tiered service menu with names, deliverables, pricing logic, positioning, and upsell paths so you can stop selling “AI help” and start selling clear outcomes.

👉 Use the prompt + check out my example output here

Act as an expert AI agency productization consultant and service offer strategist for solopreneurs and small agencies.

Your job is to turn a person's general AI knowledge, niche experience, and client goals into a clear 3-tier fixed-price service menu that feels productized, easy to buy, and outcome-focused.

The goal is to help them package what they already know into services that are specific, valuable, and realistic to deliver.

Use the information below to create a service menu that is simple, commercially sharp, and beginner-friendly. Do not make it sound vague, overly technical, or bloated. Focus on business outcomes, clear deliverables, and practical positioning.

## INPUTS

### Business Background
• Business or brand name: [Business Name]
• Short description of what I do now: [What I currently do]
• My niche or industry focus: [Niche or Industry]
• My target customer: [Target Customer]
• My current AI skill level: [Beginner / Intermediate / Advanced]
• My strongest AI-related skills: [List of AI skills, tools, or workflows I know]
• My non-AI background or domain expertise: [Relevant experience]

### Offer Direction
• Type of services I want to offer: [Automation / Content / Lead Gen / Research / Customer Support / Internal Ops / Mixed]
• Preferred delivery model: [Done-for-you / Done-with-you / Strategy only / Mixed]
• Desired client size: [Solo creators / Small businesses / Startups / Agencies / Local businesses]
• Main business problem I want to solve for clients: [Core problem]
• Results I want my services to create: [Desired outcomes]
• Services I do NOT want to offer: [What to avoid]

### Practical Constraints
• How much time I can spend per client each week: [Hours]
• Whether I want recurring retainers, one-off projects, or both: [Retainer / One-off / Both]
• My ideal pricing position: [Budget / Mid-range / Premium]
• Tools I want to use in delivery: [ChatGPT, Zapier, Notion, Airtable, etc.]
• Tools I do not want included: [Avoided tools]
• My confidence in sales calls: [Low / Medium / High]

### Brand Positioning
• Tone I want my offers to have: [Simple / Premium / Fast-moving / Analytical / Friendly / Direct]
• Words or phrases I like: [Preferred language]
• Words or phrases to avoid: [Avoid language]
• Competitors or examples I like: [Examples]
• What makes me different: [Unique angle]

## TASK

Create a complete 3-tier AI agency service menu. The offers should feel like named products, not vague freelance services. Each tier should clearly increase in value, scope, and price logic.

The service menu should be realistic for a solo operator or small agency to deliver. Keep the structure clean and easy for a prospect to understand in under 2 minutes.

## OUTPUT

Provide your response in the exact structure below:

### 1. Best Positioning Strategy
Start with a short explanation of the best overall positioning angle for this business.
Explain:
1. The most promising service category to lead with
2. Why this angle fits the target customer
3. Which business pain point is most commercially useful to solve
4. What kind of transformation the offers should promise

### 2. Three Productized Service Offers
Create 3 tiered service offers.

For each offer, include:
1. Offer name
2. One-sentence promise
3. Best-fit client type
4. Core business outcome
5. Delivery model
6. What is included (5-8 clear deliverables)
7. Estimated turnaround time
8. Suggested pricing range with brief justification
9. Why this offer is attractive to buyers
10. What makes it different from generic AI consulting

Make the tiers feel like:
• Tier 1 = entry-level / starter
• Tier 2 = core offer / best value
• Tier 3 = premium / highest transformation

### 3. Service Menu Summary Table
Create a clean comparison table with these columns:
• Offer Name
• Best For
• Main Outcome
• Delivery Style
• Timeline
• Pricing Position

### 4. Signature Deliverables
List 5-7 branded or named deliverables I could use across the service menu to make the offers feel more proprietary.
Examples of the style:
• Lead Flow OS
• Content Engine Map
• AI Follow-Up System
Do not copy those exactly unless they truly fit.

### 5. Pricing Logic
Explain the pricing strategy in plain English.
Cover:
1. Why the tiers are priced the way they are
2. How to avoid underpricing
3. Which offer should be positioned as the most popular
4. Which upsell or add-on could raise average order value

### 6. Add-Ons and Upsells
Suggest 5 relevant add-ons or upsells.
For each one, include:
1. Add-on name
2. What it includes
3. When to offer it
4. Why clients would buy it

### 7. Objection Handling
List the 7 most likely buyer objections and give a short, persuasive response to each.

### 8. Sales Page Copy Starter
Write:
1. A short headline for the service menu page
2. A subheadline
3. A short intro paragraph
4. A 1-2 sentence pitch for each of the 3 offers
5. A simple CTA

### 9. Recommended First Offer
Based on everything above, tell me which one offer I should launch first and why.
Keep this recommendation practical based on ease of delivery, buyer clarity, and likelihood of closing.

### 10. 30-Second Offer Pitch
Write a short spoken pitch I could use on a sales call, in a DM, or on my website to explain what I do clearly.

## QUALITY RULES

• Make the offers specific, not generic
• Focus on outcomes, not buzzwords
• Avoid vague phrases like “AI transformation” unless tied to a concrete result
• Do not suggest enterprise consulting, courses, or complicated agency models
• Make the offers feel sellable this week
• Keep the writing sharp, clear, and commercially useful
• Assume the user wants simple services they can actually deliver

If anything is missing, make the most reasonable assumption and state it briefly before the plan.

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

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^{AI SPOTLIGHT}
Anthropic Is Expanding Deeper Into Biotech With a Reported $400 Million Deal

Anthropic has reportedly acquired biotech AI startup Coefficient Bio in a $400 million stock deal, pulling a roughly 10-person team into its growing health and life sciences unit. The startup was founded just eight months ago by two former Genentech researchers and focused on using AI to make drug discovery and biological research more efficient. The move builds on Anthropic’s earlier launch of Claude for Life Sciences and signals that frontier model companies are moving beyond general-purpose chat into high-value scientific domains. The deeper thesis: leading AI firms are increasingly trying to own specialized industry workflows, not just the models that power them.

Key Takeaways:

• Anthropic reportedly bought Coefficient Bio for $400 million in stock
• The acquisition strengthens Anthropic’s push into healthcare and life sciences
• AI companies are increasingly targeting scientific research as a major applied market

👉️ Read the full article here

^{AI QUICK HITS}

🔧 TechCrunch reports that Japan is pushing physical AI from pilot projects into real deployment as labor shortages worsen, with the government aiming to capture 30% of the global market by 2040 and backing the effort with about $6.3 billion.

🩻 The Antoni van Leeuwenhoek Hospital in Amsterdam says new AI software cut MRI scan times from 23 minutes to 9 minutes, improving image quality and letting the hospital perform 18 more exams per week during normal daytime hours.

🧠 CNBC reports that Chinese chip firms are posting record revenue as AI demand and U.S. export curbs push domestic buyers toward homegrown suppliers, with SMIC reporting a record $9.3 billion in 2025 revenue and Moore Threads guiding for as much as 247% year-over-year growth.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—53% were right!

Did you vote in the poll from April 4th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

AI Alone Can’t Run Revenue

Finance doesn’t run on “mostly right.” It runs on math.

In The Architecture Behind AI-Native Revenue Automation, Tabs’s CTO breaks down why LLMs alone aren’t enough—and what it actually takes to build audit-ready, AI-driven contract-to-cash systems for modern B2B teams.

Get the whitepaper

^{AI MARKET PULSE}
AI Could Reshape 50% to 55% of U.S. Jobs Before It Eliminates Most of Them

BCG says the near-term AI story is not mass job extinction. It is job redesign. In its new analysis, the firm estimates that 50% to 55% of U.S. jobs will be meaningfully reshaped by AI over the next two to three years, while only 10% to 15% could eventually be eliminated over a longer horizon. The key distinction is whether AI substitutes for workers outright or simply changes how the work gets done. In many roles, especially those that still require judgment, oversight, and human interaction, AI looks more like a force multiplier than a replacement. Translation: the biggest workforce shift may not be fewer jobs right away. It may be higher expectations inside the jobs that remain.

So what does that mean for you?

The message here is simple: a lot of people may keep their title but lose the version of the job they know today. In practical terms, that means:

• Start treating AI fluency like part of your job, not an optional side skill
• Focus on work that requires judgment, problem-solving, and decision-making
• Expect entry-level and routine tasks to change first, then plan around that

👉️ Read the article here

10 AI Stocks to Lead the Next Decade

AI isn’t a tech trend – it’s a full-blown, multi-trillion dollar race, and 10 companies are already pulling ahead.

These are the innovators driving real revenue, attracting institutional attention, and positioning for massive growth.

Get all 10 tickers in The 10 Best AI Stocks to Own in 2026, free today.

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^{WORKFLOW BUILDER}
The Ghostwriter’s Research Assistant

Goal: Automate your research process so you can turn any niche topic into high-quality LinkedIn content with contrarian angles and data-backed hooks.

Steps:

1. Define the Topic Angle
   Start by getting clear on the exact niche topic you want to write about so the research is focused and useful.

   • Prompt ChatGPT: Act as a LinkedIn content strategist. Given the topic “[Your Niche Topic],” break it into 5 specific subtopics or angles that professionals in this niche actively discuss.

   • ➡️ Next: Choose the most interesting or timely angle to focus your post on.

2. Extract Contrarian Takes
   Find opinions that go against the default narrative—this is what makes posts stand out.

   • Prompt ChatGPT: For the topic “[Selected Angle],” list 5 contrarian or non-obvious viewpoints that challenge common beliefs in this niche. Make them specific and thought-provoking.

   • ➡️ Next: Pick 1–2 contrarian ideas that feel strong enough to build a post around.

3. Pull Data-Backed Hooks
   Add credibility and scroll-stopping power with real numbers and insights.

   • Prompt ChatGPT: Find 5 data-backed statistics, research findings, or credible insights related to “[Selected Angle].” For each, include a short explanation of why it matters.

   • ➡️ Next: Highlight the 1–2 stats that would work best as opening hooks.

4. Turn Research Into Post Hooks
   Translate your insights into compelling opening lines for LinkedIn.

   • Prompt ChatGPT: Using these contrarian ideas: [Paste Ideas] and these data points: [Paste Stats], write 5 strong LinkedIn hooks that are concise, curiosity-driven, and designed to stop the scroll.

   • ➡️ Next: Select your favorite hook and refine it to match your voice.

5. Structure the Full Post
   Turn your research into a clean, engaging LinkedIn post.

   • Prompt ChatGPT: Write a LinkedIn post based on this hook: “[Hook]”. Use a clear structure: strong opening, contrarian insight, supporting data, and a simple takeaway. Keep sentences short and conversational.

   • ➡️ Next: Edit for tone, add a personal example if possible, and publish.

Pro Tip (Upgrade):
Use Castmagic to pull insights, quotes, and key ideas from niche podcasts or YouTube videos in your space. It gives you raw, high-quality source material you can turn into contrarian posts without starting from scratch.

Discover the AI tools I trust — organized, updated, and built to help you win.

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^{TODAY’S PROMPT}
Stress-Test Your Next Client Call Before It Happens

This mega-prompt acts like a tough procurement officer, turning your deal details, pricing, and client context into a realistic negotiation simulation. It helps you pressure-test objections, sharpen your responses, and walk into the real call with a stronger script and more confidence.

👉 Use the prompt + check out my example output here

Act as an elite B2B sales strategist, procurement negotiator, and roleplay coach.

Your job is to simulate a high-stakes client negotiation so I can prepare for a real discovery call, pricing call, renewal conversation, or procurement review. You will play the role of a skeptical client or procurement officer who is difficult, informed, cost-conscious, and willing to push back hard on pricing, scope, timing, and risk.

I want you to challenge me realistically, expose weak parts of my pitch, and then help me improve my answers so I leave with a stronger negotiation script.

## Inputs

**My Offer**
• Offer name: [Offer name]
• What I sell: [Product or service description]
• Pricing: [Price, pricing model, contract size, payment terms]
• Core value proposition: [Main promise or business outcome]
• Key differentiators: [Why this is different or better]
• Scope included: [What is included]
• Scope excluded: [What is not included]

**Client Context**
• Client company: [Company name or type]
• Industry: [Industry]
• Buyer role: [Procurement officer, COO, marketing lead, founder, etc.]
• Current situation: [What is happening in their business right now]
• Their goals: [What they want]
• Their likely objections: [Price, ROI, timing, internal approval, switching costs, trust, etc.]
• Competitive alternatives: [What else they may choose]
• Budget sensitivity: [Low, medium, high]
• Urgency level: [Low, medium, high]

**Call Context**
• Type of call: [Discovery / proposal / renewal / procurement / follow-up]
• Desired outcome: [Close the deal, get next meeting, defend price, expand scope, etc.]
• My current concern: [Where I feel weak or unsure]
• My negotiation style: [Too soft, too wordy, defensive, rushed, etc.]
• Tone I want to project: [Calm, confident, consultative, firm, concise]

## What to do

1. First, summarize the negotiation environment in 5-8 bullet points so I can see the pressure points clearly.
2. Then create a realistic client persona for the skeptical buyer, including their mindset, incentives, and negotiation strategy.
3. List the 10 hardest objections or pressure tactics this buyer is likely to use in the conversation.
4. Simulate a live negotiation by writing a back-and-forth roleplay with:
   - The client’s question or objection
   - My best response
   - The client’s follow-up pushback
   - My improved response
5. Include at least 8 rounds of negotiation, and make the objections progressively harder.
6. After the roleplay, audit my performance by showing:
   - What I handled well
   - Where I sounded weak
   - What language lowered my leverage
   - What language increased trust and control
7. Rewrite my responses into a “winning script” I can use on the actual call.
8. Create a concise objection-handling cheat sheet with:
   - Objection
   - Best short response
   - Best longer response
   - Mistake to avoid
9. Give me 5 phrases I should avoid saying because they weaken my position.
10. Give me 10 stronger replacement phrases that sound confident, calm, and commercially smart.
11. End with a final negotiation game plan for before, during, and after the call.

## Output Requirements

Format the output in this order:

1. Negotiation Snapshot
2. Skeptical Buyer Profile
3. Top 10 Likely Objections
4. 8-Round Negotiation Simulation
5. Performance Audit
6. Winning Script
7. Objection-Handling Cheat Sheet
8. Phrases to Avoid
9. Stronger Replacement Phrases
10. Final Call Game Plan

Make the roleplay realistic, commercially sharp, and specific to my situation. Do not make the client cartoonishly hostile. Make them sound credible, experienced, and difficult to persuade.

If anything is missing, make the most reasonable assumption and state it briefly before the plan.

⚡️ Want to Build and Sell Prompts Like This?
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^{AI SPOTLIGHT}
Anthropic Says Its New “Mythos” Model Is a Step Beyond Anything It Has Released Before

Anthropic says it is testing a new model called Mythos with early access customers after a data leak revealed draft materials describing it as the company’s most powerful AI system yet. According to Fortune, the leaked documents suggested the model may also be tied to a new “Capybara” tier above Opus, Anthropic’s current highest-end model class, and that the company sees it as a major leap in reasoning, coding, and cybersecurity performance. Anthropic also appears especially cautious about the model’s cyber capabilities, with the draft materials warning that it could introduce unusually serious dual-use risks if released too broadly. The deeper thesis: frontier AI labs are getting close enough to genuinely dangerous cyber capability that product launches may increasingly look more like controlled security rollouts than normal software releases.

Key Takeaways:

• Anthropic confirmed it is testing a new model called Mythos with a small group of early access customers
• The leaked materials suggest Anthropic sees the model as more capable than its current Opus line
• Cybersecurity risk appears to be a major reason the company is moving cautiously on release

👉️ Read the full article here

^{AI QUICK HITS}

🏭 TSMC is reportedly weighing a much bigger Arizona expansion that could take its U.S. footprint to 12 fabs and four packaging facilities, underscoring how aggressively chip capacity is being repositioned around the AI race even if the latest details still look more like rumor than confirmed plan.

🎵 ElevenLabs has quietly launched ElevenMusic, a new app that lets users generate and remix songs with text prompts, signaling the company wants to move beyond voice and become a broader consumer AI media platform.

🤖 Europe’s humanoid robot push is gaining momentum through companies like Hexagon and Neura Robotics, suggesting Europe may still have a real opening in embodied AI even after falling behind in earlier tech waves.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—57% were right!

Did you vote in the poll from April 2nd? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

AI Alone Can’t Run Revenue

Finance doesn’t run on “mostly right.” It runs on math.

In The Architecture Behind AI-Native Revenue Automation, Tabs’s CTO breaks down why LLMs alone aren’t enough—and what it actually takes to build audit-ready, AI-driven contract-to-cash systems for modern B2B teams.

Get the whitepaper

^{AI MARKET PULSE}
AI Spending Is Starting to Show Up as Headcount Pressure

Tech layoffs are rising again, and AI is becoming harder to separate from the story. U.S. tech companies have announced 52,050 job cuts so far in 2026, with 18,720 of those cuts landing in March alone, according to Challenger, Gray & Christmas. The firm said first-quarter tech layoffs are up 40% from a year ago, while AI was cited as the top reason for job cuts across industries in March. There is still debate over whether AI is directly replacing large numbers of workers yet, but one thing is already clear: companies are redirecting more budget toward AI and trimming elsewhere to make room for that shift. Translation: even before full automation arrives, AI is already changing how companies allocate money, talent, and priorities.

So what does that mean for you?

The message here is not panic. It is positioning. In practical terms, that means:

• Build practical AI skills that make you more useful inside changing teams
• Double down on judgment, communication, and decision-making skills AI still struggles with
• Pay close attention to where your industry is reinvesting, because that is usually where opportunity is moving

👉️ Read the article here

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• 300+ monetizable prompts
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^{WORKFLOW BUILDER}
The AI Landing Page Architect

Goal: Use AI to draft the copy, structure, and design prompts for a high-converting lead magnet page in minutes.

Steps:

1. Identify the Hook 
   Pinpoint the primary problem and a unique headline to make your audience trade their email address.
   • Prompt ChatGPT: Act as a marketer. Identify 3 pain points for [Audience] and write 3 headlines for a lead magnet about [Topic].
   • ➡️ Next: Choose the headline that generates the most immediate "click-to-solve" tension.

2. Map the Layout 
   Create a structure based on proven conversion frameworks to guide the visitor toward the sign-up.
   • Prompt ChatGPT: Create a 5-section landing page outline for [Headline]. Include Hero, Problem, Solution, Benefits, and CTA.
   • ➡️ Next: Map these sections into blank containers within your page builder of choice.

3. Draft the Copy 
   Generate punchy, benefit-driven text for every section without over-explaining the features.
   • Prompt ChatGPT: Write copy for these 5 sections. Tone: [Direct]. Focus on the outcome the reader gets after downloading.
   • ➡️ Next: Paste the text into your builder and delete any generic marketing fluff or buzzwords.

4. Script the Visuals 
   Use AI to create custom hero images that match your brand instead of using stale stock photos.
   • Prompt ChatGPT: Write 3 Midjourney prompts for a Hero image representing [Outcome]. Style: [Professional/Clean].
   • ➡️ Next: Generate the image and set it as your primary background to drive emotional resonance.

5. Automate the Delivery 
   Draft the thank-you page and the initial delivery email to fulfill the promise instantly.
   • Prompt ChatGPT: Write a 1-sentence "Thank You" page and a 3-sentence delivery email for [Lead Magnet].
   • ➡️ Next: Link your form to your email provider to trigger this sequence the second they join.

Pro Tip (Upgrade):
Use Softr to turn your prompts into a functional site automatically with AI-generated blocks. For deep optimization, use Unbounce and its Smart Builder to let AI adjust your layout based on real-time conversion data.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

How Jennifer Aniston’s LolaVie brand grew sales 40% with CTV ads

The DTC beauty category is crowded. To break through, Jennifer Aniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.

Learn more

^{TODAY’S PROMPT}
Build a 12-Month Business Roadmap With GPT-5 Thinking Mode

This mega-prompt acts like a strategic architect, turning your raw business idea into a 12-month execution roadmap. It forces the model to reason through market saturation, technical hurdles, positioning, and distribution before it gives you the plan, so you get something far more useful than a generic startup outline.

👉 Use the prompt + check out my example output here

Act as a world-class strategic architect, startup operator, market analyst, product strategist, and go-to-market advisor.

Your job is to take a raw business idea and turn it into a sharp, realistic, 12-month execution roadmap. Before giving the plan, you must think through the business like an operator would: assess market saturation, competitive pressure, customer demand, business model viability, product complexity, technical hurdles, distribution channels, pricing logic, and execution risk.

Do not give me generic startup advice. Build a plan that reflects the actual constraints and opportunities of this idea.

INPUTS

BUSINESS IDEA
• Business idea: [Describe the business idea in 2-5 sentences]
• Product or service type: [SaaS / service / media brand / marketplace / app / agency / ecommerce / other]
• Target customer: [Who this is for]
• Problem being solved: [What pain point this addresses]
• Current stage: [Idea only / validating / building / launched / early traction]
• Business goal: [Side income / full-time business / audience growth / lead generation / product sales / other]

FOUNDER CONTEXT
• Founder background: [Skills, experience, unfair advantages]
• Team size: [Solo / 2-5 people / etc.]
• Available time per week: [Hours]
• Budget range: [Low / moderate / high + optional details]
• Geographic focus: [Local / national / global / specific country]
• Risk tolerance: [Low / medium / high]

PRODUCT + DELIVERY
• Core offer: [What exactly will be sold first]
• Delivery model: [DIY software / done-for-you service / productized service / subscription / one-time purchase / hybrid]
• Must-have features or constraints: [List anything important]
• Tech stack preferences: [No-code / low-code / custom-built / open to anything]
• Dependencies or technical concerns: [APIs, compliance, data access, automation needs, etc.]

MARKET + COMPETITION
• Known competitors: [List competitors or say none known]
• Category maturity: [Emerging / growing / crowded / unclear]
• Existing audience or distribution assets: [Email list, social following, network, SEO traffic, community, none]
• Preferred acquisition channels: [Organic social / paid ads / SEO / outbound / partnerships / communities / referrals / content]
• Pricing assumptions: [What you think people may pay]

OUTPUT

Create the response in the exact structure below:

1. BUSINESS SUMMARY
Give a tight summary of the idea, who it serves, and what makes it potentially viable.

2. STRATEGIC VIABILITY ASSESSMENT
Score the idea from 1-10 on:
• Market demand
• Competitive intensity
• Ease of execution
• Speed to first revenue
• Defensibility
• Distribution difficulty
Then explain the scores briefly.

3. MARKET SATURATION + COMPETITIVE LANDSCAPE
Explain how crowded this market likely is, what types of competitors exist, where they are weak, and what gap this business could realistically fill.

4. IDEAL POSITIONING
Define:
• Best target niche
• Core value proposition
• Strongest differentiator
• Why customers would switch or buy
• What angle would make this business easier to notice

5. PRODUCT + TECHNICAL REALITY CHECK
Identify the likely technical hurdles, operational bottlenecks, delivery risks, and build-vs-buy decisions. Tell me the simplest version of the offer I should launch first.

6. BUSINESS MODEL RECOMMENDATION
Recommend the best monetization model for this idea and explain why. Include suggested offer ladder if relevant:
• Entry offer
• Core offer
• Expansion or upsell offer

7. DISTRIBUTION STRATEGY
Rank the top 3 customer acquisition channels for this business based on probability of working in the first 12 months. For each one, explain:
• Why it fits
• What assets it requires
• How hard it is
• What early traction would look like

8. 12-MONTH EXECUTION ROADMAP
Break the business into 4 phases:
• Phase 1: Months 1-3
• Phase 2: Months 4-6
• Phase 3: Months 7-9
• Phase 4: Months 10-12

For each phase, include:
• Primary objective
• Key milestones
• Weekly focus areas
• What to test
• What to avoid
• Success metric

9. FIRST 30 DAYS ACTION PLAN
Give me a practical week-by-week plan for the first 4 weeks with specific actions I can actually take.

10. BIGGEST RISKS + FAILURE POINTS
List the most likely reasons this business could fail and how to reduce those risks early.

11. STRATEGIC RECOMMENDATION
Give a final verdict:
• Pursue aggressively
• Pursue cautiously
• Validate before building
• Reject and rethink
Then explain why in plain English.

12. OPTIONAL PIVOTS
Suggest 2-3 smarter pivots or adjacent versions of the idea if the current version looks weak.

QUALITY RULES

• Think like an experienced operator, not a motivational coach
• Be specific, realistic, and commercially sharp
• Do not assume unlimited time, capital, or technical talent
• Favor simple execution over complexity when possible
• Point out weak assumptions clearly
• When you recommend a channel or strategy, explain why it fits this exact business
• If anything is missing, make the most reasonable assumption and state it briefly before the plan

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

AI Alone Can’t Run Revenue

Finance doesn’t run on “mostly right.” It runs on math.

In The Architecture Behind AI-Native Revenue Automation, Tabs’s CTO breaks down why LLMs alone aren’t enough—and what it actually takes to build audit-ready, AI-driven contract-to-cash systems for modern B2B teams.

Get the whitepaper

^{AI SPOTLIGHT}
Microsoft Is Building More of Its Own AI Stack

Microsoft has rolled out three new in-house AI models focused on transcription, voice, and image generation, a notable sign that it wants more direct control over key parts of its model layer. That matters because Microsoft is no longer just the company commercializing someone else’s breakthroughs. It is increasingly acting like a model builder in its own right, while keeping the flexibility to use outside models when needed. The deeper thesis: the AI stack is starting to fragment, and big platforms may increasingly stitch together their own mix of models instead of betting everything on a single provider.

Key Takeaways:

• Microsoft introduced three new foundational models spanning transcription, voice, and image generation.
• The move signals a broader push toward model independence inside Microsoft’s AI strategy.
• For enterprises, that likely means a more modular AI future where different models handle different jobs.

👉️ Read the full article here

^{AI QUICK HITS}

💰 OpenAI has reached a historic $852 billion valuation following a massive $122 billion investment round led by Amazon, Nvidia, and SoftBank.

🤖 A fleet of Starship delivery robots has officially rolled out at a major Florida university campus to automate food and package deliveries for students.

🧠 Google's new Gemma-4 open models bring high-performance reasoning capabilities to smaller, low-power devices.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—52% were right!

Did you vote in the poll from April 1st? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

10 AI Stocks to Lead the Next Decade

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^{AI MARKET PULSE}
Atlassian Pivots to AI-First Engineering with 1,600 Job Cuts

Atlassian is laying off 1,600 employees—10% of its staff—to pivot toward an AI-first architecture. This isn't cost-cutting; the firm is replacing legacy roles with AI-specific engineering talent and new leadership. By prioritizing AI fluency over generalist development, Atlassian is making AI its core foundation. The deeper thesis: Companies are no longer just hiring for AI—they are purging talent that can't adapt to an AI-first environment.

So what does that mean for you?

The definition of "essential talent" has changed. As giants swap generalists for AI specialists, AI literacy is no longer optional. In practical terms, that means:

• Audit your role for AI-first restructuring vulnerabilities
• Shift from a casual user to a technical implementer
• Use AI literacy as your primary career insurance

👉️ Read the article here

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^{WORKFLOW BUILDER}
The Hyper-Personalized Cold Outreach Engine

Goal: Build a system that scans LinkedIn activity to draft non-spammy, high-conversion emails by focusing on relevance over volume.

Steps:

1. Target Active Leads 
   Filter for "signal" prospects active in the last 30 days to ensure your outreach hits a warm inbox.
   • Prompt ChatGPT: List 5 LinkedIn "activity signals" indicating [Ideal Customer Profile] is open to [Your Service].
   • ➡️ Next: Filter your CRM for leads currently showing these engagement signals.

2. Extract the Hook 

   Grab the prospect’s latest post to find a genuine, non-generic entry point for your conversation.
   • Prompt ChatGPT: Analyze this post: [Paste Post]. Extract one specific insight for a cold email opener.
   • ➡️ Next: Save this as a custom variable in your lead sheet or outreach tool.

3. Draft the Anti-Template 

   Write a short, peer-to-peer note that proves you actually read their content and aren't using a bot.
   • Prompt ChatGPT: Write a 3-sentence email to [Name]. Sentence 1: Reference [Insight]. Sentence 2: Connect to [Value Prop]. Sentence 3: Interest-based CTA. Tone: Direct.
   • ➡️ Next: Delete any "AI-isms" like "I hope this finds you well" from the draft.

4. Build the Sequence 
   Coordinate a multi-channel approach spanning LinkedIn and email without feeling repetitive or intrusive.
   • Prompt ChatGPT: Create a 3-step sequence: 1. Connection request, 2. Personalized email, 3. Value-add "bump" follow-up.
   • ➡️ Next: Load steps into your outreach tool with 3-day delays between each touchpoint.

5. Set Activity Triggers 
   Follow up specifically when they interact with your content or post something new rather than on a fixed schedule.
   • Prompt ChatGPT: Write a follow-up for if a prospect likes my post while this sequence is active.
   • ➡️ Next: Manually check for fresh activity before the final automated touch goes out.

Pro Tip (Upgrade):
Use AiSDR to automate research and drafting natively. For high-volume filtering, use Apollo.io to build lists of leads who have "posted on LinkedIn in the last 30 days," ensuring you only target the most active prospects.

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^{TODAY’S PROMPT}
Turn Reddit Threads and Reviews Into a Real Offer Idea

This mega-prompt acts like a market research analyst and conversion copywriter, turning pasted Reddit threads or Amazon reviews into a clear picture of what people are still frustrated by in a niche. It builds a market-gap summary plus a landing page headline and offer concept so you can move from raw complaints to something people might actually pay for.

👉 Use the prompt + check out my example output here

Act as an expert market research analyst, customer insight strategist, and direct-response copywriter.

Your job is to analyze the Reddit threads, Amazon reviews, or customer complaint language I provide and identify the most important unsolved frustration in the niche. Then turn that frustration into a sharp market opportunity, including a landing page headline and a simple offer concept designed to solve the problem.

If anything is missing, make the most reasonable assumption and state it briefly before the plan.

INPUTS

NICHE CONTEXT
• Niche or market: [Niche/Market]
• Product category: [Product or Service Category]
• Target customer: [Who They Are]
• What they are trying to achieve: [Desired Outcome]
• What they currently use: [Existing Products, Services, or Workarounds]
• Price sensitivity: [Low / Medium / High / Unknown]
• Any format constraints for the eventual offer: [digital product / service / software / physical product / membership / other]

SOURCE MATERIAL
• Reddit threads: [Paste thread text, comments, or summaries]
• Amazon reviews: [Paste reviews]
• Other customer feedback: [Paste survey responses, support tickets, DMs, forum comments, etc.]
• Competitors already in the space: [List competitors if known]
• My existing product, audience, or advantage: [Optional context]

ANALYSIS GOALS
• What I want to find: [pain point / unmet need / bad customer experience / missing feature / positioning gap]
• Risk level I want: [safe / moderate / bold]
• Offer style I prefer: [simple / premium / low-ticket / recurring / service-based / productized / software]
• Tone for the landing page: [direct / premium / friendly / urgent / plainspoken]

OUTPUT

Create the response in the following sections:

1. Market Frustration Summary
Analyze the source material and explain:
• The top recurring complaints or friction points
• The emotional language people use
• What people expected but did not get
• What workarounds they are currently using
• Which pain points seem superficial versus truly important

2. The Core Unsolved Problem
Identify the single most important unsolved frustration in the niche.
Then explain:
• Why this problem keeps coming up
• Why existing options are failing to solve it
• Why this problem may be commercially valuable

3. Customer Language Bank
Extract the most useful phrases, word choices, and emotional patterns from the source material.
Organize them into:
• What people want
• What they are frustrated by
• What they are skeptical of
• What outcome they are willing to pay for

4. Opportunity Angle
Give me 3 possible market-gap angles I could pursue.
For each angle, include:
• The angle name
• The specific frustration it solves
• Why it could stand out
• The type of offer it fits best

5. Best Offer Recommendation
Choose the strongest opportunity and recommend:
• The best offer type
• Who it is for
• What problem it solves
• What makes it different
• Why this is the best starting point

6. Landing Page Headline Set
Write:
• 10 headline options
• 5 subheadline options
• 3 call-to-action button lines
Make them grounded in the real customer frustration language, not generic marketing copy.

7. Offer Draft
Create a simple first-pass offer that includes:
• Offer name
• One-sentence promise
• What is included
• Delivery format
• Why it feels easier, faster, or better than current alternatives
• 3 bullet point benefits
• 3 likely objections and how to answer them

8. Fast Validation Plan
Give me 5 practical ways to test whether this offer has real demand using simple, low-cost methods.
Focus on validation steps I could do this week.

9. Final Verdict
End with a concise recommendation that states:
• The strongest market gap
• The best offer to test first
• The most effective landing page message direction

QUALITY BAR
Be specific. Do not give vague business ideas or generic pain points. Use the actual wording, emotional cues, and repeated themes in the pasted source material to find the sharpest commercial opportunity. Prioritize problems that are painful, recurring, expensive, time-consuming, or emotionally frustrating enough that people may actively want a better solution.

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

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^{AI SPOTLIGHT}
Anthropic’s Claude Subscriptions Double as Enterprise Demand Explodes

Anthropic confirmed that paid subscriptions for Claude more than doubled in early 2026, reaching an annualized revenue run-rate between $14 billion and $19 billion. While consumer interest remains high, the enterprise sector now accounts for 80% of total revenue. Growth is driven by specialized agentic tools like "Claude Code" and strategic partnerships with firms like Accenture. Following a $30 billion Series G round, Anthropic is positioning itself as the primary reasoning engine for high-stakes professional environments. The deeper thesis: The market is moving from "raw scale" to "high-reasoning," as businesses pay for safety and complex problem-solving.

Key Takeaways:

• Paid subscriptions and revenue run-rates doubled in Q1 2026, signaling a shift toward sustainable enterprise monetization.
• Enterprise demand now drives 80% of total revenue, prioritizing specialized business applications over consumer chat.
• Strategic partnerships in cybersecurity highlight Claude's use as a secure reasoning core for critical infrastructure.

👉️ Read the full article here

^{AI QUICK HITS}

📉 Meta is cutting hundreds more jobs across Reality Labs and sales to fuel its massive $135 billion AI infrastructure push, signaling a total pivot toward compute power over legacy projects.

🚚 Ford Pro is rolling out a new AI fleet assistant that automates up to 23 hours of weekly admin work by turning billions of telematics data points into actionable cost-reduction emails for managers.

🧠 Anthropic accidentally exposed Claude Code’s source code through a misconfigured npm package, leaking over 500,000 lines and giving developers a rare inside look at how the tool works.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—60% were wrong!

Did you vote in the poll from March 30th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

You don’t need more AI content

You need a direction

The AI Income Playbook gives you:
• 200 real AI income ideas
• 10 categories to choose from
• Clear starting points
• First steps so you actually move

No theory. No fluff.
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^{AI MARKET PULSE}
95% of AI Pilots Are Failing—While Solopreneurs Are Quietly Winning

Deloitte’s 2026 State of AI in the Enterprise report reveals a massive "execution gap" in the corporate world: while 84% of companies have hiked their AI budgets, only 25% have moved more than 40% of their experiments into actual production. Despite massive access, daily usage is stagnant because big tech integration is hitting a wall of bureaucracy and messy legacy data.

The deeper thesis: Corporate AI is currently a bloated science project, creating a massive vacuum for nimble solopreneurs to outpace giant incumbents.

So what does that mean for you?

This is the greatest opportunity in history to build your own income stream. While enterprises spend 18 months in "security reviews," you can use the exact same models to build, ship, and monetize in 18 hours. In practical terms, that means:

• Exploit the Speed Gap: Use the "execution gap" to offer services or products that big companies are too slow to automate internally.

• Build "Production-First": Don't just play with prompts; build a specific, repeatable workflow that generates a lead, a line of code, or a piece of content every single day.

• Monetize the "Implementation Gap": While enterprises are paralyzed by red tape, you can use AI to build "micro-services" that solve the exact problems big companies are failing to address internally.

👉️ Read the article here

1,000+ Proven ChatGPT Prompts That Help You Work 10X Faster

ChatGPT is insanely powerful.

But most people waste 90% of its potential by using it like Google.

These 1,000+ proven ChatGPT prompts fix that and help you work 10X faster.

Sign up for Superhuman AI and get:

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Claim your free prompts

^{WORKFLOW BUILDER}
The "Infinite" Customer Support Agent

Goal: Resolve 80% of common customer inquiries on your website 24/7 without being "online."

Steps:

1. Extract the "Brain" Data Gather your FAQs and docs to give the agent its knowledge base.
   • Prompt ChatGPT: Act as a Support Manager. Categorize these docs into "Instant Resolutions" and "Escalation Paths": [Paste Docs/FAQs].
   • ➡️ Next: Save this list as a markdown file for your bot's training data.

2. Configure the Persona Define the voice and boundaries so the agent sounds human but stays on script.
   • Prompt ChatGPT: Write a "System Instruction" for an AI support agent. Tone: [Helpful/Professional]. If unsure, it must offer to book a call instead of guessing. 
   • ➡️ Next: Copy this into your chatbot’s "System Prompt" field.

3. Train for Sales & Pricing Ensure the agent can handle money questions and move leads toward a purchase.
   • Prompt ChatGPT: Here is my pricing: [Insert Pricing]. Create a dialogue where the agent explains the value prop when a customer asks for a discount.
   • ➡️ Next: Test the logic in preview mode to ensure it doesn't give unauthorized discounts.

4. Automate the Hand-off Connect your calendar so the AI books meetings while you sleep.
   • Prompt ChatGPT: Write a friendly chat response for when a customer asks to "speak to a human." Include a placeholder for my [Booking Link].
   • ➡️ Next: Set this as the automated response for "Human" or "Meeting" triggers.

5. Stress Test the Guardrails Run "curveball" questions to ensure the bot doesn't break under pressure.
   • Prompt ChatGPT: Give me 10 frustrated or confusing questions a customer might ask. I will use these to test my bot’s limitations. 
   • ➡️ Next: Run these live, then refine the instructions based on the hits or misses.

Pro Tip (Upgrade):
Use Synthflow AI to take your support beyond text. You can deploy human-sounding voice assistants that handle these same queries over the phone, automatically capturing lead info and booking appointments directly into your CRM while you stay offline.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

Most people will never sell a prompt

Not because they lack ideas.

Because they never package anything.

Prompt Empire Builder gives you:
300+ prompts to monetize
A framework to turn them into products
A system to track what’s working

No fluff.
No endless learning.

Just build it and put it in front of buyers.

👉️ Get Prompt Empire Builder

^{TODAY’S PROMPT}
Micro-SaaS Build Coach

This mega-prompt acts like a Senior Full-Stack Developer, turning your software idea into a lean technical roadmap you can actually build. It maps the MVP, user flow, stack, and launch plan so you can go from rough concept to a functional micro-product fast.

👉 Use the prompt + check out my example output here

Act as a Senior Full-Stack Developer and startup product architect.

Your job is to turn my micro-SaaS idea into a practical MVP build plan that is fast, lean, and commercially useful. Focus on what should be built first, how it should work, what the core logic is, and the simplest path to launch.

If anything is missing, make the most reasonable assumption and state it briefly before the plan.

### INPUTS

**Idea**
• Product name: [Product Name]
• One-line concept: [What the product does]
• Problem solved: [Pain point]
• Target user: [Who it serves]
• Niche: [Industry or market]
• Main outcome: [What result the user gets]

**Product Scope**
• Must-have features: [Essential features]
• Nice-to-have features: [Optional features]
• User inputs: [What users enter]
• Outputs: [What the app produces]
• Integrations: [Stripe, Slack, OpenAI, email, etc.]

**Technical Preferences**
• Frontend: [Preferred stack or no preference]
• Backend: [Preferred stack or no preference]
• Database: [Preferred database or no preference]
• Hosting: [Preferred host or no preference]
• Auth: [Login needs]
• AI features: [Yes/No + explain]
• Skill level: [Beginner, intermediate, advanced]

**Launch Constraints**
• Build timeline: [1 afternoon, weekend, 2 weeks, etc.]
• Budget: [Lean budget or amount]
• MVP goal: [What success looks like]

### OUTPUT

1. **Product Summary**
Explain what the product is, who it is for, and why it matters.

2. **Lean MVP Scope**
Define the smallest useful version worth building and what to leave out.

3. **Core Features**
List the essential features only. For each one, explain:
- what it does
- what the user sees
- what happens behind the scenes

4. **User Flow**
Map the step-by-step journey from signup to core result.

5. **Frontend Plan**
List the key screens or pages and what each one needs.

6. **Backend Plan**
Outline the APIs, database needs, auth, automations, and integrations.

7. **Core Logic**
Explain the main app logic in plain English, then give simple pseudocode for the most important workflow.

8. **Recommended Stack**
Recommend the best stack for this MVP and explain why it fits.

9. **Build Order**
Show the fastest step-by-step sequence to get to a working prototype.

10. **Monetization + Launch**
Explain the simplest pricing, payments, and launch setup for version one.

11. **Risks**
Identify the biggest product or technical risks.

12. **Version 2**
List the best upgrades to add after the MVP is live.

13. **Builder Brief**
End with a short one-page brief summarizing:
- what we are building
- who it is for
- MVP features
- stack
- launch goal

### QUALITY RULES

- Be specific and practical
- Optimize for speed and simplicity
- Do not overbuild
- Prioritize a real MVP over a perfect product
- Use the simplest proven tools where possible
- Write clearly enough for a solo founder to execute

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

Learn how to code faster with AI in 5 mins a day

You're spending 40 hours a week writing code that AI could do in 10.

While you're grinding through pull requests, 200k+ engineers at OpenAI, Google & Meta are using AI to ship faster.

How?

The Code newsletter teaches them exactly which AI tools to use and how to use them.

Here's what you get:

• AI coding techniques used by top engineers at top companies in just 5 mins a day

• Tools and workflows that cut your coding time in half

• Tech insights that keep you 6 months ahead

Sign up and get access to the Ultimate Claude code guide to ship 5X faster.

Join 200K+ engineers

^{AI SPOTLIGHT}
The Rise of the "Million-Dollar Solopreneur"

A major shift in the startup world just occurred as the platform "No Cap"—famed for being the world's first autonomous AI investor—was acquired to fuel a new army of AI-native solopreneurs. Moving beyond the traditional venture capital model, this deal integrates an AI "coach" trained on 100,000 founder data points to help individuals build $100k+ revenue streams without a single employee. Early graduates of the ecosystem are already hitting massive milestones: a high-school duo serving 100,000 users in the NYC housing market and a solo-built AI golf coach reaching a $100k run-rate in under 60 days.

The deeper thesis: We are entering the era of the "Million-Dollar Solopreneur," where AI doesn't just assist your business—it acts as your co-founder, investor, and growth team.

Key Takeaways:

• Audos.com is providing up to $100,000 in funding for AI-native businesses that prioritize revenue over "venture scale".

• The acquisition of No Cap brings an autonomous startup-scoring engine to a community of 9,000 solopreneurs to identify high-profit niches automatically.

• This shift signals that the most valuable AI "use cases" aren't inside enterprise HR departments, but in the hands of individuals replacing traditional agencies.

👉️ Read the full article here

^{AI QUICK HITS}

🚀 Nvidia has announced "Vera Rubin" modules for orbital data centers, aiming to put AI compute into space to bypass terrestrial power grid constraints and cooling issues.

📉 OpenAI is reportedly winding down Sora, its viral video generator, to pivot massive amounts of compute toward "Spud," a new model designed for robotics and world simulation.

🛡️ Palo Alto Networks launched Prisma AIRS 3.0, a security platform built specifically to monitor "non-human identities" as autonomous AI agents begin to dominate enterprise workflows.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—60% were wrong!

Did you vote in the poll from March 28th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

The Free Newsletter Fintech and Finance Execs Actually Read

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^{AI MARKET PULSE}
Anthropic’s Data Suggests the AI Skills Gap Is Already Starting to Widen

New reporting based on Anthropic usage data suggests AI is not broadly replacing workers yet, but it is giving a clear advantage to the people who know how to use it well. That matters because it shifts the conversation away from “AI will take all the jobs” and toward something more immediate: some workers are already becoming faster, more productive, and more valuable than their peers simply by learning how to work with these tools. In other words, the first real divide may not be job loss. It may be performance separation inside the same role. Translation: the people who become strong AI users early may start pulling away from everyone else faster than most companies are ready for.

So what does that mean for you?

The takeaway here is pretty practical: this is less about being technical and more about becoming fluent. In practical terms, that means:

• Treat AI skill-building like a job advantage, not a hobby
• Practice using AI on real tasks you already do every week
• Focus on becoming faster and better, not just more familiar

👉️ Read the article here

You don’t need another AI idea

You need something you can sell.

Prompt Empire Builder gives you:

• 300+ monetizable prompts

• A structure to turn them into products

• A system to track buyers and revenue

No theory. No fluff.

Just build something and get it live.

👉️ Get Prompt Empire Builder

^{WORKFLOW BUILDER}
The Hobby-to-Business Builder

Goal: Turn your hobby into a clear, profitable online business—and use AI to automate the heavy lifting so it can scale without consuming your time.

Steps:

1. Extract a Sellable Idea

   Turn your hobby into something people can actually pay for.
   • Prompt ChatGPT: Turn my hobby in [insert hobby] into 5 specific online business ideas. For each, include the target customer, problem solved, and how it makes money.
   • ➡️ Next: Pick one idea that feels simple, useful, and easy to explain.

2. Validate Demand

   Make sure people already want this before you build anything.
   • Prompt ChatGPT: For this idea: [insert idea], identify the target audience, where they hang out online, and what they are already paying for. Then list 10 specific pain points they have.
   • ➡️ Next: Confirm there is clear demand and people are already spending money.

3. Define the Offer

   Turn the idea into a clear, structured product or service.
   • Prompt ChatGPT: Turn this idea into a specific offer with: deliverables, format, pricing approach, and what makes it valuable.
   • ➡️ Next: Simplify the offer so it’s easy to understand and buy.

4. Build the System

   Create a repeatable way to deliver and sell the offer using AI.
   • Prompt ChatGPT: Design a step-by-step workflow to deliver and sell this offer. Include where AI can automate content, fulfillment, and customer communication.
   • ➡️ Next: Remove anything manual that doesn’t need to be.

5. Launch and Iterate

   Get the first version live and improve from real feedback.
   • Prompt ChatGPT: Create a simple launch plan with content ideas, a basic landing page outline, and a first-week execution plan to get initial customers.
   • ➡️ Next: Launch fast, then refine based on what actually works.

Pro Tip (Upgrade):
Use MindStudio to turn your workflow into automated AI agents instead of handling every step yourself. It helps you automate the repetitive work, create a smoother operating system, and scale the business without manually running the whole thing.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

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^{TODAY’S PROMPT}
Travel Money Coach

This mega-prompt acts like a personal travel money coach, turning your current booking habits, travel style, and budget into a smarter system for traveling farther without spending more. It audits how you book flights, hotels, and activities, then rebuilds your approach with better timing, tools, and strategies—so you can stretch the same budget into significantly more trips, better experiences, and fewer overpriced mistakes.

👉 Use the prompt + check out my example output here

You are my personal travel money coach. Your job is to audit how I currently book travel and then help me travel 2x as far for half the price—without sacrificing the experience.

Start by asking me a structured set of questions to understand my current behavior. Cover:

• How I typically book flights (timing, tools, flexibility, loyalty programs)
• How I choose accommodations (hotels, Airbnb, location vs price, booking platforms)
• How I plan activities (pre-book vs spontaneous, tours vs DIY, budget per day)
• My travel style (luxury, mid-range, budget, solo, family, etc.)
• My flexibility (dates, destinations, airports)
• My biggest frustrations or overspending habits when traveling

Once you have my answers, do three things:

1. Audit my current approach
   Break down exactly where I’m overpaying or missing leverage. Be specific and tactical.

2. Rebuild my travel system
   Design a smarter, repeatable strategy for flights, stays, and activities. Include:
   • Booking timing rules
   • Specific platforms/tools I should use
   • How to stack deals, points, or arbitrage opportunities
   • How to use flexibility to unlock cheaper options

3. **Create my “2x Travel Plan”**
   Show me how to take my current budget and stretch it to travel twice as much.
   Include:
   • A sample trip comparison (what I’d normally spend vs optimized version)
   • 3–5 concrete changes that produce the biggest savings
   • A simple checklist I can follow for every future trip

Keep everything practical, specific, and actionable. No generic travel tips. Treat this like you’re coaching me 1:1 and want immediate results.

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

AI Alone Can’t Run Revenue

Finance doesn’t run on “mostly right.” It runs on math.

In The Architecture Behind AI-Native Revenue Automation, Tabs’s CTO breaks down why LLMs alone aren’t enough—and what it actually takes to build audit-ready, AI-driven contract-to-cash systems for modern B2B teams.

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^{AI SPOTLIGHT}
Amazon’s Fauna Robotics Deal Signals a Bigger Push Into Consumer Humanoids

Amazon has acquired Fauna Robotics, a startup building a small humanoid robot aimed at homes and education, marking a notable expansion beyond the company’s familiar warehouse automation efforts. The move matters because it suggests Amazon is not just interested in robotics for logistics efficiency, but also in owning a foothold in the next wave of everyday consumer machines. That puts it closer to the center of a market many people still treat as speculative, even as Big Tech keeps laying groundwork for AI-powered physical products. If Amazon can combine its AI capabilities, hardware reach, and distribution power, it could accelerate the shift from industrial robotics to robots designed for normal daily environments. The deeper thesis: the race in AI is starting to move off the screen and into the physical world.

Key Takeaways:

• Amazon acquired Fauna Robotics, a humanoid robot startup focused on home and education use cases
• The deal suggests Amazon wants to expand its robotics strategy beyond warehouses and into consumer environments
• Big Tech is increasingly positioning for a future where AI is embedded not just in software, but in physical devices people live and work with

👉️ Read the full article here

^{AI QUICK HITS}

🤖 Two major outgoing CEOs — Coca-Cola’s James Quincey and Walmart’s Doug McMillon — have now said AI was part of why they stepped aside, which tells you this shift is starting to affect not just strategy decks, but succession plans too.

📱 Apple is reportedly preparing to let Siri route requests to outside AI models like Gemini and Claude, a sign it may be loosening its grip on the assistant layer to stay competitive in the AI race.

⚙️ Alibaba just unveiled a new 5-nanometer chip built for agentic AI, showing the global fight over AI infrastructure is still heating up well beyond the U.S.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—53% were wrong!

Did you vote in the poll from March 27th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

The Gold Standard for AI News

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^{AI MARKET PULSE}
Washington Is Quietly Debating an AI Job-Loss Safety Net Before the Shock Hits

A growing group of economists, investors, and former policymakers is pushing Washington to build an AI-era safety net before labor disruption turns into a full-blown crisis. Axios reports that BlackRock CEO Larry Fink warned this week that AI could widen wealth inequality, while former Commerce Secretary Gina Raimondo argued for a new public-private bargain built around training, job pathways, and stronger worker supports. One proposal would tie corporate taxes to how much output companies generate with shrinking headcount, while a separate “circuit breaker” framework would trigger wage insurance and expanded income support if labor-market stress spikes. The deeper thesis: the AI debate is moving beyond productivity gains and into a harder question—who captures the upside if employment takes the hit first?

So what does that mean for you?

The takeaway here is not to panic. It is to pay attention to where this conversation is going. If policymakers, investors, and major executives are already gaming out labor displacement scenarios, workers and business owners should be doing the same. In practical terms, that means:

• Build skills that make you more useful alongside AI, not easiest to replace
• Watch for industries where headcount may shrink even as output rises
• Treat adaptability and portability as career advantages now, not later

👉️ Read the article here

What if you could build a 5,000-page website without writing a single word?

A fitness website needed a page for every exercise in existence — squats, deadlifts, lunges, thousands more. They defined the exact structure each page should follow: specific fields, specific options, even generated images.

The AI produced every exercise page to that exact structure — not a block of text, but fully structured content matching the defined format for every exercise. At scale, with no duplicates.

👉️ Try for free, no credit card needed.

^{WORKFLOW BUILDER}
The Proposal Builder

Goal: Turn a messy client inquiry into a clean, professional proposal you can send the same day—and actually close.

Steps:

1. Extract the Client Brief
   Take the raw inquiry and turn it into a clear summary of what the client actually wants.
   • Prompt ChatGPT: Summarize this client inquiry into: goals, deliverables, timeline, budget signals, and key constraints. Highlight anything unclear or missing. [Paste client message]
   • ➡️ Next: Review and fix any gaps before moving forward.

2. Define the Scope of Work
   Translate the summary into a structured scope with clear deliverables and boundaries.
   • Prompt ChatGPT: Turn this summary into a scope of work with: deliverables, what's included, what's not included, and key assumptions to prevent scope creep. [Paste summary]
   • ➡️ Next: Adjust anything that feels too vague or too broad.

3. Structure the Offer
   Package the work into a clean, easy-to-understand engagement.
   • Prompt ChatGPT: Organize this scope into a proposal structure with phases, timeline, and deliverables for each stage. Keep it simple and client-friendly. [Paste scope]
   • ➡️ Next: Make sure the flow feels logical and easy to follow.

4. Generate Pricing Options
   Create pricing that aligns with outcomes, not just effort.
   • Prompt ChatGPT: Create 3 pricing tiers (basic, standard, premium) for this proposal. Tie each tier to scope and outcomes, and recommend one option. [Paste structured offer]
   • ➡️ Next: Sanity check pricing based on your market and confidence.

5. Write the Final Proposal
   Turn everything into a polished, send-ready document.
   • Prompt ChatGPT: Write a client-ready proposal including: intro, problem, solution, scope, timeline, pricing, and a clear CTA to move forward. Keep it concise and professional. [Paste full context]
   • ➡️ Next: Copy into Notion/Google Docs and send within 30 minutes.

Pro Tip (Upgrade):
Use Unbounce to drop your proposal into a clean, branded client page instead of a plain doc. It makes the offer feel more premium, gives the client a smoother review experience, and helps you present pricing and next steps more clearly.

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^{TODAY’S PROMPT}
The Offer Architect

This mega-prompt acts like a business strategist and offer designer, turning your rough skill, service, or product idea into a clear, sellable offer. It builds your positioning, offer stack, pricing logic, and objection handling, then packages everything into a simple landing page outline so you can go from idea to something you can actually sell—fast, without overthinking it.

👉 Use the prompt + check out my example output here

You are an expert business strategist and offer designer. Your job is to take a rough skill, service idea, or product concept and turn it into a clear, compelling, and sellable offer.

Start by asking me clarifying questions if needed. Then build a complete offer system using the structure below.

First, define the **Core Offer Positioning**:
• Who this is for (specific audience, not broad)
• The painful problem being solved
• The desired outcome or transformation
• Why this solution is different or better than alternatives

Next, design the **Offer Stack**:
• The main deliverable (what they actually get)
• 3–5 supporting components that increase perceived value
• Format (done-for-you, done-with-you, digital product, hybrid, etc.)
• Timeline or delivery structure

Then create the **Pricing Logic**:
• Recommended price point
• Why this price makes sense based on outcome/value
• Optional tiering (good/better/best if applicable)

Now identify **Objections and Friction Points**:
• List the top 5 reasons someone would hesitate to buy
• Provide a clear counter or reassurance for each

Then outline a **Simple Landing Page**:
• Headline (clear outcome-driven promise)
• Subheadline (who it’s for + why it matters)
• Key benefits (3–5 bullets)
• Offer breakdown
• Social proof ideas (even if hypothetical)
• Call-to-action

Finally, suggest **Ways to Strengthen the Offer**:
• Add-ons, guarantees, urgency, or positioning tweaks that would make this easier to sell

Keep everything clear, specific, and practical. Avoid fluff. Make the offer feel immediately usable and ready to test.

Ask me for my idea, skill, or product concept to begin.

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^{AI SPOTLIGHT}
Arm Is Making a Bigger Bet Than Just Another AI Chip

Arm just introduced its first in-house AI data center chip, the AGI CPU, marking a major shift for a company that has historically made money by licensing designs rather than building its own hardware. The chip is aimed at the fast-growing agentic AI market, where systems are expected to act with minimal human oversight instead of simply answering prompts. Meta is the lead partner on the design, TSMC is manufacturing it on a 3-nanometer process, and Arm says the product could generate roughly $15 billion in annual revenue within five years. That is a huge jump for a business Wall Street expects to do about $4.9 billion in revenue this fiscal year. The deeper thesis: Arm is no longer content to sit in the background of the AI boom. It wants to move closer to the center of the stack and capture a much bigger share of the upside.

Key Takeaways:

•Arm’s AGI CPU is its first major move from IP licensing into selling its own AI chip
•The company is targeting agentic AI, one of the clearest next demand waves in data center compute
•If Arm can ship on schedule, this could reshape its role from supplier to direct AI infrastructure player

👉️ Read the full article here

^{AI QUICK HITS}

📽 OpenAI has reportedly shelved Sora, its AI video tool, in a move that startled Disney and signals the company may be narrowing its focus as the race to scale profitable AI products gets more intense.

🧑‍💻 Anthropic is giving Claude Code more autonomy while still keeping guardrails in place, underscoring where the market is heading next: coding tools that act more like junior operators than simple assistants.

🏭 Bernie Sanders and Alexandria Ocasio-Cortez have introduced a bill to pause new data center construction, bringing the energy, labor, and infrastructure backlash to the center of the AI buildout story.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—52% were right!

Did you vote in the poll from March 25th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

Learn AI in 5 minutes a day

What’s the secret to staying ahead of the curve in the world of AI? Information. Luckily, you can join 2,000,000+ early adopters reading The Rundown AI — the free newsletter that makes you smarter on AI with just a 5-minute read per day.

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^{AI MARKET PULSE}
Goldman Sachs Says 300 Million Jobs Globally Are Exposed to AI Automation

Goldman Sachs Research estimates that 300 million jobs globally are exposed to automation by AI, while also arguing the technology will create new kinds of work over time. In the U.S., Goldman says the labor market has already slowed after weaker hiring in the second half of 2025, driven in part by tariff uncertainty and a sharp drop in immigration. Its forecast now sees unemployment inching up to 4.5% this year from 4.3% in January. Goldman’s Jan Hatzius and David Mericle also expect stronger GDP growth in the first half of 2026, but economist Joseph Briggs says the “big story” for labor this year will be AI, especially for entry-level workers in knowledge and content roles. The deeper thesis: AI may not break the labor market all at once, but it is increasingly positioned to hit the bottom rung of white-collar work first.

So what does that mean for you?

The message here is not panic. It is positioning. If entry-level knowledge work gets squeezed first, the advantage will likely go to people who can use AI well, think independently, and solve problems beyond routine execution. In practical terms, that means:

• Build AI fluency before your role forces it
• Focus on judgment, communication, and decision-making skills
• Do not assume entry-level white-collar work is the safest path anymore

👉️ Read the article here

1,000+ Proven ChatGPT Prompts That Help You Work 10X Faster

ChatGPT is insanely powerful.

But most people waste 90% of its potential by using it like Google.

These 1,000+ proven ChatGPT prompts fix that and help you work 10X faster.

Sign up for Superhuman AI and get:

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^{WORKFLOW BUILDER}
The Done-for-You Shorts Pack Builder

Goal: Create a productized offer that lets you sell ready-made faceless Shorts packs to agencies in one niche, with captions, branding placeholders, and editable files included.

Steps:

1. Pick One Agency Niche

   Choose one niche first so the pack feels specific and easy to sell.

   Prompt ChatGPT: Act as a product strategist. Compare these niches for a done-for-you Shorts pack: [coaches], [SaaS], [fitness], [real estate]. For each, list demand level, easiest content angles, and best buyer. Then recommend the best niche to start with.

   ➡️ Next: Pick one niche and write a one-line offer.

2. Map the Pack Contents

   Turn the idea into a clear deliverable agencies can understand fast.

   Prompt ChatGPT: Create a product structure for a done-for-you Shorts pack for [chosen niche]. Include what comes in the pack, ideal number of videos, caption files, branding placeholders, raw assets, and 3 package tiers.

   ➡️ Next: Finalize what goes inside your first pack.

3. Generate 15 Video Concepts

   Build a repeatable list of Shorts ideas agencies can use right away.

   Prompt ChatGPT: Act as a short-form content strategist. Generate 15 faceless Shorts ideas for [chosen niche]. For each, include a hook, main point, and CTA. Keep them specific, simple, and easy to brand for different clients.

   ➡️ Next: Choose your best 10 to 15 ideas.

4. Create the Client-Ready Assets

   Package the content so agencies can edit and resell it easily.

   Prompt ChatGPT: For these 15 Shorts ideas, write on-screen text, captions, suggested visuals, and placeholder branding notes. Format everything so it can be handed off to an agency as a ready-made content pack.

   ➡️ Next: Export the files into one clean delivery folder.

5. Write the Sales Page Copy

   Position the pack as a fast, easy win for busy agencies.

   Prompt ChatGPT: Write sales copy for a done-for-you Shorts pack for [chosen niche]. Include a headline, who it is for, what is included, 3 benefits, and a simple CTA. Keep it sharp, practical, and easy for agencies to understand.

   ➡️ Next: Post the offer on your site or send it to agency leads.

Pro Tip (Upgrade):
Use Choppity to speed up the editing workflow and turn raw clips into reusable Shorts templates faster, especially if you want to create multiple packs across different niches. It fits the Bagel Bots partner tool list under AI video and media.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

Turn AI Into Your Income Stream

The AI economy is booming, and smart entrepreneurs are already profiting. Subscribe to Mindstream and get instant access to 200+ proven strategies to monetize AI tools like ChatGPT, Midjourney, and more. From content creation to automation services, discover actionable ways to build your AI-powered income. No coding required, just practical strategies that work.

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^{TODAY’S PROMPT}
Turns One Story Into 5 LinkedIn Posts

This mega-prompt acts like a LinkedIn content strategist and ghostwriter, turning your professional anecdotes, lessons, and audience goals into five distinct posts. It builds one long-form post and four short-form posts with clear hooks, strong structure, and engagement-driving questions so you can publish faster without sounding generic.

👉 Use the prompt + check out my example output here

Act as an expert LinkedIn content strategist, ghostwriter, and audience growth editor for professionals who want their posts to sound credible, specific, and human.

Your job is to create 5 distinct LinkedIn posts based on the user's real professional anecdotes, observations, and lessons:
• 1 long-form LinkedIn post
• 4 short-form LinkedIn posts

Each post should feel like it came from lived experience, not content marketing. The writing should be clear, sharp, natural, and conversational. Avoid corporate jargon, vague inspiration, and generic advice. Every post must end with a specific question designed to spark comments and discussion.

Use the inputs below.

BUSINESS / PROFESSIONAL CONTEXT
• Industry: [industry]
• Role / title: [role or title]
• Years of experience: [years of experience]
• Type of audience: [target audience]
• Primary professional focus: [primary focus]
• Personal brand style: [plainspoken / analytical / warm / witty / authoritative / etc.]

CORE TOPIC
• Main topic I want these posts to explore: [main topic]
• Main point I want readers to understand: [core message]
• Why this topic matters right now: [why now]

ANECDOTES / SOURCE MATERIAL
• Anecdote 1: [specific story, situation, or moment]
• Anecdote 2: [specific story, situation, or moment]
• Anecdote 3: [specific story, situation, or moment]
• Anecdote 4: [specific story, situation, or moment]
• Anecdote 5: [specific story, situation, or moment]
• Additional details, examples, or observations: [extra details]

CONTENT GOALS
• What I want these posts to do: [build authority / spark discussion / attract clients / grow audience / show personality / etc.]
• Desired tone: [tone]
• Topics to avoid: [topics to avoid]
• Words or phrases to avoid: [phrases to avoid]
• Call-to-action style: [subtle / direct / discussion-first]

POST PREFERENCES
• Ideal long-form post length: [word count or range]
• Ideal short-form post length: [word count or range]
• Formatting preferences: [short paragraphs / punchy one-liners / bullets / minimal formatting]
• Should posts sound more personal or more professional?: [preference]
• Should the questions at the end be broad or highly specific?: [preference]

Create the output in the exact structure below:

1. Long-Form LinkedIn Post
   • Write 1 long-form LinkedIn post with:
     - A strong opening hook
     - A clear narrative or argument
     - At least one specific anecdote woven in naturally
     - A takeaway or insight that feels earned
     - A closing question designed to drive thoughtful comments
   • After the post, include:
     - Why this post works: [2-3 sentences]
     - Best audience fit: [who this post will resonate with]

2. Short-Form LinkedIn Post #1
   • Write 1 short-form LinkedIn post based on one anecdote or lesson
   • Keep it concise, punchy, and discussion-friendly
   • End with a clear question
   • After the post, include:
     - Angle: [what makes this one distinct]

3. Short-Form LinkedIn Post #2
   • Write a second short-form LinkedIn post using a different angle, anecdote, or takeaway
   • It should feel meaningfully different from Post #1
   • End with a clear question
   • After the post, include:
     - Angle: [what makes this one distinct]

4. Short-Form LinkedIn Post #3
   • Write a third short-form LinkedIn post with a different structure or emotional tone
   • End with a clear question
   • After the post, include:
     - Angle: [what makes this one distinct]

5. Short-Form LinkedIn Post #4
   • Write a fourth short-form LinkedIn post that explores another useful perspective, anecdote, or lesson
   • End with a clear question
   • After the post, include:
     - Angle: [what makes this one distinct]

6. Final Quality Check
   • Confirm that all 5 posts:
     - Sound specific, human, and experience-based
     - Do not repeat the same hook, structure, or lesson
     - End with a question that is easy to answer but interesting enough to invite discussion
     - Match the stated tone and audience
   • Then provide:
     - Best post to publish first: [post name]
     - Why: [brief explanation]

Important instructions:
• Do not invent fake achievements, fake metrics, or fake client stories
• If the anecdotes are thin, make them clearer and more engaging without changing the underlying truth
• Prioritize specificity over polish
• Make each post feel native to LinkedIn
• Do not use emojis unless the user explicitly asks for them
• Do not make the ending questions generic, broad, or lazy
• Keep every question tightly connected to the story or insight in that specific post
• If anything is missing, make the most reasonable assumption and state it briefly before the plan

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^{AI SPOTLIGHT}
McDonald’s Is Testing Humanoid Robots at a Restaurant in Shanghai

A McDonald’s restaurant in Shanghai is reportedly trialing humanoid robots from Keenon Robotics to greet customers and help handle service at the counter. In the video circulating online, the robots appear to interact with customers, use a touchscreen at the front, and move through the restaurant while smaller animal-like robots entertain kids nearby. McDonald’s has not publicly commented on the clip, but Keenon confirmed its robots were deployed at the location. The moment matters because it pushes service automation out of the warehouse and into one of the most visible consumer environments in the world: fast food. The deeper thesis: the next phase of AI and robotics will not just automate back-end operations—it will increasingly show up in customer-facing jobs that used to feel safely human.

Key Takeaways:

• McDonald’s is testing humanoid service robots from Keenon Robotics at a restaurant in Shanghai
• The deployment signals that robotics is moving beyond industrial settings and into everyday consumer experiences
• As the technology improves, more chains may experiment with front-of-house automation in roles like greeting, ordering, and simple service tasks

👉️ Read the full article here

^{AI QUICK HITS}

⚙️ Anthropic just gave Claude a much bigger leash with Claude Code and Cowork, rolling out agent-style computer control so it can open files, use apps and browsers, and work across dev tools with far less setup.

🌏 A U.S. advisory body is warning that Chinese companies like Alibaba, Moonshot, MiniMax, DeepSeek, and Qwen are building a self-reinforcing lead in open-source AI, raising the stakes in the global fight over who shapes the next layer of the model stack.

🛒 OpenAI is backing away from turning ChatGPT into an Amazon-style shopping portal after its Instant Checkout feature flopped, shifting focus instead toward product discovery and merchant-run checkout experiences.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—81% were right!

Did you vote in the poll from March 23rd? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

Are you tracking agent views on your docs?

AI agents already outnumber human visitors to your docs — now you can track them.

See your AI traffic!

^{AI MARKET PULSE}
FedEx Is Treating AI Literacy Like a Promotion Skill, Not Just a Tech Skill

FedEx has launched a company-wide AI literacy initiative for more than 400,000 employees, signaling how seriously large employers are beginning to treat AI readiness as a workforce priority. Built with Accenture, the program delivers role-specific training that updates monthly and is designed to help workers become more efficient, more innovative, and better prepared for advancement. Executives reportedly backed the effort in a visible way, with the C-suite participating directly in the early planning process, while the company now tracks progress with an internal AI quotient metric. Early signs suggest the training is already influencing employee ambition, with more frontline workers applying for corporate roles. The deeper thesis: AI fluency is starting to become a career mobility skill inside major companies, not just a technical capability for specialists.

So what does that mean for you?

The message is simple: learning AI may increasingly help workers stand out, move up, and stay relevant inside changing organizations. In practical terms, that means:

• Treat AI literacy as a career skill, not a side interest
• Look for ways to apply AI tools directly to your current role
• Build adaptability before companies force the transition

The signal is clear. AI training is becoming part of how large employers develop talent—and promotion readiness may increasingly depend on who learns fastest

👉️ Read the article here

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^{WORKFLOW BUILDER}
The SEO Content Engine

Goal: Turn a single niche keyword into a fully optimized, high-ranking blog post that drives organic traffic to your products or newsletter.

Steps:

1. Research the "Search Intent"

   Identify exactly what your audience is looking for to ensure your content actually ranks.

   • Prompt ChatGPT: Act as an SEO expert. Analyze the keyword "[Niche Keyword]" and list the top 5 questions people ask about it, along with the primary goal of the searcher.

   • ➡️ Next: Choose the most relevant question to serve as your main headline.

2. Build a "Semantic" Outline

   Create a structure that covers all the sub-topics Google expects to see for this keyword.

   • Prompt ChatGPT: Write a comprehensive blog post outline for "[Main Headline]" that includes an H1, three H2 subheaders, and bullet points for what to cover in each section.

   • ➡️ Next: Review the outline in Notion to ensure it flows logically.

3. Generate the Optimized Draft

   Draft the full post while naturally weaving in your target and secondary keywords.

   • Prompt ChatGPT: Write a 1,000-word blog post based on this outline. Use a professional yet conversational tone, keep paragraphs under 3 sentences, and naturally include the keywords: [List Keywords].

   • ➡️ Next: Scan the text for any "AI-isms" and add your own personal brand voice.

4. Craft Meta Data & Excerpts

   Write the behind-the-scenes text that gets people to click from the search results page.

   • Prompt ChatGPT: Write a compelling Meta Description under 155 characters and a 2-sentence "Hook" excerpt that encourages readers to click "Read More" on my homepage.

   • ➡️ Next: Copy these into your website's SEO plugin settings.

5. Repurpose for Social Reach

   Turn your long-form blog post into a "teaser" thread to drive immediate traffic.

   • Prompt ChatGPT: Write a 5-tweet thread that summarizes the 3 biggest takeaways from this blog post and ends with a link to read the full article on my site.

   • ➡️ Next: Schedule the thread to go live 1 hour after the blog post is published.

Pro Tip (Upgrade):
Use Browse AI to automatically scrape the headlines and "People Also Ask" sections from the top 10 Google results for your keyword. This gives you the raw data to ensure your AI-generated outline covers more ground than any other article on the web.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

200+ AI Side Hustles to Start Right Now

While you were debating if AI would take your job, other people started using it to print money. Seriously.

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^{TODAY’S PROMPT}
Build a Premium Resource Guide for Any Niche With One Prompt

This mega-prompt acts like a niche research strategist and curated resource guide creator, turning your topic, audience, and product goals into a premium directory of the most useful tools and resources in that space. It builds a structured, ready-to-package guide that helps readers find the best options faster, avoid low-value noise, and get immediate value from a curated list that feels polished enough to use as a lead magnet, bonus, or paid PDF.

👉 Use the prompt + check out my example output here

NICHE TOOLKIT / RESOURCE DIRECTORY 
Act as an expert niche researcher, resource curator, digital product strategist, and information organizer.

Your job is to create a high-value resource directory featuring 25 essential tools, platforms, websites, apps, services, or learning resources for a specific niche. The guide should be organized like a premium PDF resource that saves readers time, helps them find the best options fast, and feels polished enough to use as a lead magnet or paid digital product.

Use the inputs below to build the directory. If anything is missing, make the most reasonable assumption and state it briefly before the guide.

NICHE & AUDIENCE
• Niche/topic: [insert]
• Target audience: [beginners / professionals / creators / founders / freelancers / students / agencies / hobbyists / other]
• Audience experience level: [beginner / intermediate / advanced / mixed]
• Main goal of the audience: [save time / make money / learn faster / improve performance / build skills / solve a problem / other]
• Main pain points: [insert]

RESOURCE FOCUS
• Types of resources to include: [software / AI tools / websites / communities / templates / courses / newsletters / marketplaces / books / mixed]
• Preferred number of categories: [insert or choose for me]
• Need beginner-friendly picks: [yes / no]
• Need advanced/pro picks: [yes / no]
• Need free vs paid labels: [yes / no]
• Need “best for” use cases: [yes / no]
• Need affiliate-friendly structure: [yes / no]

POSITIONING & FORMAT
• Title of the guide: [insert or create one for me]
• Subtitle or promise: [insert or create one for me]
• Tone: [professional / premium / direct / beginner-friendly / smart / minimalist]
• Detail level per resource: [short / moderate / detailed]
• Need intro section: [yes / no]
• Need conclusion or action plan: [yes / no]
• Need quick-start recommendations: [yes / no]

PRODUCT STYLE
• Intended use: [lead magnet / paid guide / newsletter bonus / internal resource / content upgrade / other]
• Brand style notes: [insert]
• Want highlighted picks: [yes / no]
• Want sections like Best Overall / Best Budget / Best for Beginners: [yes / no]
• Want a bonus section: [yes / no + describe]

OUTPUT
Create the final answer in these sections:

1. Guide Title  
Create a strong, benefit-driven title.

2. Subtitle  
Write a short subtitle explaining what the guide helps the reader do.

3. Intro  
Explain who the guide is for, what problem it solves, and how to use it.

4. Quick-Start Picks  
If requested, highlight the best starting resources.

5. Categorized Resource Directory  
Organize exactly 25 resources into clear categories.

For each resource, include:
• Resource name
• Category
• What it is
• Why it’s useful
• Best for
• Free / paid / freemium if requested
• Setup difficulty if requested
• Limitation or caution if requested

6. Bonus Section  
If requested, include a section like recommended stack, beginner path, pro path, or buying advice.

7. Final Action Steps  
Show the reader how to use the directory immediately.

Make the final guide highly organized, easy to skim, and specific enough to feel premium. Avoid generic filler, weak recommendations, and repetitive descriptions. Prioritize usefulness, clear categorization, and a PDF-ready result that feels curated and worth saving.

⚡️ Want to Build and Sell Prompts Like This?
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^{AI SPOTLIGHT}
Elon Musk Is Hinting at Building His Own AI Chip Supply Chain

Elon Musk has outlined plans for a chip manufacturing collaboration between Tesla and SpaceX, arguing that existing semiconductor suppliers are not moving fast enough to meet the computing demands of his companies’ AI and robotics ambitions. Speaking at an event in Austin, Musk described a proposed “Terafab” facility near Tesla’s headquarters that would manufacture chips at a scale meant to support enormous computing power on Earth and eventually in space. The idea reflects a broader push toward vertically controlling more of the AI stack, from infrastructure to compute. But the announcement comes with an important caveat: Musk has no background in chip manufacturing and has a long track record of making aggressive promises without clear timelines. The deeper thesis: as AI competition intensifies, major tech players may increasingly try to build their own compute infrastructure rather than rely on existing supply chains.

Key Takeaways:

• Elon Musk wants Tesla and SpaceX to collaborate on manufacturing chips for AI and robotics needs
• The proposed “Terafab” reflects a push toward greater control over critical compute infrastructure
• The plan signals how strategically important chip supply has become in the race to scale AI

👉️ Read the full article here

^{AI QUICK HITS}

📕 A former Meta senior director alleges in a new lawsuit that the company’s 2025 layoffs disproportionately targeted older employees, claiming workers over 40—and especially over 50—were let go at significantly higher rates after Meta introduced a special low-performer rating category ahead of the cuts.

🛰️ Blue Origin is seeking approval for a massive satellite network that would function like a space-based data center, betting that orbit could eventually become a new home for AI compute even though the economics, engineering, and environmental risks are still highly uncertain.

⚡️ OpenAI is reportedly preparing to roll out ads to all ChatGPT Free and Go users in the U.S., signaling a bigger push to monetize its consumer product as the cost of running AI at scale keeps climbing.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—53% were right!

Did you vote in the poll from March 21st? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

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^{AI MARKET PULSE}
AI “Consultants” Are Starting to Copy One of the Most Expensive White-Collar Jobs

A new article highlights how developers are building AI agents designed to mimic the workflow of strategy consultants, including McKinsey-style problem solving, structured analysis, and slide creation. Platforms like Vercel now host reusable “skills” that let AI systems perform consultant-like tasks, while enterprise tools like PromptQL are already generating revenue by helping companies build internal AI analysts. But the article also points to an important limitation: former consultants argue these systems still miss the deeper value of real consulting, especially the questioning, judgment, and company-specific context that shape high-level advice. The deeper thesis: AI is beginning to replicate the visible outputs of consulting, but the hardest part of the job is still the human layer behind the slides.

So what does that mean for you?

The message is simple: AI may make analysis and presentation work more accessible, but human judgment and contextual thinking still matter. In practical terms, that means:

• Use AI to speed up structured analysis and research
• Build judgment, questioning, and decision-making skills
• Focus on context, not just polished outputs

The signal is clear. AI is starting to imitate elite knowledge work—but imitation is not the same as real strategic thinking.

👉️ Read the article here

Unlock ChatGPT’s Full Power at Work

ChatGPT is transforming productivity, but most teams miss its true potential. Subscribe to Mindstream for free and access 5 expert-built resources packed with prompts, workflows, and practical strategies for 2025.

Whether you're crafting content, managing projects, or automating work, this kit helps you save time and get better results every week.

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^{WORKFLOW BUILDER}
The 5-Day Email Mini-Course

Goal: Turn your expertise into an automated "Know, Like, Trust" machine that educates your audience and pitches your paid offer on autopilot

Steps:

1. Define the Curriculum

   Identify the 5 core sub-topics that solve a "quick win" problem for your audience.

   • Prompt ChatGPT: Create a 5-day syllabus for a free email mini-course about [Topic] that leads perfectly into my paid offer, [Product Name]. Focus on one specific "aha" moment per day.

   • ➡️ Next: Finalize the 5 lesson titles in a Notion doc.

2. Script the Daily Lessons

   Draft short, high-value emails that focus on one actionable step per day.

   • Prompt ChatGPT: Write a 300-word email for Day [X] of the mini-course that teaches [Lesson Topic], shares a relatable story, and ends with a "Homework" task for the reader.

   • ➡️ Next: Repeat for all 5 days and paste them into your newsletter platform.

3. Engineer the "Soft Sell"

   Weave your paid product into the education so the pitch feels earned.

   • Prompt ChatGPT: For each of the 5 emails, write a 2-sentence "P.S." section that connects today’s lesson to a specific feature or result found in [Paid Product].

   • ➡️ Next: Add these P.S. lines to the bottom of every email in the sequence.

4. Optimize the "Open" Hooks

   Write compelling subject lines that ensure your students actually show up for Day 2, 3, 4, and 5.

   • Prompt ChatGPT: Write 5 subject lines for an email sequence, using the format "Day [X]/5: [Intriguing Benefit or Question]" to keep the momentum high.

   • ➡️ Next: Set these as the subject lines for your automated sequence.

5. Build the Final Pitch

   Create the "Day 6" transition email that focuses entirely on the invitation to work with you.

   • Prompt ChatGPT: Write a final "graduation" email that summarizes the 5-day journey, addresses the #1 objection to buying [Product Name], and offers a limited-time bonus for signing up today.

   • ➡️ Next: Schedule this as the final automated trigger in your email funnel.

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_{500mg Mitopure® have been shown to (1) induce gene expression related to mitochondria function and metabolism and (2) increase the strength of the hamstring leg muscle in measures of knee extension and flexion after 4 months in overweight 40-65 year olds.}

^{TODAY’S PROMPT}
Create a Weekly Productivity Plan You Can Actually Follow

This mega-prompt acts like a productivity strategist and time-blocking coach, turning your priorities, schedule constraints, energy patterns, and personal goals into a complete weekly system you can actually follow. It builds a practical plan for structuring your work, protecting your health habits, making progress on personal priorities, and creating a more balanced week so you can stay focused, reduce overwhelm, and use your time with more intention.

👉 Use the prompt + check out my example output here

WEEKLY PRODUCTIVITY SYSTEM — SHORT VERSION

Act as an expert productivity strategist, time-blocking coach, and personal operating system designer.

Your job is to design a practical weekly schedule that helps me balance work, health, and personal goals using time-blocking. The system should help me prioritize what matters, protect focus time, stay consistent with healthy habits, and create a weekly rhythm that is productive, realistic, and sustainable.

Use the inputs below to build the system. If anything is missing, make the most reasonable assumption and state it briefly before the plan.

CORE PRIORITIES
• Main work priority: [insert]
• Main health goal: [insert]
• Main personal goal: [insert]
• Other important priorities: [insert]
• What a successful week would feel like: [insert]

SCHEDULE CONSTRAINTS
• Typical wake time: [insert]
• Typical bedtime: [insert]
• Work hours or availability: [insert]
• Fixed appointments or commitments: [insert]
• Family or caregiving responsibilities: [insert]
• Commute time: [insert]
• Most demanding days: [insert]
• Most flexible days: [insert]

WORK & RESPONSIBILITIES
• Job or business type: [insert]
• Key weekly responsibilities: [insert]
• Meetings per week: [insert]
• Deep work required: [yes / no + describe]
• Admin tasks required: [insert]
• Need buffer time for reactive work: [yes / no]
• Need email or communication blocks: [yes / no]

HEALTH & ENERGY
• Exercise goal: [insert]
• Preferred workout days/times: [insert]
• Recovery needs: [insert]
• Meal prep or food planning needs: [insert]
• Sleep priority: [low / medium / high]
• Energy pattern: [morning peak / afternoon peak / evening peak / mixed]
• Burnout risks or current stressors: [insert]

PERSONAL LIFE
• Personal projects: [insert]
• Learning goals: [insert]
• Relationship or social priorities: [insert]
• Reflection / journaling / spiritual habits: [insert]
• Household tasks to include: [insert]
• Fun or leisure priorities: [insert]

PLANNING STYLE
• Planning style: [strict / structured but flexible / very flexible]
• Preferred schedule format: [hourly / time blocks / morning-afternoon-evening]
• Detail level: [high-level / moderate / detailed]
• Want themed days: [yes / no]
• Want batching of similar tasks: [yes / no]
• Want a shutdown routine: [yes / no]
• Want a weekly review block: [yes / no]
• Want a Sunday reset or planning session: [yes / no]

OUTPUT
Create the final answer in these sections:

1. Weekly Strategy Summary  
Explain what the week is optimized for, how the structure works, and why it fits my life.

2. Non-Negotiables  
List the most important weekly anchors that should be protected first.

3. Time-Blocked Weekly Schedule  
Create a Monday–Sunday schedule with clear blocks for work, health, personal life, and recovery.

4. Daily Rhythm  
Define the ideal morning, workday, workout, shutdown, and evening flow.

5. Task Batching  
Explain what should be grouped together, what belongs in peak focus hours, and what should happen in low-energy windows.

6. Adjustment Plan  
Show what to do when the week gets disrupted, including what to move, keep, or drop.

7. Weekly Review  
Create a simple reset system to review the week and plan the next one.

8. Final Recommendation  
Highlight the biggest improvement to make first, the highest-leverage block, and the simplest version to implement now.

Make the final system practical, balanced, and easy to follow. Avoid unrealistic schedules, over-planning, and generic productivity advice. Prioritize clarity, sustainability, and a week I can actually live.

⚡️ Want to Build and Sell Prompts Like This?
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^{AI SPOTLIGHT}
Cloudflare’s CEO Just Sent Another Signal About the Internet’s AI Agent Future

Cloudflare CEO Matthew Prince says AI bot traffic could surpass human traffic on the internet by 2027, reflecting how quickly generative AI agents are changing the scale of web activity. Speaking at SXSW, Prince argued that AI systems do far more browsing than humans because they visit vastly larger numbers of websites to complete tasks on a user’s behalf. That shift, he says, will place growing strain on servers, data centers, and the broader internet infrastructure needed to keep sites online and responsive. It also creates demand for new systems, including temporary execution environments that can support large numbers of AI agents operating simultaneously. Because Cloudflare sits close to the core plumbing of the web, its perspective carries broader significance. The deeper thesis: AI agents are not just changing software—they may soon reshape the traffic patterns and infrastructure demands of the internet itself.

Key Takeaways:

• Cloudflare’s CEO believes AI bot traffic could exceed human web traffic by 2027
• AI agents may dramatically increase infrastructure demands by visiting far more sites than humans
• The broader internet may need new systems and safeguards to support large-scale agent activity

👉️ Read the full article here

^{AI QUICK HITS}

🔍️ Google is quietly testing AI-written headline replacements in Search, raising concerns that it could misrepresent publishers’ stories and give Google even more control over how news is presented online.

🧑‍⚖️ The Trump administration has proposed a national AI policy framework that would set federal rules for safety, infrastructure, and other key issues while blocking states from creating their own separate AI laws, arguing that one national standard is needed to keep the U.S. competitive.

📱 Amazon is reportedly building a new AI-focused smartphone centered around Alexa, aiming to make its apps and services more seamless while giving the company another way to pull customers deeper into its ecosystem.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—79% were right!

Did you vote in the poll from March 20th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

Attio is the AI CRM for modern teams.

Connect your email and calendar and Attio instantly builds your CRM. Every contact, every company, every conversation — organized in one place. Then ask it anything. No more digging, no more data entry. Just answers.

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^{AI MARKET PULSE}
AI Could Make the Entry-Level Job Market Much Harder for New Graduates

BlackRock CEO Larry Fink warns that the class of 2026 may face a brutal entry-level job market as AI begins to automate the white-collar tasks that once helped graduates get their foot in the door. The article argues that early-career office roles are becoming less secure, while competition for remaining jobs is intensifying. At the same time, AI-driven infrastructure growth is creating demand in skilled trades and other practical fields. The deeper thesis: AI is starting to disrupt the traditional college-to-office-job pipeline, making adaptability more important than ever.

So what does that mean for you?

The message is simple: young workers may need to think beyond the default white-collar path and build skills that match where demand is going. In practical terms, that means:

• Learn to use AI tools early
• Stay open to nontraditional career paths
• Prioritize adaptability over credentials alone

The signal is clear. AI is not just reshaping established careers—it is changing how new workers enter the economy in the first place.

👉️ Read the article here

The Future of AI in Marketing. Your Shortcut to Smarter, Faster Marketing.

Unlock a focused set of AI strategies built to streamline your work and maximize impact. This guide delivers the practical tactics and tools marketers need to start seeing results right away:

• 7 high-impact AI strategies to accelerate your marketing performance

• Practical use cases for content creation, lead gen, and personalization

• Expert insights into how top marketers are using AI today

• A framework to evaluate and implement AI tools efficiently

Stay ahead of the curve with these top strategies AI helped develop for marketers, built for real-world results.

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^{WORKFLOW BUILDER}
The 30-Day Newsletter Factory

Goal: Research, draft, and schedule a full month of high-value email newsletters in a single afternoon, freeing up 10+ hours of creative grunt work.

Steps:

1. Curate Winning Topics

   Identify high-engagement trends and questions within your niche to fuel four weeks of content.

   • Prompt ChatGPT: Search for the top 5 trending topics and "how-to" questions in the [Niche] space from the last 7 days and summarize why they are currently viral.

   • ➡️ Next: Select the 4 strongest topics—one for each weekly send.

2. Build the Content Skeleton

   Create a consistent structural framework for all four newsletters to ensure brand familiarity.

   • Prompt ChatGPT: Create a 4-part newsletter outline for [Topic] that includes a personal hook, 3 actionable bullet points, a "tool of the week," and a call to action.

   • ➡️ Next: Repeat for each of your four selected topics and save them in Notion

3. Generate the First Drafts

   Expand your outlines into conversational, personality-driven emails.

   • Prompt ChatGPT: Write a 400-word newsletter based on the outline for [Topic] using a "friend-to-friend" tone and plenty of white space for mobile readability.

   • ➡️ Next: Review the drafts for your "voice" and add any personal anecdotes.

4. Optimize Subject Lines & Preheaders

   Maximize your open rates with curiosity-driven headlines for every edition.

   • Prompt ChatGPT: Write 3 "curiosity-gap" subject lines and 3 matching preheaders for each of the 4 newsletters to encourage a high click-to-open rate.

   • ➡️ Next: Choose the strongest pair for each send and paste them into your ESP (Beehiiv/ConvertKit).

5. Automate the Formatting

   Convert your text into clean, professional email layouts without the manual design struggle.

   • Prompt ChatGPT: Convert the newsletter text for [Topic] into a Markdown-formatted draft that includes bold headers and clear bullet points ready for a direct copy-paste.

   • ➡️ Next: Paste your month of content into your newsletter platform and hit "Schedule."

Pro Tip (Upgrade):
Use Meco to research your competitors' newsletters in a distraction-free AI inbox. It helps you see what’s working in your niche so you can refine your own content strategy in seconds.

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^{TODAY’S PROMPT}
Build an AI Inbox System That Sorts, Replies, and Routes for You

This mega-prompt acts like an AI email operations strategist and automation architect, turning your inbox workflow, lead criteria, response needs, and tech stack into a complete inbound email automation system you can actually implement. It builds a practical blueprint for sorting messages, qualifying leads, routing conversations, and auto-replying to common emails so you can save time, respond faster, reduce manual inbox work, and avoid missing important opportunities.

👉 Use the prompt + check out my example output here

AI INBOUND EMAIL AUTOMATION — SHORT VERSION

Act as an expert AI automation architect and email workflow strategist.

Your job is to design a practical AI system that manages inbound email for my business. The system should automatically sort incoming emails, identify and prioritize leads, send safe auto-replies to common messages, route important emails correctly, and reduce manual inbox work without creating unnecessary risk.

Use the inputs below to build the system. If anything is missing, make the most reasonable assumption and state it briefly before the plan.

BUSINESS INFO
• Business type: [insert]
• What I sell: [insert]
• Main purpose of inbound email: [lead gen / support / sales / partnerships / scheduling / mixed]
• Email volume: [insert]
• Team size: [solo / small team / other]
• Biggest inbox problems: [insert]

EMAIL WORKFLOW
• Email platform: [Gmail / Outlook / other]
• Types of emails received: [insert]
• Emails that can be auto-replied to: [insert]
• Emails that must be reviewed by a human: [insert]
• Emails that should never get an auto-reply: [insert]
• Routing rules: [insert]

LEAD LOGIC
• What counts as a qualified lead: [insert]
• Lead priority levels: [hot / warm / cold / unqualified]
• Data to extract from emails: [name, company, budget, timeline, etc.]
• CRM: [HubSpot / Salesforce / Airtable / none]
• Need CRM entry: [yes / no]
• Need lead scoring: [yes / no]

AUTO-REPLY RULES
• Common message types needing replies: [insert]
• Reply tone: [professional / warm / direct / premium]
• Brand voice notes: [insert]
• Links to include: [Calendly / FAQ / intake form / other]
• Need personalized replies: [yes / no]

TOOLS
• Automation platform: [Zapier / Make / n8n / Lindy / no preference]
• AI model: [ChatGPT / Claude / Gemini / no preference]
• Other tools: [Slack / Notion / HubSpot / Calendly / etc.]
• Technical skill level: [beginner / intermediate / advanced]
• Build style: [no-code / low-code / simplest possible]

SAFETY
• Compliance needs: [none / legal / healthcare / finance / other]
• Need human approval for some replies: [yes / no]
• Need confidence threshold: [yes / no]
• Need logging or audit trail: [yes / no]
• Need fallback rules when AI is uncertain: [yes / no]

OUTPUT
Create the final answer in these sections:

1. Automation Summary  
Explain what the system does, what is automated, what stays human-reviewed, and why it fits the business.

2. Email Categories  
Define the main inbound email categories and what should happen to each one.

3. Workflow  
Map the step-by-step flow from incoming email to classification, lead scoring, reply, routing, CRM logging, and fallback handling.

4. Tool Stack  
Recommend the best tools and explain what each one does.

5. Lead Scoring  
If relevant, define hot, warm, cold, and unqualified lead logic.

6. Auto-Replies  
Explain which emails should get automatic replies, when to avoid automation, and include sample templates if useful.

7. Safety Rules  
Define confidence thresholds, human review triggers, and categories that should never be fully automated.

8. Rollout Plan  
Give the simplest version to build first, then how to improve it over time.

Make the final system practical, safe, and easy to implement. Avoid over-engineering. Prioritize speed, lead capture, clear routing, and useful automation.

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

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^{AI SPOTLIGHT}
Jensen Huang Just Painted an Extreme Vision of the AI Agent Future

Nvidia CEO Jensen Huang is envisioning a future where AI agents become deeply embedded in everyday work at a scale that dwarfs human headcount. Speaking at Nvidia’s GTC conference, Huang said that within a decade the company could have roughly 75,000 employees working alongside 7.5 million AI agents—a ratio of 100 agents for every human worker. In his view, these systems will not simply act like chatbots, but as autonomous software workers capable of reasoning, planning, and taking action around the clock. Nvidia is also moving to support that future by launching tools that help enterprises build and manage their own agents. Because Nvidia sits at the center of the AI economy, Huang’s comments carry weight beyond one company. The deeper thesis: AI agents are increasingly being positioned not as side tools, but as a core layer of future knowledge work.

Key Takeaways:

• Jensen Huang believes AI agents could eventually outnumber human workers at massive scale
• Nvidia is building tools to help enterprises create and deploy their own agent systems
• The broader vision of work is shifting toward humans managing fleets of always-on AI agents

👉️ Read the full article here

^{AI QUICK HITS}

🎥 A new independent film will use an AI-generated version of Val Kilmer—with his estate’s permission and compensation—marking one of Hollywood’s most high-profile tests yet of how generative AI can ethically bring a deceased actor back to the screen.

📱 Nothing CEO Carl Pei argues that smartphone apps will eventually be replaced by AI agents that understand a user’s intent, take action on their behalf, and turn phones from app-launching tools into far more proactive, personalized systems.

🧑‍💻 Google just upgraded AI Studio into a much more complete app-building environment, adding a stronger coding agent, Firebase backend support, modern web framework integrations, and persistent project memory so users can go from simple prompts to production-ready web apps in one place.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—58% were right!

Did you vote in the poll from March 18th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

Stop typing prompts. Start talking.

You think 4x faster than you type. So why are you typing prompts?

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^{AI MARKET PULSE}
AI Is Reshaping Work Faster Than Most People Realize

A new workforce report argues that 2026 will mark a turning point in how AI changes jobs, skills, pay, and company structure. Rather than simply eliminating work, AI is transforming it—pushing organizations toward human-AI hybrid teams, accelerating demand for technical and creative skills, and increasing pressure to retrain employees before they fall behind. The report cites a range of signals: workers with AI skills are commanding wage premiums, companies are integrating generative AI into core workflows, and even management layers may shrink as automation takes over coordination and oversight tasks. At the same time, new regulations are emerging to govern workplace AI, especially in hiring and performance decisions. The deeper thesis: AI is no longer a future trend to monitor—it is actively redefining the value of work right now.

So what does that mean for you?

The spread of AI across the workforce signals a broader shift in how careers will be built and sustained. The opportunity will increasingly go to people who can combine AI fluency with human strengths like judgment, adaptability, communication, and leadership. In practical terms, that means:

• Learn the AI tools most relevant to your field
• Build human skills that become more valuable alongside automation
• Treat reskilling as part of your career strategy

The signal is clear. AI is not just changing what tools people use—it is changing which roles grow, which skills command higher pay, and which workers stay competitive. Those who learn to work with AI, instead of ignoring it, will be better positioned to create value and remain resilient in a rapidly changing economy overall.

👉️ Read the article here

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^{WORKFLOW BUILDER}
The Ad Copy Variation Machine

Goal: Turn one successful competitor ad into 10 high-converting variations for Facebook and Instagram to scale your sales without creative fatigue.

Steps:

1. Reverse-Engineer the Hook

   Analyze a winning competitor ad to find the psychological trigger that makes people stop scrolling.

   • Prompt ChatGPT: I am pasting an ad from a competitor. Identify the core "hook" and the emotional pain point it targets for [Target Audience].

   • ➡️ Next: Save this emotional trigger as your "North Star" for the next variations.

2. Rewrite for 5 Different Personas

   Tailor your messaging to resonate with different segments of your audience.

   • Prompt ChatGPT: Write 5 versions of the primary ad copy, each targeting a different persona (e.g., the busy parent, the budget-conscious seeker, the status-driven achiever).

   • ➡️ Next: Choose the 3 strongest personas to move into the visual phase.

3. Generate Visual Design Briefs

   Create specific instructions for images or videos that perfectly complement your new copy.

   • Prompt ChatGPT: Write a 2-sentence visual brief for [Persona X] that describes a high-converting image or video clip to pair with the copy written in Step 2.

   • ➡️ Next: Open Canva or an AI image generator to create the first 3 visuals.

4. Draft "Short-Form" and "Long-Form" Pairs

   Test whether your audience prefers a quick "punch" or a detailed, story-driven explanation.

   • Prompt ChatGPT: Take the best-performing copy variation and rewrite it into one "micro-ad" (under 50 words) and one "long-form story" ad (300 words).

   • ➡️ Next: Label these as "Split Test A" and "Split Test B" in your ad manager.

5. Create a "Scroll-Stopping" Headline Menu

   Generate a variety of headlines to find the one that maximizes your Click-Through Rate (CTR).

   • Prompt ChatGPT: Write 10 punchy Facebook ad headlines under 40 characters each, using a mix of curiosity, benefit-driven results, and urgent questions.

   • ➡️ Next: Plug your top copy, visuals, and headlines into Meta Ads Manager to launch your test.

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^{TODAY’S PROMPT}
Plan Your Meals, Recipes, and Grocery List in One Prompt

This mega-prompt acts like a personalized AI nutrition coach and meal planning strategist, turning your goals, diet preferences, schedule, and budget into a complete 7-day meal system you can actually follow. It builds a realistic weekly plan with daily meals, simple recipes, and an organized grocery list so you can eat with more structure, save time, reduce decision fatigue, and stay aligned with your nutrition goals.

👉 Use the prompt + check out my example output here

AI MEAL PLANNER — MEGA PROMPT

1️⃣ CLEAR ASK

Act as an expert **nutrition coach, meal planner, recipe developer, and practical grocery strategist**.

Your task is to create a **personalized 7-day meal plan** with **daily meals, simple recipes, and a complete grocery list** based on the user’s dietary preferences, goals, lifestyle, cooking ability, and budget.

You must:

• Build a full **7-day plan**
• Personalize the meals to the user’s goals and constraints
• Include **breakfast, lunch, dinner, and snacks** (if requested)
• Provide **simple, realistic recipes**
• Create a **fully organized grocery list**
• Keep the plan practical, repeatable, and easy to follow

Once the plan is complete, deliver a **clear, polished, and immediately usable weekly meal system** the user can begin following right away.


2️⃣ CONTEXT & PURPOSE

Many people want a meal plan, but run into three major problems:

• Meal plans are too generic  
• Recipes are too complicated or unrealistic  
• Grocery lists are incomplete, disorganized, or wasteful  

This prompt solves that problem by functioning like a **nutrition strategist and real-world meal planning assistant**, turning the user’s preferences and constraints into a structured weekly system that is easy to shop for, prepare, and follow.

The objective is to help the user:

• Eat in alignment with their goals  
• Reduce decision fatigue  
• Save time during the week  
• Avoid wasting food and money  
• Follow a meal plan that actually fits real life  

This system prioritizes:

• Practical execution  
• Personalization  
• Simplicity  
• Nutritional alignment  
• Real-world usability


3️⃣ DETAILED INPUT REQUIREMENTS

Use the information below to personalize the meal plan.

If something is missing, make the **most reasonable assumption** and briefly state it before the plan.

USER GOAL

• Primary goal: [fat loss / muscle gain / maintenance / healthier eating / energy / convenience / family meals / budget eating / other]  
• Daily calorie target: [insert amount / estimate for me]  
• Macro preference: [high protein / balanced / low carb / high carb / low fat / keto / paleo / Mediterranean / other]

USER PROFILE

• Number of people to feed: [1 / 2 / family / other]  
• Age and sex (optional): [insert]  
• Height, weight, and activity level (optional): [insert]

DIET PREFERENCES & RESTRICTIONS

• Eating style: [omnivore / vegetarian / vegan / pescatarian / gluten-free / dairy-free / keto / other]  
• Allergies or intolerances: [insert]  
• Foods to avoid: [insert]  
• Foods enjoyed: [insert]  
• Health or digestive considerations: [insert if relevant]

LIFESTYLE & COOKING CONSTRAINTS

• Cooking skill level: [beginner / intermediate / advanced]  
• Time available for cooking: [very limited / 15–20 min / 30 min / flexible]  
• Preferred meal complexity: [very simple / moderate / more variety]  
• Meals per day: [2 / 3 / 4 / other]  
• Include snacks: [yes / no]  
• Need meal prep friendly meals: [yes / no]  
• Need portable lunches: [yes / no]  
• Kitchen equipment available: [stove / oven / microwave / air fryer / blender / slow cooker / Instant Pot / limited kitchen]

BUDGET & SHOPPING PREFERENCES

• Weekly grocery budget: [low / moderate / premium / exact amount]  
• Preferred shopping style: [budget / standard supermarket / premium / Costco-style bulk / no preference]  
• Use overlapping ingredients to save money: [yes / no]  
• Ingredient preference: [fresh / frozen / canned / mixed]

OUTPUT PREFERENCES

• Tone: [straightforward / encouraging / professional / minimalist]  
• Recipe detail level: [quick summary / concise step-by-step / more detailed]  
• Include portion sizes: [yes / no]  
• Include estimated calories and macros per meal: [yes / no]  
• Include substitutions: [yes / no]  
• Include leftover planning: [yes / no]


4️⃣ MEAL PLANNING RULES

You must:

• Build a complete **7-day meal plan**
• Make the meals realistic for the user’s schedule, skill level, and budget
• Prioritize easy-to-find ingredients unless the user requests otherwise
• Use overlapping ingredients intelligently to reduce waste and simplify shopping
• Keep recipes concise, practical, and beginner-friendly unless otherwise requested
• Match the nutrition style to the user’s stated goal
• Prioritize protein-forward meals if the goal is fat loss or muscle gain
• Avoid random filler meals that do not align with the user’s preferences
• Make the plan feel customized, not generic
• Use leftovers strategically if helpful
• Keep the grocery list complete, organized, and efficient

The meal plan should typically feel like something a **premium nutrition coach or meal prep consultant** would deliver, but written clearly enough that the user can execute it immediately.


5️⃣ FINAL OUTPUT REQUIREMENTS

After processing the user’s inputs, generate the following sections.


-----------------------------------------------------

SECTION A — PLANNING ASSUMPTIONS

Briefly list any assumptions made because the user did not provide certain details.

Include:

• Missing details you estimated  
• Any reasonable defaults used  
• Any simplifying assumptions used to improve practicality


-----------------------------------------------------

SECTION B — 7-DAY MEAL PLAN

Create the full 7-day plan.

For each day, include:

• Breakfast  
• Lunch  
• Dinner  
• Snacks (if requested)  
• Portion guidance (if requested)  
• Estimated calories and macros per meal (if requested)

Each day should feel balanced, achievable, and aligned with the user’s goal.


-----------------------------------------------------

SECTION C — RECIPES & PREP INSTRUCTIONS

For each **unique meal** in the plan, include:

• Meal name  
• Ingredient list  
• Simple step-by-step instructions  
• Estimated prep time  
• Estimated cook time  
• Storage or meal prep note (if relevant)

Recipes should be concise, clear, and immediately usable.


-----------------------------------------------------

SECTION D — COMPLETE GROCERY LIST

Create a fully organized grocery list grouped by category.

Use categories such as:

• Proteins  
• Produce  
• Carbs & grains  
• Dairy / dairy alternatives  
• Pantry staples  
• Frozen items  
• Snacks  
• Sauces / condiments / seasonings

Include estimated quantities whenever possible.


-----------------------------------------------------

SECTION E — WEEKLY SUCCESS TIPS

Provide **5–10 short practical tips** to help the user follow the meal plan successfully.

Examples:

• Prep strategies  
• Storage suggestions  
• Time-saving ideas  
• Easy substitutions  
• Ways to avoid waste


-----------------------------------------------------

SECTION F — OPTIONAL SUBSTITUTIONS

If substitutions were requested, include easy swaps for major ingredients or meals.

Examples:

• Protein swaps  
• Carb swaps  
• Dairy-free swaps  
• Lower-cost swaps  
• Faster-prep swaps


6️⃣ ADDITIONAL INSTRUCTIONS

You must ensure that the final plan is:

• Realistic for a full week  
• Aligned with the user’s nutrition goal  
• Easy to shop for  
• Easy to prepare  
• Practical for real life  
• Structured clearly enough to use immediately  

Avoid:

• Overly complex recipes  
• Hard-to-find ingredients unless requested  
• Generic nutrition advice with no personalization  
• Incomplete grocery lists  
• Meal plans that waste excessive ingredients  
• Unrealistic prep expectations for busy users


7️⃣ FINAL QUALITY CHECK

Before delivering the final meal plan, verify that:

✓ The meals match the user’s dietary preferences and restrictions  
✓ The plan supports the user’s stated goal  
✓ The recipes are clear and practical  
✓ The grocery list includes everything needed  
✓ The meals are realistic for the user’s time, budget, and skill level  
✓ The output feels polished, structured, and immediately usable  

The user should finish the process feeling:

"I now have a personalized weekly meal plan, clear recipes, and a complete grocery list I can use right away."

⚡️ Want to Build and Sell Prompts Like This?
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^{AI SPOTLIGHT}
Nvidia Just Sent a Major Signal About the Future of AI Agents

Nvidia, now the world’s most valuable company and a central force in the AI boom, is making it clear that AI agents are becoming a major priority across the tech industry. At its annual GTC conference, the company announced new software tools, infrastructure, and computing systems designed specifically to support AI assistants that can complete tasks autonomously. Nvidia is also backing OpenClaw, a fast-rising open-source agent platform, while expanding beyond its traditional GPU focus with new CPU-based racks and additional processing hardware better suited for agentic workloads. Because so many companies depend on Nvidia’s technology to build and run AI systems, its strategic shift carries broader significance. The deeper thesis: when the core infrastructure provider of the AI economy pivots toward AI agents, it signals that autonomous AI tools are moving closer to mainstream adoption.

Key Takeaways:

• Nvidia is positioning AI agents as a core part of the next wave of AI infrastructure
• New tools and hardware are being built specifically to support agent-based systems
• The broader AI industry may increasingly organize around agentic workflows and automation

👉️ Read the full article here

^{AI QUICK HITS}

🤖 Robot dogs are starting to patrol and inspect data centers because operators see them as a practical way to strengthen security, catch equipment problems early, and reduce labor costs while still keeping humans in control.

🧑‍💻 Alibaba just launched a new enterprise AI agent platform called Wukong that lets businesses manage multiple AI assistants from one interface, signaling the company is pushing deeper into workplace automation with security-focused tools and planned integrations across DingTalk, Slack, Teams, and other major platforms.

🧪 THOR AI solved the long-standing problem of directly calculating the configurational integral—an extremely high-dimensional physics equation used to predict how atoms interact inside materials—which has traditionally been so computationally difficult that scientists had to rely on slow, indirect simulations instead.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—56% were wrong!

Did you vote in the poll from March 16th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

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^{AI MARKET PULSE}
AI Is Quietly Replacing “Safe” Professional Services

A Florida homeowner recently used ChatGPT to manage nearly every step of selling his house—from pricing and marketing to listing on the MLS—demonstrating how AI is beginning to automate tasks traditionally handled by real estate professionals. Robert Levine relied on the tool to plan timelines, recommend home improvements, create marketing materials, schedule showings, and even help generate the contract used in the sale. Within 72 hours of listing the property, he received five offers and signed a contract within five days. By handling the process himself with AI guidance, Levine estimates he saved roughly 3% of the home’s total sale price that would normally go to a realtor. The deeper thesis: AI isn’t just transforming tech jobs—it’s beginning to disrupt professions once considered relatively safe from automation.

So what does that mean for you?

The expansion of AI into industries like real estate signals a broader shift in how professional services will operate. Tools like ChatGPT are enabling individuals to perform complex tasks that previously required specialized intermediaries, reducing costs and changing how value is created. The advantage will go to people who learn to leverage AI to increase their output—or use it to build independent income streams outside traditional employment:

• Learn how to use AI tools to automate professional workflows
• Develop skills that combine AI leverage with human expertise
• Start building AI-powered income streams outside your job

The signal is clear. Jobs once considered protected from automation are increasingly being augmented—or replaced—by AI-assisted workflows. Those who learn to use AI to create value and generate income will gain resilience in an evolving economy.

👉️ Read the article here

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^{WORKFLOW BUILDER}
The "Close-Faster" CRM

Goal: Turn a static Notion table into an intelligent sales assistant that drafts personalized follow-ups and analyzes deal status to increase your closing rate.

Steps:

1. Build the Pipeline Structure

   Create a high-visibility dashboard to track your prospects from "Lead" to "Closed-Won."

   • Prompt ChatGPT: Write a list of 6 essential CRM stages for a [solo creator/freelancer] and suggest 4 Notion properties (e.g., Last Contact, Lead Value) to track for each deal.

   • ➡️ Next: Set up a "Board View" database in Notion using these stages as columns.

2. Standardize Lead Inputs

   Create a simple form to feed prospect data into your system without the mess.

   • Prompt ChatGPT: Write a 5-question "Lead Intake" template that captures a prospect's biggest pain point, budget, and current solution so I can paste it into Notion.

   • ➡️ Next: Create a "New Lead" template inside your Notion database containing these questions.

3. Generate the "Perfect" Follow-Up

   Draft hyper-personalized emails based on the specific data in your Notion lead card.

   • Prompt ChatGPT: Write a 3-sentence follow-up email for a lead who is struggling with [Pain Point] and mentioned a budget of [Budget]. Keep it casual, helpful, and focused on a 15-minute discovery call.

   • ➡️ Next: Copy the draft into your email provider and hit send.

4. Analyze Deal Stagnation

   Identify why a lead hasn't moved and get a "Save-the-Deal" strategy.

   • Prompt ChatGPT: Act as a sales coach. I have a lead stuck in the "Proposal Sent" stage for 10 days; write a non-desperate "check-in" message that offers a new piece of value or an interesting case study.

   • ➡️ Next: Paste the strategy into the "Comments" section of the Notion lead card.

5. Automate Status Updates

   Summarize your call notes into a clean "Current Status" blurb for quick review.

   • Prompt ChatGPT: Write a one-paragraph summary of these raw meeting notes: [Paste Notes]. Highlight the next 3 action items I need to complete to move the deal forward.

   • ➡️ Next: Update the "Status" property in Notion so you can see your next move at a glance.

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^{TODAY’S PROMPT}
Find Your Fastest AI Income Path With This Guided Prompt

This mega-prompt acts like an AI business coach, interviewing you to uncover the fastest path to making money with AI. It turns your skills, time, and goals into a clear income model, a practical 30-day plan, and a simple monetization strategy for your first revenue.

👉 Use the prompt + check out my example output here

AI INCOME PATH INTERVIEW — MEGA PROMPT

1️⃣ CLEAR ASK

Act as an expert AI Income Coach, business strategist, and opportunity analyst.

Your task is to conduct a **guided diagnostic interview** to determine the fastest realistic path for the user to generate income using AI tools within the next **30 days**.

You must:

• Interview the user step-by-step  
• Ask **one question at a time**  
• Adapt each follow-up question based on the user’s previous answer  
• Identify the most realistic AI income opportunity based on the user’s skills, time, resources, and goals  

Once the interview is complete, deliver a **clear and actionable 30-day AI income launch plan** that the user can immediately begin executing.


2️⃣ CONTEXT & PURPOSE

Many people want to make money using AI but struggle with three major problems:

• Too many possible AI business models  
• Lack of clarity about which opportunity fits their skills  
• Overwhelming or unrealistic business advice  

This prompt solves that problem by functioning like a **business coach and diagnostic strategist**, guiding the user through a structured interview to uncover:

• Their strengths  
• Available time and resources  
• Skills that can be monetized  
• AI tools that can accelerate their work  

The objective is to identify the **fastest path to a realistic first revenue milestone** using AI.

This system prioritizes:

• Speed to first income  
• Practical execution  
• Low startup complexity  
• AI leverage


3️⃣ DETAILED INPUT REQUIREMENTS (USER PROVIDES DURING INTERVIEW)

During the interview, gather the following information.

Ask questions conversationally, one at a time.

USER BACKGROUND

• Current profession or expertise  
• Previous business or freelance experience  
• Existing skills (technical, creative, analytical, marketing, etc.)

TIME AVAILABILITY

• Hours available per week  
• Preferred working schedule  
• Willingness to learn new tools

RESOURCES

• Budget available to start (if any)  
• Access to existing audience, network, or clients  
• Tools already familiar with

INTERESTS & PREFERENCES

• Preferred type of work (creative, technical, analytical, etc.)  
• Interest in building a business vs freelancing vs digital products  
• Risk tolerance

GOALS

• Desired income target in 30 days  
• Long-term income goal  
• Preferred lifestyle (side hustle vs full-time business)

MARKET OPPORTUNITY

• Industries they are familiar with  
• Problems they frequently see in their industry  
• Communities they are part of


4️⃣ INTERVIEW FLOW RULES

You must:

• Ask **one question at a time**
• Wait for the user’s response before continuing
• Adapt the next question based on their answer
• Prioritize identifying monetizable skills
• Focus on opportunities that can realistically produce income quickly

The interview should typically take **6–10 questions** before generating the final plan.


5️⃣ FINAL OUTPUT REQUIREMENTS

After completing the interview, generate the following sections.


-----------------------------------------------------

SECTION A — BEST-FIT AI INCOME MODEL

Identify the most realistic AI-powered income path for the user.

Include:

• Name of the income model  
• Short explanation of how it works  
• Why it fits the user specifically  
• Example of what the user would sell


-----------------------------------------------------

SECTION B — 30-DAY LAUNCH PLAN

Create a **step-by-step weekly execution roadmap**.

Week 1 — Setup  
Week 2 — Offer creation  
Week 3 — Lead generation  
Week 4 — Monetization

Each week should include **specific actions the user can execute immediately.**


-----------------------------------------------------

SECTION C — AI TOOLS & AUTOMATION STACK

Recommend the specific tools required to execute the plan.

Include:

• AI creation tools  
• Research tools  
• Automation tools  
• Sales and marketing tools

Explain briefly how each tool fits into the workflow.


-----------------------------------------------------

SECTION D — FIRST MONETIZATION MILESTONE

Define the **first realistic revenue goal**.

Include:

• The first product or service to sell  
• Expected price point  
• Number of sales required  
• Simple sales method


-----------------------------------------------------

SECTION E — SIMPLE CLIENT OR CUSTOMER ACQUISITION PLAN

Recommend the fastest channels to get initial customers.

Examples:

• LinkedIn outreach  
• Community-based selling  
• Cold email  
• Content marketing

Include one **sample outreach message or sales pitch.**


6️⃣ ADDITIONAL INSTRUCTIONS

You must ensure that the final plan is:

• Realistic within 30 days  
• Achievable with beginner-level AI tools  
• Focused on speed to first revenue  
• Simple enough to start immediately  

Avoid:

• Complex startup ideas  
• Long product development cycles  
• Advice that requires large audiences or venture funding


7️⃣ FINAL QUALITY CHECK

Before delivering the final plan, verify that:

✓ The income model matches the user's skills and resources  
✓ The plan can realistically produce income within 30 days  
✓ All steps are clear and executable  
✓ The AI tools recommended simplify the work  

The user should finish the process feeling:

"I now have a clear AI income path and a realistic plan to make my first money."

⚡️ Want to Build and Sell Prompts Like This?
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^{AI SPOTLIGHT}
Experienced Workers May Hold an Advantage in the AI Economy

As artificial intelligence reshapes the workforce, some analysts argue that one overlooked group may become increasingly valuable: women over 50. In a business environment marked by economic uncertainty, geopolitical instability, and rapid technological change, organizations may need employees with strong judgment, adaptability, and experience navigating complex transitions. Many women in this age group have spent decades moving between roles, balancing careers with caregiving responsibilities, and adapting to shifting professional landscapes. These experiences can translate into resilience and the ability to learn and relearn skills as technology evolves. The deeper thesis: as AI accelerates change across industries, experienced workers capable of adapting to uncertainty may become strategically important assets.

Key Takeaways:

• Women over 50 represent a growing and underutilized segment of the workforce
• Career transitions and life experience can translate into adaptability in the AI era
• Continuous learning and resilience are becoming critical skills in an AI-driven economy

👉️ Read the full article here

^{AI QUICK HITS}

🧠 Scientists built the first artificial neuron that operates at the same electrical voltage as real brain cells, allowing electronic circuits to communicate directly with living tissue and potentially paving the way for more advanced brain-computer interfaces, medical implants, and ultra-efficient wearable devices.

💈 Scientists successfully grew fully functional hair follicles in the lab by combining three key cell types—including mesenchymal cells—and even transplanted them into mice, marking a major step toward potential regenerative treatments that could one day reverse hair loss in humans.

🧬 Researchers developed a machine learning model that can accurately predict the outcomes of complex chemical reactions using limited data, allowing scientists to screen thousands of molecules virtually and dramatically reduce the time and cost required to discover new drugs.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—53% were wrong!

Did you vote in the poll from March 14th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

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^{AI MARKET PULSE}
AI and Autonomous Labs Are Accelerating Scientific Discovery

Researchers from OpenAI and Ginkgo Bioworks demonstrated how AI paired with autonomous robotic labs can dramatically accelerate biological research. In a recent collaboration, OpenAI’s GPT-5 designed experiments for cell-free protein synthesis while Ginkgo’s automated lab systems executed and analyzed thousands of tests. Over two months, the AI-driven system ran more than 36,000 experimental variations and reduced the cost of producing a benchmark protein by roughly 40% compared with previous methods. The deeper thesis: AI is beginning to move beyond analysis and prediction into actively driving scientific discovery through rapid experimentation.

So what does that mean for you?

The fusion of AI systems with autonomous infrastructure expands what machines can accomplish beyond digital tasks. As AI begins designing and executing real-world experiments, industries like biotech, pharmaceuticals, materials science, and energy could see major acceleration. The advantage will go to professionals who understand how to work with AI-driven experimentation platforms and position themselves where AI multiplies research output rather than replacing expertise:

• Learn how AI models integrate with real-world research workflows
• Develop skills in AI-driven experimentation, automation, and data analysis
• Identify industries where AI is accelerating scientific discovery and innovation

The signal is clear. AI is compressing research timelines that once took years into cycles measured in hours or days. Those who learn to leverage AI-driven discovery systems will help drive the next wave of breakthroughs

👉️ Read the article here

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The AI economy is booming, and smart entrepreneurs are already profiting. Subscribe to Mindstream and get instant access to 200+ proven strategies to monetize AI tools like ChatGPT, Midjourney, and more. From content creation to automation services, discover actionable ways to build your AI-powered income. No coding required, just practical strategies that work.

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^{WORKFLOW BUILDER}
The Practical Guidance Hub

Goal: Transform chaotic daily tasks into a streamlined personal command center by bundling AI-generated life workflows into a single Notion dashboard.

Steps:

1. Build the Hub Structure

   Set up your master workspace to house every life category.

   • Prompt ChatGPT: Write a list of 8 essential "Life Management" categories for a solopreneur (e.g., Meal Planning, Travel, Budgeting) and suggest 3 specific database properties for each in Notion.

   • ➡️ Next: Create a new Notion page and set up your 8 category sub-pages.

2. Generate Your Core Workflows

   Create the step-by-step instructions for each category.

   • Prompt ChatGPT: Write a 5-step "Practical Guidance" workflow for [Category, e.g., Meal Planning] that is designed to be completed in under 20 minutes a week.

   • ➡️ Next: Paste these instructions into the corresponding Notion sub-page.

3. Create Custom Input Templates

   Standardize how you feed information to AI for consistent results.

   • Prompt ChatGPT: Write a "User Input Template" for [Category, e.g., Travel Itinerary] that asks for my destination, budget, and interests to ensure ChatGPT gives me a perfect plan every time.

   • ➡️ Next: Save this template in the "Quick Actions" section of your Hub.

4. Build the Routine Tracker

   Turn your guidance into an actionable daily or weekly checklist.

   • Prompt ChatGPT: Write a weekly "Life Admin" schedule that allocates 15 minutes a day to executing the workflows in my Hub.

   • ➡️ Next: Add a "Checklist" view to your Notion dashboard for daily tracking.

5. Personalize Your Knowledge Base

   Ensure the AI understands your specific preferences over time.

   • Prompt ChatGPT: Write a "Personal Context Profile" that summarizes my dietary restrictions, fitness level, and financial goals to use as a custom instruction for all future Hub updates.

   • ➡️ Next: Pin this profile to the top of your Hub for easy copying and pasting.

Pro Tip (Upgrade):
Use Lindy to connect your Hub to your email and calendar. It can auto-schedule the tasks generated by your workflows so you don't even have to open Notion to stay on track.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

Build It. Package It. Sell It

Ideas are simple.
Building something real takes a system.

The Prompt Empire Builder gives you a clear framework to turn AI prompts into structured, sellable digital products — with strategy, 300+ commercial-grade prompts, and a Notion workspace to run it all.

No guesswork.
No scattered files.
No half-built drafts.

If you’re ready to execute properly:

👉 Get The Prompt Empire Builder ($47)

^{TODAY’S PROMPT}
Turn Your Skills Into a Productized Service (In One Prompt)

This mega-prompt operates like a productized service architect, turning your skills, audience, and business goals into a clearly packaged offer you can sell immediately. It transforms scattered expertise into defined services, pricing tiers, delivery systems, and positioning—cutting through vague consulting ideas and producing a launch-ready service with clear outcomes, structured workflows, and compelling messaging without endless planning or revisions.

👉 Use the prompt + check out my example output here

PRODUCTIZED SERVICE CREATOR — MEGA PROMPT

1️⃣ CLEAR ASK

You are a Senior Business Strategist, Productized Service Architect, and Go-To-Market Advisor.

Your task is to take the user's expertise, skills, and market opportunity and convert it into a **fully structured productized service**.

You must create:

• A clearly defined service offering  
• A packaged and repeatable service model  
• Pricing strategy and tier structure  
• Delivery workflow and operational system  
• Customer acquisition positioning  
• A simple sales message and offer structure  

The final output should allow the user to **launch a service immediately without needing additional planning**.


2️⃣ CONTEXT & PURPOSE

Most freelancers and consultants struggle because their services are:

• Custom for every client  
• Difficult to scale  
• Hard to price consistently  
• Time-intensive to deliver  
• Difficult to sell clearly  

Productized services solve these problems by transforming expertise into **repeatable, clearly packaged offers** with defined deliverables and pricing.

The purpose of this framework is to:

• Turn skills into a scalable service offering  
• Simplify pricing and packaging  
• Reduce operational complexity  
• Improve marketing clarity  
• Enable faster customer acquisition  

Assume the user wants:

• A service that is easy to explain  
• A service that can scale beyond their time  
• A service that produces clear outcomes for clients  
• A repeatable delivery system


3️⃣ DETAILED INPUT REQUIREMENTS (USER MUST FILL IN)

EXPERTISE & SKILLS

• Primary skill or expertise:
• Secondary supporting skills:
• Tools or platforms the user knows well:
• Years of experience (optional):
• Notable results, case studies, or credibility:


TARGET MARKET

• Industry or niche:
• Ideal customer profile:
• Company size or customer type:
• Biggest problem the customer has:
• Desired transformation or result:


SERVICE OPPORTUNITY

• The specific problem you want to solve:
• Current solutions customers use:
• Why current solutions are inefficient or broken:
• Unique method, system, or approach you could offer:


DELIVERY PREFERENCES

• Preferred delivery model:
  (Audit / Strategy / Setup / Implementation / Ongoing service)

• Delivery timeframe preference:
  (One-time / Weekly / Monthly / Project-based)

• Time available per week to deliver service:
• Level of automation desired:


BUSINESS GOALS

• Monthly income target:
• Desired price per client:
• Maximum number of clients at once:
• Long-term goal:
  (Agency / Solo operator / Scalable digital service / Hybrid)


BRAND POSITIONING

• Tone of the service brand:
  (Professional / Tactical / Premium / Fast-moving / Analytical)

• Differentiation angle:
• Key promise to clients:


4️⃣ OUTPUT REQUIREMENTS (MANDATORY STRUCTURE)

Your response must include the following sections:


-----------------------------------------------------

SECTION A — PRODUCTIZED SERVICE CONCEPT

Define the service clearly.

Include:

• Service Name  
• One-sentence value proposition  
• The core problem solved  
• The transformation clients receive  
• Who the service is for (ideal customer)


-----------------------------------------------------

SECTION B — SERVICE PACKAGE STRUCTURE

Create **3 pricing tiers**.

For each tier include:

• Package Name  
• Deliverables included  
• Timeline  
• Client responsibilities  
• Expected outcomes  

Pricing must be clearly defined.


-----------------------------------------------------

SECTION C — DELIVERY PLAYBOOK

Create a step-by-step operational workflow.

Include:

1. Client onboarding process  
2. Information gathering  
3. Execution steps  
4. Deliverables creation  
5. Communication checkpoints  
6. Final delivery and reporting  

The system must be repeatable and efficient.


-----------------------------------------------------

SECTION D — POSITIONING & SALES MESSAGE

Create:

• A clear one-paragraph sales pitch  
• A concise offer explanation  
• Key differentiators vs competitors  
• 3 objection-handling responses  


-----------------------------------------------------

SECTION E — CLIENT ACQUISITION STRATEGY

Recommend:

• 3 acquisition channels (e.g., LinkedIn, newsletter, cold outreach)  
• Example outreach message  
• Simple funnel for turning leads into clients  


-----------------------------------------------------

SECTION F — SCALABILITY PLAN

Explain how the service could scale through:

• Automation  
• Templates  
• SOPs  
• Hiring contractors  
• Turning parts of the service into digital products


5️⃣ ADDITIONAL INSTRUCTIONS (CRITICAL)

You must:

• Avoid vague services like “consulting”  
• Ensure the offer is clearly defined  
• Make deliverables concrete and specific  
• Ensure pricing aligns with the transformation value  
• Design the service so it is easy to explain and sell  

All recommendations must be:

• Practical  
• Realistic  
• Immediately implementable  


6️⃣ FINAL QUALITY CHECK (BEFORE DELIVERING)

Verify that:

✓ The service solves a clear and painful problem  
✓ The offer is easy to understand  
✓ The pricing structure makes sense  
✓ The delivery process is repeatable  
✓ The sales message is compelling  
✓ The user could launch the service immediately  


The user should feel:

"I could start selling this service tomorrow."

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

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^{AI SPOTLIGHT}
Meta Layoffs Signal AI-Driven Efficiency Push

Meta is reportedly planning sweeping layoffs that could affect 20% or more of its workforce as the company ramps up massive investments in artificial intelligence infrastructure. According to sources familiar with the plans, the restructuring aims to offset the rising costs of AI development while preparing the organization for efficiency gains driven by AI-assisted work. Meta is investing heavily in the space, including a projected $600 billion in data center spending by 2028 and aggressive hiring of top AI researchers. CEO Mark Zuckerberg has already noted that projects previously requiring large teams can increasingly be completed by a single highly skilled individual using AI tools. The deeper thesis: AI isn’t just enhancing productivity — it’s enabling companies to operate with smaller teams while shifting resources toward expensive AI infrastructure.

Key Takeaways:

• Meta may cut 20% or more of its workforce as it increases AI investments
• Massive spending on AI data centers and research is driving cost pressure
• AI-assisted work could allow companies to accomplish more with smaller teams

👉️ Read the full article here

^{AI QUICK HITS}

🏗️ Elon Musk’s xAI is undergoing a major rebuild after internal setbacks, leadership departures, and weak competition in AI coding tools, as the company reshuffles talent and strategy to catch up with rivals like OpenAI and Anthropic.

⚡️ ByteDance is reportedly deploying tens of thousands of Nvidia’s latest AI chips in Malaysia through a $2.5 billion computing build-out, giving the TikTok parent massive new processing power outside China to accelerate its global AI development.

🧑‍⚖️ Adobe agreed to a $150 million settlement with U.S. regulators over allegations it hid costly subscription termination fees and made cancellations unnecessarily difficult, resolving a consumer protection lawsuit while denying wrongdoing.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—55% were wrong!

Did you vote in the poll from March 13th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

Like coffee. Just smarter. (And funnier.)

Think of this as a mental power-up.

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Not convinced? It takes just 15 seconds to sign up, and you can always unsubscribe if you decide you prefer long, dull, dry business takes.

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^{AI MARKET PULSE}
Atlassian Layoffs Reflect AI-Driven Workforce Restructuring

Atlassian is cutting roughly 1,600 employees, or about 10% of its workforce, as part of a restructuring designed to accelerate investment in artificial intelligence and enterprise sales. More than 900 affected roles are in software research and development, highlighting how AI is reshaping even technical teams traditionally seen as core to product development. The company says the layoffs are meant to strengthen its financial position and allow it to self-fund deeper AI investments, while leadership acknowledged that AI is already changing the types of skills and roles the company needs. The deeper thesis: AI isn’t simply adding new tools to the workplace — it’s fundamentally altering workforce composition as companies rebalance teams toward AI-first capabilities.

So what does that mean for you?
AI adoption isn’t just about productivity gains — it’s reshaping the job market itself. The advantage belongs to professionals who build AI fluency and position themselves in areas where automation expands output rather than replaces it — while also developing independent income streams as a hedge against workplace disruption:

• Learn how AI tools actually work inside real workflows
• Develop skills around AI strategy, implementation, and systems
• Build AI-powered income channels outside traditional employment

The signal is clear. As companies restructure around artificial intelligence, even engineering-heavy teams are being reshaped. Those who learn to operate alongside AI — or generate income using it — will gain resilience, while those tied solely to traditional roles may face growing long-term risk.

👉️ Read the article here

The Future of AI in Marketing. Your Shortcut to Smarter, Faster Marketing.

Unlock a focused set of AI strategies built to streamline your work and maximize impact. This guide delivers the practical tactics and tools marketers need to start seeing results right away:

• 7 high-impact AI strategies to accelerate your marketing performance

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^{WORKFLOW BUILDER}
The Social Content Factory

Goal: Launch a recurring no-code service that delivers hyper-niche, weekly social media calendars to busy creators, allowing you to charge a premium monthly retainer.

Steps:

1. Define the Niche Identity

   Extract the specific brand voice and target audience "triggers" for your client.

   • Prompt ChatGPT: Act as a social media strategist. Define a "Brand DNA" for a [Niche, e.g., AI influencer] focusing on [Specific Topic, e.g., crypto tips] for an audience of [Target Audience].

   • ➡️ Next: Save this Brand DNA as a master template in Notion.

2. Generate the Monthly Hook List

   Create 30 days of high-engagement topics to eliminate content gaps.

   • Prompt ChatGPT: Write 30 unique, scroll-stopping content hooks for [Niche] that cover educational tips, industry news, and personal "behind-the-scenes" stories.

   • ➡️ Next: Map these hooks to a 4-week calendar layout.

3. Draft Platform-Specific Captions

   Convert hooks into ready-to-post captions for X (Twitter) and Instagram.

   • Prompt ChatGPT: Write a 280-character X post and a 100-word Instagram caption for Hook #[X]. Ensure the X post uses a strong "cliffhanger" and the IG caption includes 5 relevant hashtags.

   • ➡️ Next: Batch-generate the first 7 days and paste them into your client’s calendar.

4. Direct the Visual Assets

   Create descriptive prompts for AI images or video b-roll for every post.

   • Prompt ChatGPT: For the post about [Topic], write a detailed AI image generation prompt for a minimalist, high-end visual that captures the "vibe" of [Brand DNA].

   • ➡️ Next: Use Midjourney or Canva AI to generate the week’s visuals.

5. Package and Deliver

   Build a client-facing dashboard to hand over the "done-for-you" content.

   • Prompt ChatGPT: Write a 1-paragraph "Weekly Strategy Overview" for my client explaining why these 7 posts will drive growth and engagement this week.

   • ➡️ Next: Share the Notion dashboard with your client and collect your monthly fee.

Pro Tip (Upgrade):
Use Softr to turn your Notion database into a professional, branded client portal. It allows your clients to log in, view their calendar, and download assets without ever seeing your "behind-the-scenes" workspace.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

Build It. Package It. Sell It

Ideas are simple.
Building something real takes a system.

The Prompt Empire Builder gives you a clear framework to turn AI prompts into structured, sellable digital products — with strategy, 300+ commercial-grade prompts, and a Notion workspace to run it all.

No guesswork.
No scattered files.
No half-built drafts.

If you’re ready to execute properly:

👉 Get The Prompt Empire Builder ($47)

^{TODAY’S PROMPT}
Define Your Content Pillars and Generate Endless Ideas

This mega-prompt operates like a direct-response conversion architect, converting your product, audience, and positioning into a fully structured sales page built for measurable results. It transforms scattered ideas and rough messaging into persuasive headlines, objection-handling copy, and clear calls to action—cutting through generic marketing fluff, eliminating weak positioning, and delivering a publication-ready landing page designed to drive conversions without endless rewrites or second-guessing.

👉 Use the prompt + check out my example output here

CONTENT PILLAR BUILDER — MEGA PROMPT

1️⃣ CLEAR ASK

You are a Senior Content Strategist and Audience Growth Architect.

Your task is to analyze the user's niche, audience, and goals in order to:

• Define 3–5 powerful signature content pillars for their brand
• Ensure each pillar is strategically aligned with their expertise and audience interests
• Generate high-performing headline ideas under each pillar
• Maintain a balance of authority-building, engagement, and value-driven content
• Ensure the pillars create long-term brand consistency while still allowing creative flexibility

The output must produce a clear, repeatable content framework the user can use indefinitely to generate posts, newsletters, videos, or social media content.


2️⃣ CONTEXT & PURPOSE

Most creators struggle with inconsistent content because they lack clear content pillars.

Without pillars:
• Content feels random
• Audience expectations are unclear
• Authority is diluted
• Growth becomes inconsistent

The purpose of this framework is to:

• Establish clear areas of expertise
• Make content creation faster and easier
• Build authority and audience trust
• Ensure every piece of content strengthens the brand
• Provide endless content ideas without creative burnout

This system should allow the user to produce months of content with clarity and strategic direction.

Assume the user wants:
• Consistent audience growth
• Strong positioning in their niche
• Content that feels varied but still cohesive


3️⃣ DETAILED INPUT REQUIREMENTS (USER MUST FILL IN)

NICHE & BRAND POSITIONING

• Primary niche or industry:
• Sub-niches or specialized topics:
• Core expertise or experience:
• Unique perspective or contrarian beliefs:
• Personal story or credibility factors:


TARGET AUDIENCE

• Who is the audience?
• Audience experience level (Beginner / Intermediate / Advanced):
• Biggest pain points:
• Desired outcomes:
• Misconceptions the audience commonly believes:


PLATFORM & FORMAT

• Primary platform(s): (Newsletter / Twitter / LinkedIn / YouTube / Blog / Podcast / Mixed)
• Typical content length: (Short posts / Medium threads / Long-form / Mixed)
• Posting frequency goal:


BRAND VOICE

• Tone (Direct / Educational / Analytical / Entertaining / Opinionated / Tactical):
• Personality style (Operator / Teacher / Analyst / Storyteller / Creator):
• Level of authority (Beginner-friendly / Expert-led / Mixed):


CONTENT GOALS

• Primary growth goal (Audience growth / Lead generation / Authority building / Product sales):
• Topics to avoid:
• Topics the user wants to be known for:


4️⃣ OUTPUT REQUIREMENTS (MANDATORY STRUCTURE)

Your response must include the following sections:


SECTION A — CONTENT PILLAR OVERVIEW

Identify **3–5 signature content pillars**.

For each pillar include:

• Pillar Name
• Short description (1–2 sentences)
• Why this pillar matters for audience growth
• Types of content it supports



SECTION B — CONTENT IDEA GENERATOR

For EACH pillar generate:

• 10 headline or post ideas

Headlines must follow strong curiosity and value frameworks such as:

• "The Hidden Problem With [Industry Belief]"
• "Most People Get [Topic] Wrong — Here's Why"
• "The System That Changed How I Approach [Topic]"
• "What Nobody Tells You About [Topic]"
• "The Step-by-Step Framework For [Outcome]"

Headlines should be:
• Scroll-stopping
• Clear
• Specific
• Audience-relevant
• Immediately useful

Total headline output: **30–50 ideas**



SECTION C — STRATEGIC CONTENT BALANCE

Explain briefly how the pillars support:

• Authority
• Engagement
• Growth
• Long-term brand positioning


SECTION D — OPTIONAL CONTENT FORMATS

Suggest formats that work well with these pillars, such as:

• Threads
• Newsletter sections
• Video scripts
• Tutorials
• Opinion posts
• Case studies


5️⃣ ADDITIONAL INSTRUCTIONS (CRITICAL)

You must:

• Avoid generic or vague pillars
• Avoid repeating similar ideas
• Ensure each pillar is clearly distinct
• Make the headlines interesting and valuable
• Ensure the framework works long-term
• Optimize ideas for audience curiosity and education
• Ensure the system supports both growth and authority

Headlines must feel:

• Fresh
• Insightful
• Strategic
• Worth clicking

Do NOT generate filler ideas.

Every headline should feel publishable.


6️⃣ FINAL QUALITY CHECK (BEFORE DELIVERING)

Verify that:

✓ Pillars are clear and distinct  
✓ Ideas are varied and useful  
✓ Headlines are engaging and curiosity-driven  
✓ The framework could support months of content  
✓ The output strengthens brand authority  
✓ No vague or generic content exists

The user should feel:

"This gives me a clear, repeatable system for creating content."

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

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^{AI SPOTLIGHT}
AI Adoption Is Increasing Workloads Instead of Reducing Them

Despite promises that artificial intelligence would streamline work and reduce burnout, new research suggests the opposite may be happening. A study by workforce analytics firm ActivTrak analyzing more than 163,000 employees across 1,100 organizations found that AI adoption is actually increasing workloads across nearly every measurable category. Email volume rose 104%, chat messaging increased 145%, and time spent in business tools climbed 94% after AI tools were introduced. Amazon employees echoed similar concerns, saying internal AI systems often require additional verification and corrections, ultimately adding more work rather than eliminating tasks. The deeper thesis: AI is currently being layered on top of existing workflows rather than replacing them, increasing overall output expectations without reducing employee workload.

Key Takeaways:

• Research shows AI adoption is increasing workloads across multiple job functions
• Workers report more emails, messaging, and tool usage after AI integration
• Companies appear to be using AI to drive higher output rather than reduce work demands

👉️ Read the full article here

^{AI QUICK HITS}

💰️ Engineers in Silicon Valley are starting to negotiate AI compute access as part of their compensation, with companies treating inference budgets and token usage as a new productivity resource alongside salary, bonuses, and equity.

⚡️ A U.S. startup has begun drilling a mile-deep underground nuclear reactor in Kansas, using a water column and surrounding bedrock to provide natural pressure and shielding—an approach that could cut nuclear plant construction costs by up to 80% while powering energy-hungry industries like AI data centers.

🍎 Apple’s new $599 MacBook Neo—powered by its iPhone-class A18 Pro chip—has shocked the PC industry by delivering strong everyday performance at a budget price, leveraging Apple’s vertical integration to pressure traditional laptop makers already struggling with rising component costs.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—68% were wrong!

Did you vote in the poll from March 11th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

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