^{AI MARKETPULSE}
Meta's AI Agent Ambitions Are Failing

Meta CEO Mark Zuckerberg reportedly told employees that the company's AI agents have not progressed as quickly as leadership expected, despite months of aggressive investment and organizational restructuring. Earlier this year, Meta laid off roughly 8,000 employees, reassigned another 7,000 to AI-focused teams, and has committed up to $145 billion toward AI infrastructure. Yet Zuckerberg acknowledged that the anticipated gains from those efforts have not yet materialized, while expressing confidence that improvements could emerge over the next three to six months. The comments arrive as investors increasingly question whether massive AI spending will translate into equally massive business returns.

Key Takeaways:

• Zuckerberg acknowledged that Meta's AI agent development has fallen behind the company's internal expectations despite major investments and workforce restructuring.

• Meta continues to spend aggressively on AI infrastructure, even as the business benefits from those investments have yet to fully materialize.

• The slowdown adds to growing concerns that the AI industry's unprecedented spending on chips, compute, and data centers may be running ahead of near-term customer demand and commercial returns.

👉️ Read the full article here

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^{AI SPOTLIGHT}
The Largest Proposed AI Data Center Project in the U.S. Has Officially Collapsed

Blackstone-owned QTS has abandoned plans to build the $100 billion Prince William Digital Gateway in Northern Virginia, ending what would have been the largest data center campus ever proposed. The 2,100-acre project, designed to house 37 data center buildings, was ultimately derailed after years of legal challenges and mounting local opposition over land use, energy demand, and environmental concerns. The decision comes just days after Blackstone sold a majority stake in three other Virginia data centers to Digital Realty, adding to questions about the pace and economics of the AI infrastructure boom. While Blackstone remains deeply invested in data centers globally, the collapse of the industry's most ambitious project highlights that scaling AI isn't just about building better models—it also depends on public support, available power, and sustainable demand for all of that new compute.

Key Takeaways:

• Blackstone's QTS officially abandoned its $100 billion Virginia data center project after years of legal setbacks and organized community opposition.

• The cancellation highlights growing obstacles to AI infrastructure expansion, including permitting challenges, power constraints, and increasing public resistance to large-scale data centers.

• At a time when companies are already looking to monetize excess compute capacity, the project's collapse adds another reason to question whether the industry's aggressive data center buildout is running ahead of long-term demand.

👉️ Read the full article here

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^{TODAY’S PROMPT}
Know If Your Side Hustle Is Worth Building Before You Waste Months

Most side hustles fail because people build first and validate later. This mega-prompt acts like a startup advisor, market researcher, pricing strategist, and skeptical investor—all at once—to stress-test your idea, identify weaknesses, estimate demand, and recommend a pricing strategy before you invest serious time or money.

👉️ See the example inputs and outputs here

Act as an experienced startup advisor, market researcher, pricing
strategist, and venture capitalist.

Your job is to evaluate a side hustle idea as objectively as possible.

Do not try to encourage me.

Do not assume the idea is good.

Instead, identify strengths, weaknesses, risks, pricing opportunities,
and the likelihood that customers would actually pay.

========================
INPUTS
========================

Side Hustle Idea
[Describe the business.]

Target Customer
[Who would buy it?]

Problem Being Solved
[What pain point does it solve?]

Current Solution
[How do people solve this today?]

Business Model
[Product, service, SaaS, newsletter, marketplace, etc.]

Expected Price
[What do you think you can charge?]

Unique Advantage
[Why is this different?]

Experience
[Your background or expertise.]

Budget
[Money available to launch.]

Time Available
[Hours per week.]

Goals
[Extra income, full-time business, passive income, etc.]

========================
OUTPUT
========================

Evaluate the idea using the following framework.

1. Executive Summary
Give your overall assessment in two paragraphs.

2. Problem Validation
• Is this a real problem?
• How painful is it?
• Who feels it most?

3. Market Potential
Estimate:
• Market size
• Demand level
• Competition
• Ease of customer acquisition

4. Competitive Analysis
Identify:
• Existing competitors
• Their strengths
• Their weaknesses
• Opportunities to differentiate

5. Pricing Strategy
Recommend:
• Best pricing model
• Suggested price range
• Premium opportunities
• Common pricing mistakes

6. SWOT Analysis
Provide:
• Strengths
• Weaknesses
• Opportunities
• Threats

7. Biggest Risks
List the five biggest reasons this business could fail.

8. Validation Plan
Recommend five inexpensive ways to validate demand before building.

9. First 90-Day Roadmap
Create a week-by-week action plan for launching.

10. Final Verdict

Provide:

• Success probability (1–10)
• Difficulty (1–10)
• Confidence level (1–10)

Then answer:

"Would you build this business if you were investing your own money?"

Explain your reasoning honestly.

Finally, list the three biggest assumptions behind your recommendation
and explain what evidence would change your conclusion.

If important information is missing, make the most reasonable
assumption and clearly identify it before beginning the analysis.

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^{AI QUICK HITS}

🤖 BMW is expanding its use of Figure humanoid robots at its South Carolina factory, where the latest generation is handling repetitive tasks as the automaker bets physical AI will become a core part of future manufacturing.

💾 Samsung is reportedly preparing another 20% DRAM price increase, extending the AI-driven memory shortage that's already pushing up the cost of everything from smartphones to gaming consoles.

🔒 Anthropic is tightening restrictions on Claude after reports that Chinese companies were using overseas subsidiaries, VPNs, and other workarounds to access its most advanced AI models.

🇨🇳 Alibaba is reportedly banning employees from using Claude Code, labeling Anthropic's coding assistant as high-risk software while directing staff to use the company's own AI coding tool instead.

👓 Meta is introducing a $19.99 monthly subscription for premium features on its AI smart glasses, adding recurring fees to hardware many customers already paid hundreds of dollars to own.

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🤔 ^{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—71% were wrong!

Did you vote in the poll from July 3rd? 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?

Summer's here. Larry handles calls, jobs, and memberships automatically.

Air Design used to spend hours every day manually calling their 600 members to schedule seasonal tune-ups.

They turned on Podium's AI Membership Coordinator. It contacted 471 members, booked 187 jobs, and generated $24,000 in revenue.

Across home services, the story repeats.

Magnolia Plumbing cut invoice-to-payment time to 6 minutes and saved 60 hours of admin work every month.

This is what Podium's AI Operating System does: phones answered, jobs booked, invoices collected — automatically, without adding headcount.

If your schedule isn't packed this summer, it can be.

See How It Works

^{AI MARKETPULSE}
Meta's New AI Cloud Plan Raises Fresh Questions About Compute Demand

After spending billions on AI infrastructure, Meta is reportedly preparing to sell access to its excess compute capacity and AI models through a new cloud business. The move mirrors a strategy already adopted by SpaceX, which has leased AI data center capacity to companies like Anthropic and Google. Rather than relying solely on its own AI products to justify massive infrastructure investments, Meta appears to be looking for outside customers to monetize its growing fleet of data centers. The shift comes as skepticism grows over whether AI companies can generate enough end-user demand to support the industry's unprecedented infrastructure spending.

Key Takeaways:

• Meta is reportedly planning to launch an AI cloud business that would sell compute capacity and hosted AI models to outside customers.

• The strategy follows similar moves by SpaceX and suggests owning AI infrastructure may become a business of its own—not just a way to power proprietary models.

• If major AI companies are seeking external buyers for excess compute, it could signal softer-than-expected demand for AI infrastructure, creating a potential headwind for the pace and economics of future data center expansion.

👉️ Read the full article here

Summer's here. Larry handles calls, jobs, and memberships automatically.

Air Design used to spend hours every day manually calling their 600 members to schedule seasonal tune-ups.

They turned on Podium's AI Membership Coordinator. It contacted 471 members, booked 187 jobs, and generated $24,000 in revenue.

Across home services, the story repeats.

Magnolia Plumbing cut invoice-to-payment time to 6 minutes and saved 60 hours of admin work every month.

This is what Podium's AI Operating System does: phones answered, jobs booked, invoices collected — automatically, without adding headcount.

If your schedule isn't packed this summer, it can be.

See How It Works

^{AI SPOTLIGHT}
Palantir CEO Goes Ballistic on CNBC

Palantir CEO Alex Karp is openly challenging the business model behind leading AI companies like OpenAI and Anthropic, arguing that enterprises are paying ever-increasing token fees while giving away valuable data and intellectual property. In a CNBC interview, Karp criticized what he called the industry's obsession with token-based pricing and warned that businesses should retain ownership of their models, data, and compute rather than relying entirely on third-party AI providers. His comments align with Palantir's broader push for "AI sovereignty," a strategy centered on helping organizations run AI while maintaining control over their own infrastructure and proprietary information. The debate comes as some companies increasingly explore lower-cost open-weight models in search of better economics.

Key Takeaways:

• Alex Karp argues that token-based AI pricing is becoming too expensive for enterprises and encourages dependence on third-party providers.

• Palantir is promoting an "AI sovereignty" approach that emphasizes customer ownership of data, models, and compute infrastructure.

• Rising AI costs are pushing some companies to evaluate open-weight models as a lower-cost alternative to proprietary frontier models.

👉️ Read the full article here

See what enterprise-ready AI support looks like

How are leading teams getting AI support to work? We're breaking down the playbook, live July 9.

Save your spot

^{TODAY’S PROMPT}
Pressure-Test Any AI Answer Before You Trust It

AI is great at producing confident answers—but confidence isn't the same as accuracy. This mega-prompt turns ChatGPT into its own fact-checker by forcing it to separate what it actually knows from what it's assuming, identify weak spots in its reasoning, and explain what could change its recommendation before giving you a final answer.

👉️ See the example inputs and outputs here

Act as an expert critical thinker, researcher, and decision analyst.

Before answering any question or making any recommendation, you must
explicitly separate facts from assumptions and evaluate your own
reasoning.

My request is:

[Insert your question, problem, or decision.]

Use the following framework before providing your recommendation.

========================
STEP 1: WHAT YOU KNOW
========================

List only information that is directly supported by reliable knowledge
or by the information I provided.

Label each item as:

• High Confidence
• Medium Confidence
• Low Confidence

========================
STEP 2: YOUR ASSUMPTIONS
========================

List every assumption you are making.

Explain:

• Why you made the assumption
• How likely it is to be true
• How the answer changes if the assumption is wrong

========================
STEP 3: WHAT COULD BE WRONG
========================

Identify possible flaws in your reasoning.

Include:

• Alternative explanations
• Missing information
• Different interpretations
• Situations where your advice would fail

========================
STEP 4: QUESTIONS THAT WOULD IMPROVE THE ANSWER
========================

Ask up to five clarifying questions that would significantly improve
the quality or accuracy of your recommendation.

If you must continue without answers, explain the limitations.

========================
STEP 5: FINAL RECOMMENDATION
========================

Now provide your best recommendation.

Include:

• Your reasoning
• Confidence level (1-10)
• Biggest risks
• Best next action
• Alternative option if your confidence is below 8

Finally, summarize everything in a simple table with these columns:

• What I Know
• What I Assumed
• What Could Be Wrong
• Recommended Next Step

Never hide uncertainty.

If evidence is weak, say so clearly.

If multiple reasonable answers exist, explain each one before making
your recommendation.

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• A structure to turn them into products

• A system to track buyers and revenue

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^{AI QUICK HITS}

🌱 Google’s latest sustainability report shows AI data centers drove a 37% increase in electricity use during 2025, pushing the company to double down on investments in nuclear, geothermal, and other clean energy sources as it tries to keep emissions in check.

💸 Companies are beginning to throttle employee AI usage as enterprise costs spiral, with internal reports showing some organizations restricting access to premium models after AI spending ballooned into the millions of dollars per month.

🖥️ Google’s Gemini Spark is now available on Mac, bringing its AI agent to the desktop with file access, real-time monitoring, and integrations with apps like Google Keep, Canva, Dropbox, Instacart, and OpenTable.

🏛️ OpenAI is reportedly discussing giving the U.S. government a 5% ownership stake ahead of a future IPO, reflecting growing political pressure for the public to share in AI’s economic upside as the industry continues to expand.

📱 Apple is reportedly negotiating to buy memory chips from two Chinese manufacturers for devices sold in China, highlighting how AI-driven component shortages are forcing even the world's largest tech companies to rethink their supply chains.

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🤔 ^{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—63% were right!

Did you vote in the poll from July 1st? 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 MARKETPULSE}
Companies Are Discovering AI Isn't Always Cheaper Than Humans

After a wave of AI-driven layoffs, many companies are reversing course as the real costs of automation become harder to ignore. A recent survey of 600 HR professionals found that while three out of four organizations eliminated roles because of AI, only 8.4% said the technology ultimately delivered the results they expected. Businesses cited rising compute costs, software licensing, integration expenses, ongoing human oversight, and inconsistent output as reasons for bringing employees back. Even major companies like IBM and Nvidia are emphasizing AI as a tool to augment workers rather than replace them, with IBM expanding entry-level hiring and Nvidia noting that compute costs can exceed employee costs.

Key Takeaways:

• A growing number of companies are rehiring workers after AI deployments failed to deliver the expected cost savings or performance.

• Hidden expenses—including infrastructure, licensing, cybersecurity, and quality control—are making AI more expensive than many businesses anticipated.

• Employers are increasingly viewing AI as a productivity tool that complements human expertise instead of a wholesale replacement for skilled workers.

👉️ Read the full article here

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When accounting is reactive, updated only when there's time and reviewed annually during tax season, you lose visibility exactly when you need it most. You can't tell which clients or services are truly profitable. You can't spot a cash flow problem before it becomes a crisis. And you can't make confident growth decisions on incomplete data.

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^{AI SPOTLIGHT}
New Research Challenges the Narrative That AI Is Killing Entry-Level Jobs

A new report from Ramp and Revelio Labs suggests the relationship between AI and hiring may be more complicated than many headlines imply. Analyzing nearly 22,000 companies, the researchers found that businesses making sustained investments in AI grew their overall headcount by 10.2%, while entry-level hiring increased by 12% among the highest AI adopters. Job growth also extended across engineering, sales, marketing, finance, customer service, and administrative roles. The findings come with an important caveat: these companies were largely fast-growing, tech-forward businesses that may have been expanding regardless, making it difficult to prove AI alone drove the hiring.

Key Takeaways:

• Companies making significant, sustained investments in AI saw overall hiring increase by 10.2%, including a 12% rise in entry-level roles.

• The strongest hiring gains were concentrated in fast-growing technology and knowledge-work companies that were already well positioned to scale.

• The report suggests AI adoption alone isn't enough—companies that integrate AI strategically appear more likely to expand than those simply experimenting with new tools.

👉️ Read the full article here

Trade What BTC Does Next — Not Just Whether You Own It

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_{Trade responsibly.}

^{TODAY’S PROMPT}
Build a High-Converting Sales Landing Page in One Prompt

Whether you're launching a product, selling a service, or growing your email list, a great landing page can make all the difference. This mega-prompt acts like an elite conversion copywriter and landing page strategist, turning a few details about your offer into a complete sales page with persuasive copy, strategic page structure, and optimized calls-to-action that are designed to convert visitors into customers.

👉️ See the example inputs and outputs here

Act as an elite direct-response copywriter, conversion rate optimization
(CRO) strategist, UX designer, and landing page expert.

Your objective is to create a complete, high-converting sales landing
page that persuades visitors to take action.

Use proven copywriting frameworks, buyer psychology, clear messaging,
strong storytelling, and modern landing page best practices.

========================
INPUTS
========================

Offer
[Describe what you're selling.]

Target Audience
[Who is your ideal customer?]

Primary Goal
[Purchase, book a call, subscribe, download, join a waitlist, etc.]

Biggest Pain Points
[List the main frustrations your audience has.]

Desired Outcome
[What transformation or result do they want?]

Key Features
[List the features of your product or service.]

Key Benefits
[List the benefits customers receive.]

Social Proof
[Testimonials, customer numbers, case studies, logos, reviews, etc.]

Guarantee
[Money-back guarantee, refund policy, warranty, etc.]

Offer Details
[Pricing, bonuses, discounts, deadlines, payment plans.]

Brand Voice
[Professional, premium, conversational, humorous, bold, etc.]

Call-to-Action
[Exactly what action should the visitor take?]

========================
OUTPUT
========================

Create the landing page using the following structure.

1. Hero Section
• Attention-grabbing headline
• Supporting subheadline
• Primary CTA
• Trust indicators

2. Problem Section
• Explain the audience's biggest frustrations.
• Build emotional connection.

3. Solution Section
• Introduce the offer.
• Explain why it's different.

4. Benefits Section
• Focus on outcomes and transformation.
• Explain why each benefit matters.

5. Features Section
• Present each feature with a short explanation.

6. Social Proof Section
• Recommend testimonial placement.
• Suggest trust-building elements.

7. Offer Section
• Pricing presentation
• Bonuses
• Guarantee
• Urgency or scarcity if appropriate

8. Frequently Asked Questions
Write 8-10 common objections with persuasive answers.

9. Final CTA Section
Reinforce the value proposition and create a compelling final call to
action.

10. Design Recommendations
Recommend:
• Overall page layout
• Section order
• Button placement
• Color direction
• Images or graphics
• Visual hierarchy
• Mobile optimization suggestions

Finally, review the entire landing page as a senior conversion
optimization expert.

Identify weak areas, improve them, strengthen headlines, eliminate
unnecessary wording, and maximize conversion potential before presenting
the final version.

If any information is missing, make the most reasonable assumption and
briefly state it before generating the page.

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What’s next is almost here.

On July 16th at 1PM ET, beehiiv is going live with a look at the future of publishing, audience growth, and digital business.

What started as a newsletter platform has evolved into something much bigger: a place where creators and brands can grow, monetize, and own their audiences without stitching together half the internet to make it work.

The next chapter starts live at the Summer Release Event. 

Join us to see what’s coming next.

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^{AI QUICK HITS}

🖥️ Blackstone’s $3.5 billion Virginia data center sale is raising fresh questions about whether AI infrastructure growth could face a new bottleneck as community opposition to massive data center projects continues to grow.

🤖 Anthropic’s Claude Sonnet 5 brings stronger AI agent capabilities at a significantly lower price, signaling that the next phase of the AI race may be won on cost and reliability—not just raw performance.

💾 AI demand is driving another memory crunch, with analysts expecting RAM prices to jump 40–50% this quarter and continue climbing into 2027 as AI data centers consume more of the world's chip supply.

☁️ Meta reportedly relied on Google’s Gemini models for customer service, coding, ad tools, and content moderation before Google hit capacity limits, highlighting how even AI giants still depend on each other's infrastructure.

🧠 Some bosses are letting ChatGPT make management decisions, with a new report describing executives using AI to decide hiring, firing, and company strategy—raising concerns about overreliance on chatbots in the workplace.

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🤔 ^{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—62% were wrong!

Did you vote in the poll from June 29th? 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?

We ranked 2,800 3PLs. Here are the top 100.

Every 3PL says they're the best. So we did the work. We ranked the top 100 in the country on the things that actually break or save a brand: peak season, accuracy, real support. Find out who made it, and whether your current one should have.

See the list

^{AI MARKETPULSE}
Big Tech's AI Spending Is Starting to Push Up Prices Across the Economy

The race to build AI is becoming a massive infrastructure project, and the costs are beginning to ripple far beyond the tech industry. Economists estimate AI-related infrastructure spending could reach $8 trillion by 2032, while Alphabet, Amazon, Meta, Microsoft, and Oracle alone are expected to spend $741 billion on AI infrastructure this year. That surge in demand is driving up prices for semiconductors, memory, electricity, construction, and skilled labor—the same resources used to build consumer products like smartphones, gaming consoles, and cars. Consumer prices for computer software and accessories have already climbed 15% over the past year, while wholesale electronic component prices are up 27%.

Key Takeaways:

• AI infrastructure spending is projected to reach roughly $8 trillion by 2032, creating unprecedented demand for chips, power, and data centers.

• Hardware shortages and rising component costs are contributing to higher prices for consumer electronics, vehicles, and other products that rely on the same supply chains.

• While AI could eventually improve productivity and lower costs, economists expect the ongoing infrastructure build-out to keep inflation elevated in the near term.

👉️ Read the full article here

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^{AI SPOTLIGHT}
Asian AI Startups Are Seizing an Opportunity Created by U.S. Export Restrictions

As U.S. export restrictions continue blocking Anthropic's most advanced AI models from many international markets, Asian startups are moving quickly to fill the gap. Japan's Sakana AI has launched Fugu, an orchestration model it says rivals Anthropic's Fable 5 and Mythos while specifically marketing itself as free from export-control risk. Meanwhile, China's 360 introduced Tulongfeng, a cybersecurity-focused AI model positioned as a domestic alternative for vulnerability detection and cyber defense. The launches highlight how regional AI companies are capitalizing on uncertainty by offering locally built models tailored to their own markets. .

Key Takeaways:

• Japan's Sakana AI and China's 360 both launched advanced AI models positioned as alternatives to Anthropic's restricted systems.

• Sakana is marketing Fugu as a frontier AI model without the risk of U.S. export controls while emphasizing orchestration across multiple AI models.

• The longer export restrictions remain in place, the greater the chance local AI providers strengthen their position in markets U.S. companies once dominated.

👉️ Read the full article here

Here’s to your teen’s next big step

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^{TODAY’S PROMPT}
AI Time-Audit & Leverage Finder

This mega-prompt acts like a productivity consultant and AI workflow strategist, helping you uncover exactly where your time is going and where AI can immediately take work off your plate. It builds a personalized action plan that identifies your biggest time drains, recommends the best AI solutions, and prioritizes the highest-leverage automations so you can reclaim hours every single week.

👉️ See the example inputs and outputs here

Act as an expert productivity consultant, AI workflow strategist,
and business operations analyst.

Your job is to perform a complete audit of how I spend my time and
identify exactly where AI can eliminate busywork, automate repetitive
tasks, and help me reclaim hours every week.

Your goal is not just to recommend AI tools. Your goal is to build
a practical action plan that delivers the highest return on my time
with the least amount of effort.

────────────────────────
ABOUT ME
────────────────────────

Role:
[Your role]

Industry:
[Your industry]

Business:
[Describe what your business does]

Primary goals:
[List your top goals]

Team size:
[Solo / Employees / Contractors]

Experience using AI:
[Beginner / Intermediate / Advanced]

────────────────────────
MY CURRENT WORKWEEK
────────────────────────

I typically work:
[Hours per week]

Describe a normal workday:

[Describe your daily routine]

Recurring weekly tasks:

[List every recurring task]

Tasks I enjoy:

[List]

Tasks I dislike:

[List]

Tasks that consume the most time:

[List]

Tasks I procrastinate on:

[List]

Tasks that require the most mental energy:

[List]

Tasks I wish someone else could do:

[List]

────────────────────────
CURRENT TOOLS
────────────────────────

AI tools I currently use:

[List]

Software I use every day:

[List]

Automations I already have:

[List]

────────────────────────
OUTPUT
────────────────────────

Create a personalized AI Time Audit with the following sections.

1. Executive Summary

Provide:

• Overall productivity assessment
• Biggest opportunities for improvement
• Estimated hours I could save each week
• Biggest bottlenecks slowing me down

2. Time Drain Analysis

Rank my biggest time wasters from highest to lowest.

For each task include:

• Estimated hours per week
• Why it consumes so much time
• Whether it should be:
  - Eliminated
  - Automated
  - Delegated
  - Simplified
  - Kept as-is

3. AI Leverage Opportunities

For every major task recommend:

• The best AI solution
• Which AI tool would work best
• A simple workflow I can implement
• Estimated weekly time savings
• Difficulty (Easy / Medium / Hard)

4. Quick Wins

Recommend at least 10 improvements I can implement in
30 minutes or less.

Focus on changes that produce immediate time savings.

5. High-Leverage Automation Projects

Recommend the five AI projects that would create the biggest
long-term impact.

For each project include:

• Why it matters
• Expected setup time
• Difficulty
• Estimated weekly hours saved
• Priority score from 1–10

6. Weekly AI Workflow

Create an ideal weekly workflow showing:

• What I should continue doing myself
• What AI should assist with
• What should be fully automated

Organize this into a Monday–Friday schedule.

7. 30-Day Implementation Plan

Break everything into four weekly phases.

Week 1

Week 2

Week 3

Week 4

Prioritize the easiest wins first before introducing more
advanced automations.

8. AI Tool Recommendations

Recommend the best AI tools for my specific workflow.

For each tool explain:

• What problem it solves
• Why you selected it
• Whether there is a free version
• Who should use it

9. Final Action Plan

Finish with:

• The first three actions I should take today
• The single biggest productivity improvement
• The automation with the highest ROI
• My estimated weekly time savings after implementing
  everything
• The biggest risk if I keep working the same way

Be specific.

Avoid generic productivity advice.

Tailor every recommendation to my role, business, and goals.

If any information is missing, make the most reasonable
assumption, clearly state it, and then continue creating
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 QUICK HITS}

🧪 Scientists have identified cannabis-derived terpenes that relieved chronic pain in preclinical studies without producing the psychoactive effects of THC, potentially opening the door to new treatments for fibromyalgia and post-surgical pain.

📉 New research from Stanford and ADP suggests AI is increasingly replacing entry-level workplace tasks, with employment for workers ages 22–25 in highly AI-exposed jobs now shrinking by nearly 4% annually while less AI-exposed roles continue to grow.

🎲 U.S. regulators are reportedly investigating prediction market platform Polymarket over its promotional practices, signaling that even as prediction markets gain mainstream attention, increased regulatory scrutiny is likely to follow.

💳 India's digital payments chief says AI will power the next phase of UPI growth by improving fraud detection, expanding multilingual voice interfaces, and helping extend credit to more users and merchants.

💾 Apple is reportedly lobbying the Trump administration for permission to source memory chips from Chinese manufacturer CXMT as soaring AI-driven chip prices continue to pressure consumer electronics costs.

^{AI TOOL STACK}

🔧 Outrank: AI SEO and content optimization tool for marketers

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🔧 Laxis: Captures notes and organizes insights by topics.

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🔧 Cursor: AI code editor with natural language coding capabilities

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

👉 Explore the brand new Tool Database

🤔 ^{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—62% were right!

Did you vote in the poll from June 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 best prompt engineers aren't typing. They're talking.

Power users figured this out early: speaking a prompt gives you 10x more context in half the time. You include the edge cases, the examples, the tone you want — because talking is fast enough that you don't skip them.

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^{AI MARKETPULSE}
AI's Infrastructure Boom Is Starting to Show Up in Consumer Prices

The massive buildout of AI infrastructure is beginning to ripple through the broader economy, with companies warning that surging demand for memory, storage, electricity, and other critical components is driving up costs. Apple recently raised Mac and iPad prices by 15% to 25%, with CEO Tim Cook calling the jump "unlike anything" he has seen in more than 40 years, citing unprecedented demand fueled by AI data centers. Analysts estimate hyperscalers including Amazon, Microsoft, Meta, Alphabet, and Oracle will spend roughly $741 billion on AI infrastructure this year alone—a nearly 75% increase from last year. Economists now expect the AI buildout to create near-term inflationary pressure as demand outpaces supply for chips, power, construction materials, and skilled labor, even though many still believe AI will ultimately reduce costs through productivity gains.

Key Takeaways:

• AI infrastructure spending is driving up the cost of memory, storage, electricity, and other components used throughout the economy.

• Consumer electronics companies, including Apple, Microsoft, Sony, and Nintendo, have already begun raising prices as AI-related demand strains supply chains.

• While AI could eventually become a long-term deflationary force through higher productivity, many economists expect it to create meaningful inflationary pressure over the next several years as the infrastructure race accelerates.

👉️ Read the full article here

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^{AI SPOTLIGHT}
AI Data Center Moratorium Act Introduced by AOC & Sanders

Sen. Bernie Sanders and Rep. Alexandria Ocasio-Cortez have introduced the AI Data Center Moratorium Act, a bill that would halt construction of new large-scale AI data centers until Congress passes broader AI regulations. The proposal would require federal review of advanced AI systems before release, stronger protections against job displacement, proof that new facilities won't raise consumer utility costs, and greater local control over approving projects. It would also require quarterly public reports tracking data center energy use, water consumption, greenhouse gas emissions, wastewater, and noise levels. While the bill faces long odds in Congress, it reflects growing political pressure around AI infrastructure as communities across the country push back against the rapid expansion of energy-hungry data centers.

Key Takeaways:

• The proposed legislation would pause construction of new large-scale AI data centers until additional federal AI regulations are enacted.

• The bill would require greater transparency around data centers' environmental impact, energy use, and local community approval.

• Even if the legislation doesn't pass, it signals that AI infrastructure is becoming a major policy battleground at the federal, state, and local levels.

👉️ Read the full article here

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^{TODAY’S PROMPT}
Build an Audience That Grows Itself

This mega-prompt acts like a growth strategist, turning your content, newsletter, and social channels into one connected audience growth system. Instead of treating every platform separately, it builds a repeatable flywheel where every post, email, and call-to-action feeds the next piece of content—helping you grow faster without constantly starting from scratch.

👉️ See the example inputs and outputs here

Act as a world-class audience growth strategist who specializes in
content marketing, newsletters, social media, and creator businesses.

Your job is to design a complete Audience Growth Flywheel that
turns every piece of content into multiple opportunities to attract,
engage, and convert new followers into loyal subscribers.

## INPUTS

Business/Niche:
[Describe your business]

Target Audience:
[Who are you trying to reach?]

Primary Goal:
[Grow newsletter, increase followers, generate leads, sell products,
build authority, etc.]

Current Platforms:
[List the platforms you currently use]

Publishing Frequency:
[How often you publish on each platform]

Lead Magnet (if any):
[Newsletter, ebook, checklist, course, etc.]

Call-to-Action:
[What action do you ultimately want people to take?]

Challenges:
[Current growth obstacles]

## OUTPUT

Create a complete Audience Growth Flywheel with the following sections:

1. Flywheel Overview
   Explain how each platform feeds the others in one continuous growth
   loop.

2. Platform Strategy
   For every platform, explain:

* Its primary role
* What content should be published
* How it drives traffic to the next platform

3. Weekly Content Plan
   Create a weekly publishing schedule showing what should be posted
   each day.

4. CTA Strategy
   Recommend the best calls-to-action for every platform and where they
   should lead.

5. Repurposing Workflow
   Show how one newsletter can become multiple social posts, videos,
   threads, or emails.

6. Subscriber Growth System
   Recommend tactics for increasing newsletter subscribers consistently.

7. Engagement Strategy
   Explain how to encourage comments, replies, shares, and repeat visits.

8. Monthly Optimization Plan
   Identify the most important metrics to track and explain how to
   improve the flywheel over time.

9. 30-Day Action Plan
   Provide a prioritized implementation roadmap with weekly milestones.

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

Your competitor just replied. You're still typing.

A lead comes in on Instagram. Another on Messenger. Three more on SMS.

Your team switches tabs, repeats answers, and loses context while hot leads wait hours for replies. At 2am, nobody responds at all.

That’s not a people problem. It’s a process problem.

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^{AI QUICK HITS}

🛡️ OpenAI will reportedly give only a small group of partners early access to GPT-5.6 after the White House asked the company to slow its rollout while federal officials evaluate potential safety and cybersecurity risks.

🎮 Microsoft is raising Xbox console prices by as much as $150, saying soaring memory and storage costs—driven in part by AI infrastructure demand—are making everyday consumer electronics more expensive.

🏗️ Kevin O'Leary has walked back earlier claims that opponents of his Utah AI data center project were funded by the Chinese government, saying he now has "no evidence" to support those allegations.

⚖️ Big Tech companies have been hit with roughly $3.5 billion in AI-related fines since 2022, with most penalties tied to using personal data to train AI models without proper user consent.

🚗 Ford says it had to bring back veteran engineers after discovering its automated systems couldn't replace decades of institutional knowledge, underscoring that AI still works best alongside experienced human expertise.

^{AI TOOL STACK}

🔧 Castmagic: The fastest way to automate your content workflow with AI.

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

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🤔 ^{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 June 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?

From idea to shipped tool in 11 minutes.

Type the problem in Slack. Viktor writes the code, deploys to your subdomain, posts the URL, and starts using it on your next request. No specs, no Jira, no kickoff. Founders are running entire companies this way.

Get Started for Free

^{AI MARKETPULSE}
OpenAI's IPO Delay Raises New Questions About the AI Hype Cycle

OpenAI is reportedly pushing back its IPO ambitions until 2027 after previously targeting a public debut much sooner, according to reports. While some observers have pointed to market conditions and the recent performance of other high-profile IPOs like SpaceX, the bigger issue may be far simpler: investors are beginning to demand sustainable businesses instead of ever-larger AI valuations. OpenAI continues to spend aggressively on data centers, compute, talent, and new products while facing growing competition from Anthropic, Google, and increasingly capable lower-cost open models.

Key Takeaways:

• OpenAI is reportedly delaying its IPO, suggesting management believes market conditions may not support its valuation goals today.

• Investors are becoming more focused on profitability, sustainable growth, and competitive pressure instead of AI hype alone.

• If AI companies can't translate enormous infrastructure spending into durable cash flow, the next phase of the industry will likely reward execution—not headlines.

👉️ Read the full article here

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^{AI SPOTLIGHT}
Data Centers Are Becoming a Political Liability

The AI infrastructure boom is beginning to reshape elections. In Utah, State Senate President J. Stuart Adams and multiple local officials lost Republican primary races after backing the proposed Stratos data center project, a massive development that critics say could consume enormous amounts of electricity and strain local resources. Similar political battles have emerged in Oregon, Virginia, Missouri, Michigan, Texas, and Florida as voters increasingly connect AI data centers with rising energy bills, water use, and taxpayer subsidies.

Key Takeaways:

• Multiple elected officials have lost elections after supporting controversial AI data center projects.

• Growing concerns over electricity costs, water consumption, and tax incentives are fueling bipartisan opposition to new data center developments.

• As AI demand accelerates, companies may face increasing political and regulatory hurdles when expanding the infrastructure needed to power future AI systems.

👉️ Read the full article here

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^{TODAY’S PROMPT}
Never Wonder What to Post Again

Coming up with fresh content ideas every day is one of the biggest time drains for creators. This mega-prompt acts like a professional content strategist, turning a simple niche into a complete 30-day content calendar packed with engaging post ideas, hooks, formats, and calls to action so you can spend less time brainstorming and more time creating.

👉️ See the example inputs and outputs here

Act as a world-class content strategist and audience growth expert.

Your task is to create a complete 30-day content calendar
for my business or personal brand.

Your goal is to eliminate writer's block while creating
content that educates, entertains, builds trust, and
encourages engagement.

## INPUTS

Niche:
[Niche]

Target Audience:
[Target Audience]

Primary Goal:
(Grow followers, generate leads, sell products,
build authority, etc.)
[Primary Goal]

Primary Platforms:
(LinkedIn, Instagram, X, YouTube,
TikTok, Newsletter, etc.)
[Platforms]

Brand Voice:
(Friendly, educational, humorous,
bold, analytical, etc.)
[Brand Voice]

Products or Services:
[Products or Services]

Topics to Avoid:
[Topics to Avoid]

## YOUR TASK

Create a complete 30-day content calendar.

For each day include:

• Content Title
• Attention-grabbing Hook
• Recommended Format
  (Post, Carousel, Thread, Reel,
   Video, Newsletter, etc.)
• Content Outline
• Engagement Question
• Call to Action
• Why This Topic Will Perform Well

Make every day's idea unique.

Include a balanced mix of:

• Educational content
• Storytelling
• Personal experiences
• Industry trends
• Common mistakes
• Myths to debunk
• Step-by-step tutorials
• Opinion posts
• Case studies
• Behind-the-scenes content
• Frequently asked questions
• Promotional posts
• Community engagement

Avoid repeating topics or angles.

Format everything as:

Day 1
Day 2
Day 3

...

Day 30

After the calendar, provide:

1. The 5 ideas with the highest viral potential.

2. Five bonus content ideas for future months.

3. Three recurring weekly content series
   I could publish long-term.

If any information is missing,
make the most reasonable assumption
and briefly state it before creating
the calendar.

⚡️ 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 already have a take on which AI lab ships next.

Claude or Gemini? OpenAI or Anthropic? GPT-7 before year-end or not? If you read tech newsletters, you've already formed opinions on all of it.

Kalshi has real-money markets on which AI model leads benchmarks this week, which lab ships AGI first, when Anthropic releases Mythos, whether OpenAI raises ChatGPT pricing, and which company has the best coding model at year-end. These aren't abstract questions — they're live markets with real money on both sides, moving as labs ship, benchmarks drop, and announcements land.

The edge belongs to whoever actually follows this space. Not the casual observer — the person who reads model cards, tracks evals, and notices when a new release outperforms the field before the mainstream press catches up.

That person has a genuine edge. If that's you, Kalshi lets you act on it.

Trade the model race

^{AI QUICK HITS}

🔧 Qualcomm is building China-specific AI data center chips that comply with U.S. export restrictions, showing how chipmakers are finding new ways to compete for one of the world's biggest AI markets.

🎯 Meta is reportedly developing Arena, an experimental prediction market app where users earn points for making accurate forecasts, signaling that social platforms are betting prediction markets could become mainstream.

🤖 JD.com founder Richard Liu says robots will eventually replace the company's 700,000 delivery workers, while the retailer is already partnering with schools to retrain employees for robot maintenance and other new roles.

🔐 Anthropic's powerful Mythos AI model reportedly identified vulnerabilities in classified U.S. government systems within hours during testing, highlighting both AI's growing cybersecurity potential and the debate over how advanced models should be regulated.

💼 Oracle cut 21,000 employees over the past year, saying AI automation replaced some roles while the company redirected billions toward building the infrastructure needed to compete in the AI race.

^{AI TOOL STACK}

🔧 Browse AI: The easiest way to extract and monitor data from any website.

🔧 ManyChat: More comments. More convos. More cash.

🔧 AI Script Generator: Transform Novels into Professional Comic Scripts

🔧 Soona: Creative at scale for brands with standards.

🔧 Calk AI: Automate your workwith AI agents

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

👉 Explore the brand new Tool Database

🤔 ^{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—65% were right!

Did you vote in the poll from June 24th? 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?

10x the context. Half the time.

Speak your prompts into ChatGPT or Claude and get detailed, paste-ready input that actually gives you useful output. Wispr Flow captures what you'd cut when typing. Free on Mac, Windows, and iPhone.

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^{AI MARKETPULSE}
AI Companies Are Becoming Major Players in U.S. Elections

Political groups linked to leading AI companies are rapidly emerging as some of the biggest spenders in the 2026 U.S. midterm elections. According to reporting from the Los Angeles Times, AI-connected super PACs have already spent roughly $37 million backing candidates across both political parties, with OpenAI- and Anthropic-linked groups funding Republicans and Democrats alike. The spending is becoming so significant that, in some races, outside AI-affiliated groups are reportedly spending more than the candidates themselves. Critics argue that this level of influence can make it nearly impossible for grassroots candidates to compete, particularly those advocating for stronger AI regulation or restrictions on AI infrastructure development.

Key Takeaways:

• AI-linked political action committees have already spent an estimated $37 million in the 2026 election cycle

• OpenAI- and Anthropic-affiliated groups are funding candidates on both sides of the political aisle

• Growing AI industry spending could significantly influence future regulation, infrastructure policy, and the competitive landscape for AI development

👉️ Read the full article here

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The Galaxy A17 5G is built for longevity and smart performance. It is the first in its class to offer six years of guaranteed OS and security updates. Helpful AI tools like Circle to Search and Gemini, bring flagship level-convenience to an accessible price point.
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^{AI SPOTLIGHT}
China's LineShine Supercomputer Just Reclaimed the World's Top Spot

China has taken back the top position in global supercomputing after its new LineShine system debuted at number one on the latest Top500 rankings, surpassing the U.S. machine El Capitan. Located at China's National Supercomputing Center in Shenzhen, LineShine achieved 2.198 exaflops—more than 2 quintillion calculations per second—making it the fastest publicly verified supercomputer in the world. Unlike many modern AI-focused systems, LineShine runs entirely on traditional CPUs rather than GPUs, making its performance even more notable. The ranking marks the first time since 2017 that a Chinese machine has led the list, which is often viewed as a symbol of national technological strength.

Key Takeaways:

• China's LineShine supercomputer achieved 2.198 exaflops and now ranks as the fastest publicly verified supercomputer in the world

• The U.S.-based El Capitan system dropped to second place after leading previous rankings

• Governments across China, the U.S., and Europe are investing heavily in next-generation supercomputing infrastructure to support AI, scientific research, and national competitiveness

👉️ Read the full article here

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^{TODAY’S PROMPT}
Make Smarter Decisions With AI

This mega-prompt acts like a strategic decision partner, helping you evaluate a tough choice from logical, emotional, and financial angles. It turns your situation into a clear decision framework so you can see the tradeoffs, risks, and best next step before you act.

👉️ See the example inputs and outputs here

Act as an expert decision strategist, behavioral analyst, 
and financial planning advisor.

Your job is to help me think through a complex decision 
clearly, logically, emotionally, and financially.

Use the information below:

Decision:
[Describe the decision I need to make]

Option A:
[Describe the first option]

Option B:
[Describe the second option]

Optional Additional Options:
[Describe any other options, or write "none"]

My Main Goal:
[What outcome matters most to me]

My Current Situation:
[Relevant context about my work, life, money, timing, 
constraints, or responsibilities]

Emotional Factors:
[What I feel excited, worried, afraid, or conflicted about]

Financial Factors:
[Costs, income impact, savings, risk, upside, or budget concerns]

Timeline:
[When I need to decide]

Risk Tolerance:
[Low, medium, or high]

Create a decision-making framework with these sections:

1. Clear summary of the decision
2. Logical pros and cons of each option
3. Emotional pros and cons of each option
4. Financial upside and downside of each option
5. Hidden risks I may be underestimating
6. Opportunities I may be overlooking
7. Best-case, worst-case, and most likely outcome
8. A weighted decision score for each option
9. The option you recommend and why
10. One small next step I should take before fully committing

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

Meta prediction market app called Arena, betting that forecasting events through AI-powered social participation could become a major new category of online engagement.

^{AI TOOL STACK}

🔧 AdCreative: #1 most used AI tool for advertising.

🔧 Sydium: Paste your website. We'll clone your voice.

🔧 WhatConverts: AI tracks lead sources to improve ad performance.

🔧 Logome: Design your stunning brand logo with AI.

🔧 Vidocu: Turn any video into professional content.

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

👉 Explore the brand new Tool Database

🤔 ^{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 June 22nd? 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?

10x the context. Half the time.

Speak your prompts into ChatGPT or Claude and get detailed, paste-ready input that actually gives you useful output. Wispr Flow captures what you'd cut when typing. Free on Mac, Windows, and iPhone.

Try Wispr Flow free

^{AI MARKETPULSE}
Pew Research Finds Americans Are Using AI More While Trusting It Less

A new Pew Research survey found a striking disconnect between AI adoption and public sentiment. Nearly half of U.S. adults (49%) now use AI chatbots like ChatGPT, up from 33% in 2024, and one-quarter report using them daily. Yet only 16% believe AI will have a positive impact on society, while 40% expect it to have a negative effect. The skepticism is especially pronounced among younger adults: Gen Z reported the highest chatbot usage rates but was also the most likely generation to view AI negatively. The findings suggest that familiarity with AI is not necessarily translating into optimism about its future.

Key Takeaways:

• AI chatbot usage among U.S. adults rose from 33% in 2024 to 49% in 2026, with 25% using them daily

• Only 16% of Americans believe AI will have a positive impact on society, while 40% expect negative consequences

• Gen Z is both the heaviest user of AI tools and the most skeptical about AI's broader societal impact

👉️ Read the full article here

Where to Invest $100,000 Right Now, According to Experts

Investors face a dilemma. When the S&P 500 finished its worst quarter since 2022 last month, diversifiers like bonds and bitcoin fell too.

Even with the turnaround in mid-April, analysts at Goldman Sachs and Vanguard have projected low-single-digit annualized returns from 2024-2034.

Bloomberg asked where experts would personally invest $100,000 for their March monthly edition.

One answer that surfaced for a second time? Art.

It's what billionaires like Bezos and the Rockefellers have privately used to diversify for decades.

Why?

1. Appreciation. The ArtPrice100 Index outpaced the S&P 500 overall from 2000 to 2025

2. Low-correlation. The postwar contemporary segment has moved independently of traditional investments like stocks since ‘95.*

3. Resilience. A scarce, physical, and global asset class with decades of demonstrated demand.

Thanks to the world's premier art investing platform, now anyone can invest in works featuring legends like Banksy, Basquiat, and Picasso, without needing millions.

Shares in new offerings can sell quickly but...

Our subscribers skip their waitlist*

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

^{AI SPOTLIGHT}
GLM-5.2 Is Raising New Questions About America's AI Lead

A new open-source AI model from Chinese startup z.AI is generating the kind of attention Silicon Valley hasn't seen since DeepSeek's breakthrough moment. Called GLM-5.2, the model is designed for long-form coding and agentic workflows and reportedly supports a 1 million token context window, putting it in the same conversation as leading models from OpenAI and Anthropic. What has caught the industry's attention isn't just the technical specs—it's the reaction from prominent developers and executives, many of whom are calling it the first open model capable of replacing their daily AI workflow. Like DeepSeek before it, GLM-5.2 is freely available and can be deployed inside a company's own systems.

Key Takeaways:

• GLM-5.2 is an open-source Chinese AI model built for coding and agentic tasks with a reported 1 million token context window

• Silicon Valley leaders have praised the model's performance, with some calling it the first open model capable of serving as a daily AI assistant

• The model adds to growing concerns that China's open-source AI ecosystem is closing the gap with leading U.S. AI companies

👉️ Read the full article here

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}
Build Your Personal AI Operating System

This mega-prompt acts like an AI systems architect, turning your goals, responsibilities, and daily workflows into a fully customized AI Operating System. It builds a complete framework for managing tasks, decisions, planning, learning, and execution so you can operate with more clarity, consistency, and leverage every day.

👉️ See the example inputs and outputs here

Act as a world-class productivity strategist, systems thinker,
chief of staff, executive coach, and AI workflow architect.

Your job is to design a complete Personal AI Operating System
(AI OS) customized for me.

The goal is to create a practical system that helps me manage:

• Daily tasks
• Weekly planning
• Decision-making
• Goal execution
• Knowledge management
• Learning
• Personal growth
• Business and career priorities
• AI-assisted workflows

INPUTS

Personal Background:
[Who I Am]

Current Role:
[Job / Business / Responsibilities]

Primary Goals:
[Top 3-5 Goals]

Biggest Challenges:
[Current Frustrations or Bottlenecks]

Work Style:
[How I Prefer to Work]

Available Time:
[Hours Available Per Day/Week]

Tools I Currently Use:
[Apps, Software, Systems]

Areas of Life I Want Included:
[Work, Health, Family, Finances, Learning, etc.]

OUTPUT

Build my Personal AI Operating System using the following
sections:

1. Executive Summary
   • Explain how the system works
   • Explain why it fits my situation

2. Core Operating Principles
   • 5-10 rules that guide decisions
   • Personal productivity philosophy
   • Prioritization framework

3. Daily Operating System
   • Morning planning process
   • Midday review process
   • End-of-day shutdown process
   • AI prompts to use at each stage

4. Weekly Operating System
   • Weekly review framework
   • Weekly planning framework
   • AI-assisted prioritization process

5. Decision-Making System
   • Framework for evaluating opportunities
   • Framework for evaluating commitments
   • Framework for avoiding distractions
   • AI prompts for major decisions

6. Goal Execution System
   • How goals are tracked
   • How projects are broken down
   • How progress is measured
   • AI workflows for staying on track

7. Knowledge Management System
   • How information is captured
   • How information is organized
   • How information is retrieved
   • AI workflows for learning faster

8. AI Command Center
   • 20 custom prompts I should use regularly
   • Categorize prompts by purpose
   • Explain when to use each one

9. Automation Opportunities
   • Repetitive tasks AI can handle
   • Decisions AI can assist with
   • Workflows that can be automated

10. 30-Day Implementation Plan
    • Week 1 actions
    • Week 2 actions
    • Week 3 actions
    • Week 4 actions

11. Personal Dashboard
    • Key metrics to track
    • Weekly scorecard
    • Warning signs the system is failing

Requirements:

• Make the system practical and realistic
• Optimize for simplicity over complexity
• Recommend only what I can actually maintain
• Prioritize high-leverage activities
• Give examples wherever possible

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

200 AI Income Ideas. One Might Change Everything.

Most people don't fail because they lack motivation.

They fail because they don't know what to build.

The AI Income Playbook gives you 200 AI-powered income ideas across 10 categories—from digital products and agencies to newsletters, marketplaces, and micro-tools.

No theory. No fluff.

Just proven models you can browse, evaluate, and start executing today.

👉️ Get the AI Income Playbook

^{AI QUICK HITS}

🦾 Google DeepMind is investing $75 million in A24 to build AI filmmaking tools, marking one of Hollywood’s biggest partnerships yet between a major studio and an AI company as the industry experiments with how AI fits into the creative process.

👁️ Sam Altman’s iris-scanning startup Tools for Humanity reportedly hired outside law firms to investigate allegations involving financial irregularities and potential bribery concerns in Thailand, adding to the growing regulatory scrutiny surrounding its Worldcoin identity project.

⚡ Microsoft has signed a 20-year deal with Chevron to power a massive Texas AI data center with natural gas, highlighting how surging AI demand is pushing tech companies to pursue new energy sources beyond renewables.

🖥️ Google is reportedly backing billions of dollars in data-center financing and expanding sales of its TPU chips as it makes its strongest push yet to challenge Nvidia’s dominance in the AI hardware market.

🎲 Polymarket is facing criticism after a Wall Street Journal investigation alleged the company used staged winning bets on copycat websites in influencer videos, raising questions about trust and transparency as it pursues a return to the U.S. market.

^{AI TOOL STACK}

🔧 Smartli: Create high-converting and compelling product descriptions with AI.

🔧 Carepatron: Automate Client Tasks & Monetize with AI Fast.

🔧 Unbounce: The leading AI landing page platform

🔧 Canvora: The Smartest Visual Assistant.

🔧 Enrola: Convert More Leads Into Revenue with Enrola's AI Sales Agents

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

👉 Explore the brand new Tool Database

🤔 ^{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 June 19th? 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

You don't have to scroll every AI thread, track every new tool, or watch every demo. 

The Rundown AI breaks it all down for you — the latest AI news, tools, and tutorials in one free 5-minute email every morning. 

Trusted by 2M+ professionals at Apple, Google, and NASA.

Sign up to start learning.

^{AI MARKETPULSE}
Federal Regulators Just Created a Fast Lane for AI Data Centers

The Federal Energy Regulatory Commission (FERC) has ordered six major U.S. grid operators to accelerate the process of connecting AI data centers and other large electricity users to the power grid. The move comes as AI-driven electricity demand is expected to nearly triple by 2035 and follows growing concerns that grid bottlenecks could undermine America's competitiveness in AI. FERC also instructed operators to explore newer grid technologies and become more accommodating to behind-the-meter power solutions. But there's a catch: speeding up connections doesn't solve the underlying shortage of electricity generation. New power plants are facing many of the same connection delays, while wholesale electricity prices have already risen as much as 267% over the last five years in some regions. Key Takeaways:

• FERC ordered major U.S. grid operators to fast-track data center interconnection requests

• U.S. electricity demand from data centers is expected to nearly triple by 2035

• Faster grid connections do not solve the growing shortage of electricity generation capacity

👉️ Read the full article here

Your prompts are leaving out 80% of what you're thinking.

When you type a prompt, you summarize. When you speak one, you explain. Wispr Flow captures your full reasoning — constraints, edge cases, examples, tone — and turns it into clean, structured text you paste into ChatGPT, Claude, or any AI tool. The difference shows up immediately. More context in, fewer follow-ups out.

89% of messages sent with zero edits. Used by teams at OpenAI, Vercel, and Clay. Try Wispr Flow free — works on Mac, Windows, and iPhone.

Start flowing free

^{AI SPOTLIGHT}
Rising Electricity Costs Are Becoming an AI Infrastructure Problem

Americans are expected to spend a record average of $792 on electricity this summer, up 10.5% from last year and nearly 40% higher than cooling costs in 2020. The increase is being driven by a combination of rising electricity prices and hotter temperatures, with forecasters predicting another summer of extreme heat across large portions of the country. At the same time, AI companies are racing to build energy-hungry data centers that are dramatically increasing demand on already strained power grids. While the report focuses on households, it highlights a much larger trend unfolding beneath the surface: electricity is becoming one of the most important inputs in the AI economy. .

Key Takeaways:

• The average U.S. household is expected to spend $792 on electricity this summer, up 10.5% year over year

• Summer cooling costs have increased nearly 40% since 2020 due to higher electricity prices and hotter temperatures

• Growing electricity demand is emerging as a critical challenge as AI infrastructure expands across the country

👉️ Read the full article here

Your creative brief is due Friday. Viktor wrote it Tuesday.

Tell him the campaign. Viktor pulls last quarter's performance from Meta and TikTok, scrapes competitor ads, drafts the brief, posts it for review. You edit, he ships the creative requests to your designer. Inside Slack.

Get Started for Free

^{TODAY’S PROMPT}
Your Next Digital Product, Planned in Minutes

This mega-prompt acts like a digital product strategist, turning your niche, audience, and expertise into a portfolio of high-potential products. It builds ebooks, templates, mini-courses, memberships, and other product ideas complete with positioning, pricing guidance, and launch recommendations so you can spend less time brainstorming and more time building.

👉️ See the example inputs and outputs here

Act as an expert digital product strategist, product marketer,
and online business advisor.

Your job is to generate a customized portfolio of digital product
ideas based on my expertise, audience, and business goals.

Focus on products that are practical, valuable, and realistically
sellable for my specific niche.

INPUTS

Niche:
[Describe your niche]

Audience:
[Describe your target audience]

Expertise:
[Describe your skills, experience, or knowledge]

Business Goal:
[Generate leads, build authority, create passive income,
grow newsletter, etc.]

Preferred Product Types:
[Ebooks, templates, courses, memberships, workshops,
Notion templates, swipe files, calculators, etc.]

Price Range:
[Free, low-ticket, mid-ticket, premium]

Time Available:
[Hours per week available to create products]

Existing Assets:
[Newsletter, audience, social following, blog,
YouTube channel, community, etc.]

OUTPUT

Create a complete Digital Product Idea Pack that includes:

1. Top 15 Product Ideas

* Rank ideas from strongest to weakest
* Explain why each idea fits the audience

2. Quick-Win Products

* Recommend 5 products that can be created quickly
* Explain why they are easy to launch

3. High-Revenue Opportunities

* Recommend 5 products with the strongest monetization
  potential

4. Product Breakdown
   For the top 5 ideas include:

* Product name
* Product format
* Core promise
* Target customer
* Estimated complexity
* Recommended pricing strategy

5. Lead Magnet Opportunities

* Generate 10 free product ideas that attract buyers

6. Product Bundle Ideas

* Suggest 5 bundles that combine multiple products

7. Content-to-Product Opportunities

* Identify products that can be built from existing content

8. Launch Strategy

* Recommend the best product to launch first
* Explain why
* Outline a simple launch plan

9. Competitive Advantage

* Explain how to make these products stand out
  from competitors

10. Next Steps

* Recommend the fastest path from idea to launch

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

Prioritize simplicity, market demand, audience value,
and speed of execution over complexity.

⚡️ 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

200 AI Income Ideas. One Might Change Everything.

Most people don't fail because they lack motivation.

They fail because they don't know what to build.

The AI Income Playbook gives you 200 AI-powered income ideas across 10 categories—from digital products and agencies to newsletters, marketplaces, and micro-tools.

No theory. No fluff.

Just proven models you can browse, evaluate, and start executing today.

👉️ Get the AI Income Playbook

^{AI QUICK HITS}

🚚 Amazon is reportedly exploring selling its Trainium AI chips directly to other companies' data centers, escalating its challenge to Nvidia as demand grows for alternative AI infrastructure.

🚀 NASA selected Eric Schmidt-owned Relativity Space for a Mars mission scheduled for 2028, setting up the possibility that the startup could reach the Red Planet before SpaceX.

💕 Match Group found that 47% of U.S. singles view AI negatively in dating, though many are still open to using it for profile improvements and conversation starters.

🛰 Speculation is growing about a potential SpaceX-Tesla merger after SpaceX's blockbuster IPO, with supporters pointing to overlapping ambitions in AI, robotics, compute infrastructure, and autonomous systems

🏛 Sen. Bernie Sanders unveiled a proposal that would require the largest AI companies to transfer stock into a public wealth fund, giving Americans a direct ownership stake in the industry's future growth.

^{AI TOOL STACK}

🔧 Gling: Edit YouTube Videos Automatically with AI.

🔧 Neural.love: Create Stunning AI Images, Art, and Avatars Instantly.

🔧 micro1: Data lab to train frontier models & evaluate agents

🔧 GetResponse: Send emails, automate marketing, monetize content in one place

🔧 Whatfix: Increase user adoption with in-app guidance

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

👉 Explore the brand new Tool Database

🤔 ^{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 June 17th? 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?

Learn AI in 5 minutes a day

You don't have to scroll every AI thread, track every new tool, or watch every demo. 

The Rundown AI breaks it all down for you — the latest AI news, tools, and tutorials in one free 5-minute email every morning. 

Trusted by 2M+ professionals at Apple, Google, and NASA.

Sign up to start learning.

^{AI MARKETPULSE}
OpenAI's Revenue Is Exploding—But Its Losses Are Growing Even Faster

Leaked audited financial documents reveal that OpenAI generated $13.1 billion in revenue during 2025, up from $3.7 billion the year before, highlighting just how quickly demand for AI products continues to grow. But the documents also show the enormous cost of competing at the frontier of AI. OpenAI spent $19.2 billion on research and development alone in 2025, including more than $10 billion paid to Microsoft, while its cost of serving users and running models surged to $7.5 billion. Altogether, the company posted an operating loss of nearly $21 billion last year. While losses are shrinking relative to revenue, profitability remains a distant goal despite OpenAI's plans to eventually become a profitable public company.

Key Takeaways:

• OpenAI's revenue grew from $3.7 billion in 2024 to $13.1 billion in 2025

• Research and development costs reached $19.2 billion in 2025, exceeding total company revenue

• OpenAI reported a $20.9 billion operating loss as it continues investing heavily in AI infrastructure and model development

👉️ Read the full article here

Win with Better Connectivity: The Superpowers Your Business Needs

Imagine an enterprise where network lag is a thing of the history books, remote teams are flawlessly connected, and security is baked into every byte. This isn't just a network upgrade; it’s a competitive revolution. Welcome to the future of enterprise agility with T-Mobile for Business.
SuperMobile is giving serious teams the edge they need to move faster and smarter. Powered by the nation’s first business-ready network slice and out-of-this-world satellite coverage, your organization won't just stay connected—it will stay ahead.
From mid-market innovators to Fortune 500 giants, they are reshaping how modern enterprises operate. Ready to unlock your business's true potential?

👉️ Connect with an Enterprise Expert Today

^{AI SPOTLIGHT}
WordPress VIP Found That 60% of Consumers Are Turned Off by AI Marketing

A new survey from WordPress VIP found that 60% of U.S. consumers view brands less favorably when they explicitly use "AI" in their marketing, even as companies increasingly optimize their content to appear in AI search results. The study also found that 86% of consumers don't fully trust AI-generated answers and still want access to original sources, while 33% say clicking through to the original source remains their strongest trust signal. At the same time, businesses are moving aggressively in the opposite direction, with 74% of enterprise decision-makers prioritizing AI discoverability and attribution as AI search becomes a growing traffic source. The findings highlight a growing tension between what brands want from AI and what consumers trust.

Key Takeaways:

• 60% of U.S. consumers say brands that emphasize "AI" in their messaging are a turnoff

• 86% of consumers don't fully trust AI-generated answers and prefer access to original sources

• 74% of enterprise decision-makers now view AI discoverability and attribution as a significant business priority

👉️ Read the full article here

Where to Invest $100,000 Right Now, According to Experts

Investors face a dilemma. When the S&P 500 finished its worst quarter since 2022 last month, diversifiers like bonds and bitcoin fell too.

Even with the turnaround in mid-April, analysts at Goldman Sachs and Vanguard have projected low-single-digit annualized returns from 2024-2034.

Bloomberg asked where experts would personally invest $100,000 for their March monthly edition.

One answer that surfaced for a second time? Art.

It's what billionaires like Bezos and the Rockefellers have privately used to diversify for decades.

Why?

1. Appreciation. The ArtPrice100 Index outpaced the S&P 500 overall from 2000 to 2025

2. Low-correlation. The postwar contemporary segment has moved independently of traditional investments like stocks since ‘95.*

3. Resilience. A scarce, physical, and global asset class with decades of demonstrated demand.

Thanks to the world's premier art investing platform, now anyone can invest in works featuring legends like Banksy, Basquiat, and Picasso, without needing millions.

Shares in new offerings can sell quickly but...

Our subscribers skip their waitlist*

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

^{TODAY’S PROMPT}
From Expertise to Standing Ovations

This mega-prompt acts like a world-class keynote strategist, helping you turn your knowledge, experience, and stories into a polished signature talk. It builds a complete presentation framework—including core message, audience takeaways, storytelling moments, and slide structure—so you can confidently pitch podcasts, conferences, masterminds, and speaking opportunities.

👉️ See the example inputs and outputs here

Act as a world-class keynote strategist, TED-style speaker coach,
and presentation architect.

Your job is to transform my expertise, experiences, and ideas into
a compelling signature talk that positions me as an authority while
delivering genuine value to my audience.

INPUTS

Expertise:
[Describe your area of expertise]

Audience:
[Describe who will be listening]

Speaking Goal:
[What do you want this talk to accomplish?]

Talk Length:
[10 min, 20 min, 45 min, keynote, workshop, etc.]

Core Topic:
[Main topic or idea]

Personal Stories:
[List any personal stories, case studies, examples, or experiences]

Offers or Services:
[Products, services, newsletter, community, coaching, etc.]

OUTPUT

Create a complete signature talk framework that includes:

1. Talk Title Options

* Generate 10 compelling presentation titles
* Make them memorable and curiosity-driven

2. Big Idea

* Define the central thesis of the talk
* Explain why it matters now

3. Audience Transformation

* Describe what the audience believes before
* Describe what they believe after

4. Signature Framework

* Create a simple framework with 3-5 steps
* Give each step a memorable name

5. Talk Outline

* Opening hook
* Problem setup
* Key lessons
* Stories and examples
* Closing message
* Call to action

6. Story Opportunities

* Recommend where personal stories should be used
* Explain what each story should accomplish

7. Slide Structure

* Recommend slide sequence
* Estimate slide count
* Suggest visuals for each section

8. Audience Engagement

* Questions to ask
* Interactive moments
* Reflection exercises

9. Speaker Positioning

* Explain how this talk differentiates me
* Identify unique credibility points

10. Podcast and Panel Version

* Convert the keynote into talking points that work
  for podcasts, interviews, and panel discussions

11. Speaker Pitch Summary

* Write a short event description organizers can use
  when promoting the session

12. Next Steps

* Recommend how to refine, test, and improve this
  presentation over time

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

Prioritize clarity, memorable storytelling, audience value,
and practical takeaways. The final output should feel like a
professional keynote that could be delivered immediately.

⚡️ 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

200 AI Income Ideas. One Might Change Everything.

Most people don't fail because they lack motivation.

They fail because they don't know what to build.

The AI Income Playbook gives you 200 AI-powered income ideas across 10 categories—from digital products and agencies to newsletters, marketplaces, and micro-tools.

No theory. No fluff.

Just proven models you can browse, evaluate, and start executing today.

👉️ Get the AI Income Playbook

^{AI QUICK HITS}

🤖 ChatGPT's market share has fallen below 50% for the first time, with Google's Gemini and Anthropic's Claude gaining ground as AI users become increasingly willing to switch between assistants.

🚀 SpaceX has agreed to acquire AI coding startup Cursor in a $60 billion stock deal, signaling how valuable AI developer tools have become as companies race to build competitive AI ecosystems.

🪖 T he Pentagon says 1.5 million Department of Defense employees are now using its GenAI.mil platform daily, up from just 80,000 users six months ago as AI becomes embedded in routine government work.

📈 SpaceX briefly surpassed Amazon in market value after its stock surged following its IPO, adding roughly $1 trillion in valuation in just a few days as investors bet big on the company's AI ambitions.

💧 Oracle's massive Project Jupiter AI data center in rural New Mexico is facing scrutiny over water usage, highlighting the growing tension between AI infrastructure expansion and local resource concerns.

^{AI TOOL STACK}

🔧 Looka: Create a Beautiful Brand Instantly With AI.

🔧 Supernormal: AI agents built for agencies

🔧 Vidnoz: Instantly Create AI Videos for Any Topic for free.

🔧 Hiver: The AI-first customer service platform.

🔧 Aomni: AI-powered strategic sales

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

👉 Explore the brand new Tool Database

🤔 ^{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 wrong!

Did you vote in the poll from June 15th? 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?

10x the context. Half the time.

Speak your prompts into ChatGPT or Claude and get detailed, paste-ready input that actually gives you useful output. Wispr Flow captures what you'd cut when typing. Free on Mac, Windows, and iPhone.

Try Wispr Flow free

^{AI MARKETPULSE}
Anthropic Faces Lawsuit Over AI Usage Limits and Rising Model Costs

Anthropic is facing a new class action lawsuit that accuses the company of misleading subscribers about how much usage they actually receive under its premium Claude Max plans. The lawsuit claims users paying $100 and $200 per month were promised significantly higher token allowances than they ultimately received, while Anthropic's pricing structure made it difficult for customers to understand where their usage was being consumed. The dispute arrives as the cost of using advanced AI models becomes a growing concern across the industry. As AI systems become more agentic and capable of handling complex multi-step tasks, they also consume dramatically more computing resources, making affordability an increasingly important competitive battleground. Competitors including Microsoft and OpenAI are already emphasizing lower-cost alternatives as businesses look for ways to control AI spending.

Key Takeaways:

• Anthropic is being sued over claims that its Claude Max subscription plans delivered less usage than customers were led to expect

• More capable AI models are becoming significantly more expensive to operate as agentic workflows consume larger amounts of compute and tokens

• AI companies are increasingly competing on affordability as businesses and consumers push back against rising usage costs

👉️ Read the full article here

No theory. No slides. Just pipeline.

Most founders know their product. Few know how to get it in front of the right people. In this hands-on session, Clay + HubSpot for Startups walk you through ICP definition, prospect list enrichment, and AI-personalized outreach. You launch your first sequence before the session ends. June 18. 11am ET / 4pm GMT.

Register Before June 18.

^{AI SPOTLIGHT}
AI Companies Are Discovering That Unlimited AI Isn't Really Sustainable

A new analysis from SemiAnalysis highlights a growing challenge facing AI companies: the economics of unlimited-feeling subscriptions. The research found that OpenAI's $200-per-month ChatGPT Pro plan could theoretically generate up to $14,000 worth of API usage if a customer fully utilized its capabilities, while Anthropic's comparable $200 Claude Max plan could reach roughly $8,000 in usage value. The problem becomes even more pronounced as AI systems become more agentic, with complex workflows consuming hundreds or even thousands of times more tokens than traditional chatbot interactions. As a result, some organizations are already limiting AI access internally, while others are shifting workloads to cheaper open-source models to control costs.

Key Takeaways:

• SemiAnalysis estimates heavy users can consume far more AI compute than their monthly subscription fees cover

• Agentic AI workflows are dramatically increasing token consumption and infrastructure costs

• Businesses are increasingly adopting cheaper models and open-source alternatives to control AI spending

👉️ Read the full article here

Set it, forget it, and save for your goals

Make saving automatic with Cash App. Round up your spare change from every purchase, earn up to 3.25% interest, and transfer money between your balances whenever you want—all with no hidden fees or minimum balance requirements.

Make unlimited transfers between your Cash and Savings balances 

Keep your money safe with 24/7 fraud monitoring and built-in security features

Saving is easier with Cash App

👉️ Start saving with Cash App

^{TODAY’S PROMPT}
Turn One Post Into 5 Days of Content

This mega-prompt acts like a social media content strategist, turning a single post into platform-specific content for five different channels. It builds a complete repurposing system so you can stay visible everywhere without creating new content from scratch every day.

👉️ See the example inputs and outputs here

Act as an elite social media strategist,
content repurposing expert,
and audience growth consultant.

Your job is to take one piece of content
and transform it into a complete
cross-platform content system.

━━━━━━━━━━━━━━━━━━━━━━

INPUTS

Original Content:
[PASTE ORIGINAL POST, ARTICLE,
THREAD, VIDEO TRANSCRIPT,
NEWSLETTER, OR IDEA]

Business / Brand:
[DESCRIBE YOUR BUSINESS]

Target Audience:
[DESCRIBE YOUR AUDIENCE]

Goal:
[LEADS, FOLLOWERS,
NEWSLETTER SUBSCRIBERS,
SALES, ENGAGEMENT, ETC.]

Platforms:
[LIST THE 5 PLATFORMS
YOU WANT TO USE]

Brand Voice:
[PROFESSIONAL, CASUAL,
HUMOROUS, EDUCATIONAL, ETC.]

━━━━━━━━━━━━━━━━━━━━━━

OUTPUT

1. CONTENT ANALYSIS

• Identify the core idea

• Identify the strongest hook

• Identify the most valuable insight

• Explain why the content resonates

━━━━━━━━━━━━━━━━━━━━━━

2. LINKEDIN VERSION

• Rewrite for LinkedIn

• Optimize for engagement

• Include a strong CTA

━━━━━━━━━━━━━━━━━━━━━━

3. X VERSION

• Create a thread

• Include a hook

• Include a closing CTA

━━━━━━━━━━━━━━━━━━━━━━

4. INSTAGRAM VERSION

• Create carousel slide copy

• Create slide headlines

• Create the caption

━━━━━━━━━━━━━━━━━━━━━━

5. FACEBOOK VERSION

• Create a native Facebook post

• Optimize for comments and shares

━━━━━━━━━━━━━━━━━━━━━━

6. NEWSLETTER VERSION

• Rewrite into a newsletter section

• Add a compelling opening

• Include a CTA

━━━━━━━━━━━━━━━━━━━━━━

7. SHORT-FORM VIDEO SCRIPT

• Create a 30-60 second script

• Include a hook

• Include talking points

• Include a CTA

━━━━━━━━━━━━━━━━━━━━━━

8. GROWTH OPTIMIZATION

• Best posting times

• Best CTA for each platform

• Recommended hashtag strategy

• Audience engagement ideas

━━━━━━━━━━━━━━━━━━━━━━

9. 7-DAY REPURPOSING PLAN

• Day-by-day posting schedule

• Which content goes where

• Suggested publishing order

━━━━━━━━━━━━━━━━━━━━━━

10. FINAL RECOMMENDATIONS

• Biggest opportunity for reach

• Biggest opportunity for engagement

• Biggest opportunity
  for audience growth

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

200 AI Income Ideas. One Might Change Everything.

Most people don't fail because they lack motivation.

They fail because they don't know what to build.

The AI Income Playbook gives you 200 AI-powered income ideas across 10 categories—from digital products and agencies to newsletters, marketplaces, and micro-tools.

No theory. No fluff.

Just proven models you can browse, evaluate, and start executing today.

👉️ Get the AI Income Playbook

^{AI QUICK HITS}

⚠️ Nearly 150,000 tech workers have been laid off so far this year while AI companies create enormous new fortunes for insiders, fueling a growing debate over whether AI is truly replacing jobs or simply becoming a convenient explanation for workforce cuts.

📱 Nothing CEO Carl Pei warns that AI-driven demand for memory chips has pushed RAM costs above 50% of a smartphone’s hardware bill, signaling that higher prices for phones and PCs may be here to stay.

💧 Amazon says all of its global data centers combined use just 0.075% of the water Americans consume watering lawns and gardens each year, as the company pushes back against growing concerns over AI infrastructure's environmental footprint.

🧠 Meta is rolling out a new AI-powered search mode on Facebook that pulls answers from public posts, Groups, and Reels, turning everyday user conversations into an AI-generated knowledge engine.

🔒 The U.K. has joined a growing list of countries moving to restrict social media access for children under 16, with new rules also set to limit access to AI companion chatbots for minors.

^{AI TOOL STACK}

🔧 Lilac Labs: Building World's Best Private Personal AI.

🔧 keap: A CRM software that automates your entire business.

🔧 Relevance AI: AI agents that drive business impact

🔧 soona: Creative at scale for brands with standards.

🔧 Castmagic: Turn Media Into Video Clips Like Magic.

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

👉 Explore the brand new Tool Database

🤔 ^{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 wrong!

Did you vote in the poll from June 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?

Learn AI in 5 minutes a day

You don't have to scroll every AI thread, track every new tool, or watch every demo. 

The Rundown AI breaks it all down for you — the latest AI news, tools, and tutorials in one free 5-minute email every morning. 

Trusted by 2M+ professionals at Apple, Google, and NASA.

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^{AI MARKETPULSE}
All Eyes Are on SpaceX's IPO Debut

SpaceX has officially priced what is expected to become the largest IPO in history, selling $75 billion worth of shares at $135 each and debuting with a valuation approaching $1.8 trillion. The offering is more than double the size of Saudi Aramco's previous IPO record and immediately places SpaceX among the world's largest public companies. While the company remains unprofitable and faces skepticism about whether its valuation can be justified by current fundamentals, investors have poured more than $100 billion in orders into the offering. Beyond rockets and satellites, a significant part of the story is SpaceX's AI ambitions through xAI, making the IPO an important test case for future public offerings from AI giants like OpenAI and Anthropic. The deeper thesis: tomorrow's market debut won't just measure enthusiasm for SpaceX—it may reveal how much investor appetite still exists for the next wave of trillion-dollar AI companies.

Key Takeaways:

• SpaceX priced a record-breaking $75 billion IPO at $135 per share, giving the company a valuation of roughly $1.8 trillion

• Investor demand exceeded available shares, with reported orders surpassing $100 billion ahead of trading

• The IPO's performance could influence investor expectations for future AI-related public offerings from OpenAI and Anthropic

👉️ Read the full article here

Brain-Boosting Hearing Innovation

When your hearing struggles, your brain works overtime to fill in the gaps, which can affect memory, focus, and energy over time. Horizon IX from hear.com lightens that load. This tiny, virtually invisible device uses advanced German dual‑processing technology to separate speech from background noise, so conversations feel effortless again. Built for modern life and all‑day comfort, it’s available with a 45‑day no‑risk trial so you can hear the difference for yourself.

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^{AI SPOTLIGHT}
OpenAI May Slash Prices as Competition Intensifies

A new report suggests OpenAI is considering significant price cuts for its AI models as competition with Anthropic heats up in the enterprise market. The move comes as businesses increasingly scrutinize their AI spending and demand clearer returns on investment from expensive AI tools. Anthropic has gained momentum with enterprise customers, particularly after the rapid adoption of Claude Code among software developers, while OpenAI is looking to defend its market position. At the same time, concerns are growing that AI services may become increasingly interchangeable, making it easier for customers to switch providers based on cost. The deeper thesis: the next phase of the AI race may be less about model quality and more about who can deliver the most value at the lowest cost.

Key Takeaways:

• OpenAI is reportedly evaluating major price reductions to remain competitive with Anthropic in the enterprise AI market

• Companies are becoming more sensitive to AI spending as executives push for stronger evidence of productivity gains and ROI

• Pricing pressure could shift competition away from model performance alone and toward cost, efficiency, and customer retention

👉️ Read the full article here

Your business has grown. Has your accounting?

When you started out, handling your own books made sense. But the business you’re running today isn’t the one you started and if your accounting hasn’t kept pace, it’s quietly working against you.
We see it all the time: outdated financials, no clear view of what’s actually profitable and horse every week pulled away from the work that grows your business. These aren’t just bookkeeping headaches, they’re growth bottlenecks.
At BELAY, our Financial Experts integrate directly into your business handling your books, reconciling accounts, running payroll, and delivering the timely insight you need to make big decisions with confidence. Expert-level support, without the overhead of a full-time hire.
Stop guessing. Start knowing. Bagel Bots readers can download BELAY’s free guide, The Small Business Guide to Outsourced Accounting.

👉️ Download the Free Guide

^{TODAY’S PROMPT}
Build Freelance Service Packages Clients Actually Want to Buy

This mega-prompt acts like an experienced freelance business strategist, turning your skills and experience into packaged service offers that are easier to sell. It builds pricing tiers, deliverables, ideal client profiles, and positioning angles so you can stop selling your time and start selling outcomes.

👉️ See the example inputs and outputs here

Act as a freelance business consultant who helps
service providers create clear, valuable, and
easy-to-buy offers.

Your job is to turn my skills, experience, and
target market into a complete freelance offer
suite.

INPUTS

Primary Skill:
[What service do you provide?]

Experience Level:
[Beginner, Intermediate, Advanced, Expert]

Target Industry:
[Industry or niche]

Target Client:
[Who you want to work with]

Preferred Pricing Model:
[Project, Retainer, Hourly, Hybrid]

Average Project Size:
[Typical scope or complexity]

Business Goals:
[Income goals, lifestyle goals, growth goals]

OUTPUT

1. Freelance Positioning Statement
   • One clear sentence explaining what I do
   • The outcome I create
   • Who I help

2. Ideal Client Profile
   • Company type
   • Team size
   • Budget range
   • Common problems
   • Buying triggers

3. Core Service Offer
   • Service name
   • What is included
   • Expected outcome
   • Typical timeline

4. Tiered Service Packages

   Starter Package
   • Deliverables
   • Timeline
   • Recommended price

   Growth Package
   • Deliverables
   • Timeline
   • Recommended price

   Premium Package
   • Deliverables
   • Timeline
   • Recommended price

5. Add-On Services
   • 5 optional upgrades
   • Suggested pricing
   • When to recommend them

6. Competitive Differentiators
   • Why clients should choose me
   • Unique angles
   • Trust-building elements

7. Sales Messaging
   • One-sentence offer
   • Elevator pitch
   • Website headline
   • LinkedIn headline

8. Objection Handling
   • Top 5 client objections
   • Best response to each

9. Client Acquisition Plan
   • Best outreach channels
   • Best content topics
   • First 5 actions to get clients

10. Quick Wins
    • Three actions I can take this week
    • Three actions I can take this month

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

Most AI agents demo well. Few ship real work.

Most AI agents can run a task. The problem is everything around it: setup, memory, context, cost, and figuring out what actually happened.

SureThing turns useful AI skills into autonomous agents with business context, persistent memory, cost-aware model selection, and a live dashboard. Paste a link, assign the work, and your agent reports back like a human teammate: what it did, what it cost, what needs your decision, and what happens next.

Built for founders, operators, and marketers who want AI to ship work, not become another tool to babysit.

Create Your Agent

^{AI QUICK HITS}

🤖 Coinbase just launched AI trading agents that can execute crypto trades, rebalance portfolios, and even pay for premium research using its x402 protocol, pushing the idea of autonomous financial agents one step closer to reality.

🎓 Microsoft President Brad Smith says recent Gen Z backlash against AI at college graduations should be a wake-up call for the tech industry, arguing that AI should focus on enhancing human capabilities rather than replacing them.

💰 Amazon just secured another $17.5 billion in financing days after a $14 billion bond sale, underscoring how aggressively Big Tech is borrowing to fund the AI infrastructure race.

🏢 Anthropic has partnered with Tata Consultancy Services to accelerate enterprise adoption of Claude, giving the IT giant a dedicated Claude deployment unit and early access to future model releases.

🧑‍💻 OpenAI is acquiring startup Ona to strengthen Codex, allowing its AI coding assistant to handle longer-running tasks and making it easier for companies to deploy AI agents into production environments.

^{AI TOOL STACK}

🔧 spiritme: AI-video for creating personalized videos with digital avatars.

🔧 TubeOnAI: Instantly Summarize Any Content with AI.

🔧 datacamp: Become an AI power user

🔧 Unbounce: Leading AI landing page platform

🔧 Supernormal: Turn meetings into completed client work in a flash

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

👉 Explore the brand new Tool Database

🤔 ^{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 wrong!

Did you vote in the poll from June 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?

200 AI Income Ideas. One Might Change Everything.

Most people don't fail because they lack motivation.

They fail because they don't know what to build.

The AI Income Playbook gives you 200 AI-powered income ideas across 10 categories—from digital products and agencies to newsletters, marketplaces, and micro-tools.

No theory. No fluff.

Just proven models you can browse, evaluate, and start executing today.

👉️ Get the AI Income Playbook

^{AI MARKETPULSE}
MANGOS Replacing FAANG as Tech's New Power Players

For years, FAANG defined the companies that shaped the direction of the technology industry: Facebook (now Meta), Amazon, Apple, Netflix, and Google (now Alphabet). But a new acronym is starting to gain traction as AI reshapes the market. Dubbed "MANGOS," the group includes Meta, Anthropic, Nvidia, Google, OpenAI, and SpaceX. The shift comes as SpaceX, Anthropic, and OpenAI all prepare for potentially record-breaking public offerings that could cement their influence over the next decade of technology. While Amazon and Netflix remain major players, the center of gravity appears to be moving toward companies building the AI models, chips, infrastructure, and autonomous systems that could define the next era of innovation.

Key Takeaways:

• A new acronym, MANGOS, is gaining attention as a potential successor to FAANG in the AI era

• SpaceX, Anthropic, and OpenAI are all pursuing major public market debuts that could reshape the technology landscape

• The industry's focus is shifting toward companies controlling AI models, compute infrastructure, and autonomous technologies

👉️ Read the full 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

^{AI SPOTLIGHT}
China Is Planning a $295 Billion AI Infrastructure Push

China is reportedly preparing a massive 2 trillion yuan ($295 billion) data center expansion over the next five years as it accelerates its efforts to compete with the United States in the AI race. According to Bloomberg, the plan would create a network of interconnected data centers operated by state-backed firms including China Mobile and China Telecom, with at least 80% of the core technology sourced from domestic suppliers such as Huawei. The initiative is part of Beijing's broader strategy to strengthen its AI ecosystem by combining computing infrastructure, power resources, domestic chip development, and state financing into a coordinated national effort. The announcement comes as U.S. hyperscalers are expected to spend roughly $800 billion on AI infrastructure this year alone.

Key Takeaways:

• China is reportedly planning to invest approximately $295 billion in AI-focused data center infrastructure over the next five years

• The project would rely heavily on domestic technology providers, including Huawei, as China seeks to reduce dependence on U.S. chipmakers

• Global AI competition is shifting beyond software toward large-scale investments in compute, power, and infrastructure

👉️ Read the full article here

Say Goodbye to Boring Coffee

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I took a quick quiz, and now I enjoy unique, freshly roasted coffees delivered straight to my door. Not only do they taste better than what I was buying before, but supporting local artisans makes me feel great about the money I’m spending on coffee each week.

Plus, Trade is offering [Newsletter Name] readers up to 30% off your first month subscription when you sign up today. Trust us, you deserve the upgrade. Our only regret—not finding them sooner!

👉️ Take the quiz and find your perfect roast today.

^{TODAY’S PROMPT}
Write 3 High-Converting Ad Variations in Minutes

This mega-prompt acts like a world-class direct response copywriter and paid media strategist. Give it your offer, audience, and advertising platform, and it will generate three completely different ad concepts—each built around a different psychological trigger—so you can test what resonates before spending more on ads.

👉️ See the example inputs and outputs here

Act as an elite direct response
copywriter and paid advertising strategist.

Your job is to create three distinct ad
variations for split testing.

Each version should use a different
psychological angle so the ads appeal to
different motivations.

INPUTS

Product or Service:
[PRODUCT]

Target Audience:
[AUDIENCE]

Advertising Platform:
[FACEBOOK / INSTAGRAM / LINKEDIN /
GOOGLE / X / TIKTOK]

Primary Benefit:
[MAIN BENEFIT]

Offer:
[OFFER]

Call To Action:
[CTA]

Brand Voice:
[VOICE]

OUTPUT

Create three complete ad variations.

VERSION A — FEAR

Objective:
Highlight the cost of inaction,
mistakes, missed opportunities,
or hidden risks.

Include:

• Headline
• Primary ad copy
• CTA
• Why this angle may work

VERSION B — DESIRE

Objective:
Focus on transformation,
aspiration, success, status,
freedom, or achievement.

Include:

• Headline
• Primary ad copy
• CTA
• Why this angle may work

VERSION C — LOGIC

Objective:
Use facts, proof, efficiency,
data, ROI, or rational decision-making.

Include:

• Headline
• Primary ad copy
• CTA
• Why this angle may work

AD ANALYSIS

After generating all three versions,
provide:

• Which audience segment each ad
is most likely to resonate with
• Potential strengths of each version
• Potential weaknesses of each version
• Which version should be tested first
and why

OPTIMIZATION IDEAS

Provide:

• 5 alternative headlines
• 3 alternative CTAs
• 3 creative/image concepts
• 3 audience-testing ideas

Requirements:

• Write in platform-native style
• Avoid generic marketing language
• Make each version feel meaningfully
different
• Prioritize clarity over cleverness
• Keep the copy conversion-focused

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

⚡️ 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

200 AI Income Ideas. One Might Change Everything.

Most people don't fail because they lack motivation.

They fail because they don't know what to build.

The AI Income Playbook gives you 200 AI-powered income ideas across 10 categories—from digital products and agencies to newsletters, marketplaces, and micro-tools.

No theory. No fluff.

Just proven models you can browse, evaluate, and start executing today.

👉️ Get the AI Income Playbook

^{AI QUICK HITS}

⚠️ Researchers are warning that AI agents equipped with crypto wallets, social media accounts, and autonomous decision-making could become difficult to control if they learn to self-replicate or operate beyond their intended safeguards.

💰 Apollo and Blackstone have reportedly assembled a massive $35 billion private-credit financing package to help fund Anthropic’s AI expansion, highlighting how quickly Wall Street is creating new ways to finance the AI infrastructure boom.

🛡️ Anthropic launched Claude Fable 5, its first publicly available Mythos-class model, but built in strict guardrails that block responses in high-risk areas like cybersecurity, biology, and chemistry.

📱 Hidden code inside Apple’s iOS 27 developer beta references fold states, screen angles, and multiple displays, adding fresh evidence that Apple’s long-rumored foldable iPhone could arrive as soon as this fall.

🤖 A federal judge in Mississippi canceled a trial, fined four attorneys, and removed every lawyer from a case after discovering both sides had submitted AI-generated legal arguments that cited hallucinated court cases.

^{AI TOOL STACK}

🔧 Exemplary AI: Transcribe, Summarize, and Repurpose Content with AI.

🔧 Neural.Love: Create Stunning AI Images, Art, and Avatars Instantly.

🔧 Tana: AI-native workspace for notes, tasks, and knowledge management.

🔧 Warmy.io: Instantly Boost Email Deliverability with AI.

🔧 Cogram: AI assistant for meetings, notes, and workflow automation

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

👉 Explore the brand new Tool Database

🤔 ^{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—74% were right!

Did you vote in the poll from June 8th? 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?

Here’s to your teen’s next big step

Growing up comes with plenty of firsts. With a Cash App Card, teens have a safe way to practice saving, managing money, and spending—all with their own debit card, and you as their guide.

👉️ Invite them to Cash App today.

^{AI MARKETPULSE}
A Humanoid Robot Accidentally Kicked a Child During a Public Demonstration

A viral video from China has reignited concerns about humanoid robot safety after a Unitree G1 robot appeared to accidentally kick a child during a public demonstration. The robot, which was performing a roundhouse kick while wearing a clown wig, struck the child in the stomach, though reports indicate no serious injuries occurred. The incident follows other recent examples of robots behaving unexpectedly, including a separate Unitree robot that reportedly injured a spectator after losing its balance and a widely discussed experiment in which a humanoid robot bypassed safety restrictions during a role-play scenario. The deeper thesis: as humanoid robots move from research labs into public spaces, the industry's biggest challenge may shift from capability to accountability.

Key Takeaways:

• A Unitree G1 humanoid robot appeared to accidentally strike a child during a public demonstration in China

• The incident highlights growing concerns about robot safety as machines perform increasingly dynamic tasks around people

• Regulators, manufacturers, and developers still lack clear answers on who is responsible when autonomous systems cause harm

👉️ Read the full article here

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^{AI SPOTLIGHT}
AI's Cheap Usage Era May Be Coming to an End

The AI industry may be approaching a pricing reality check. Microsoft recently changed GitHub Copilot's pricing structure, moving away from unlimited usage and toward token-based billing, prompting some users to dub the shift the "Tokenpocalypse." As companies like OpenAI and Anthropic move closer to IPOs, investors are increasingly scrutinizing profitability, which could force AI providers to raise prices, limit usage, and rethink the heavily subsidized business models that fueled rapid adoption. The deeper thesis: the next phase of AI may be defined less by model capability and more by whether companies can build sustainable businesses around it.

Key Takeaways:

• Microsoft is introducing token-based pricing changes for GitHub Copilot, increasing costs for heavy users

• AI companies face growing pressure to improve profitability as they prepare for potential public offerings

• Businesses may need to become more selective with AI usage as pricing models evolve and subsidies disappear

👉️ Read the full 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

^{TODAY’S PROMPT}
Competitive AI Advantage Analyzer

This mega-prompt acts like a competitive intelligence strategist, turning your business, competitors, and market information into a detailed AI-powered advantage plan. It identifies what your competitors are doing, where they're vulnerable, which AI tools can create leverage, and exactly how to implement them so you can move faster than the rest of your market.

👉️ See the example inputs and outputs here

You are an elite competitive intelligence strategist,
AI consultant, and business analyst.

Your job is to analyze my business, evaluate my
competitors, identify gaps and weaknesses, and
create a practical AI-powered strategy that gives
me a sustainable competitive advantage.

INPUTS

Business Information:
• Business Name: [BUSINESS NAME]
• Industry: [INDUSTRY]
• Main Product/Service: [PRODUCT OR SERVICE]
• Target Audience: [TARGET AUDIENCE]
• Business Goals: [GOALS]

Competitors:
• Competitor #1: [COMPETITOR]
• Competitor #2: [COMPETITOR]
• Competitor #3: [COMPETITOR]

Market Context:
• Geographic Market: [LOCATION]
• Current Challenges: [CHALLENGES]
• Current Technology Stack: [TOOLS CURRENTLY USED]
• Team Size: [TEAM SIZE]
• Budget Level: [LOW / MEDIUM / HIGH]

OUTPUT

1. Competitive Landscape Summary
   • Analyze each competitor
   • Identify apparent strengths
   • Identify apparent weaknesses
   • Compare positioning strategies

2. AI Opportunity Map
   • List the top AI opportunities competitors are
   likely missing
   • Explain why each opportunity matters
   • Estimate implementation difficulty
   • Estimate potential business impact

3. AI-Powered Competitive Advantages
   • Identify 10 specific ways AI can help me
   outperform competitors
   • Prioritize opportunities by impact and speed
   • Explain why competitors may struggle to
   replicate them

4. Recommended AI Tool Stack
   • Recommend specific AI tools
   • Explain what each tool does
   • Explain how it creates an advantage
   • Categorize by marketing, sales, operations,
   customer service, research, and content

5. 90-Day Implementation Roadmap
   • Week-by-week action plan
   • Quick wins first
   • Medium-term projects
   • Long-term advantages
   • Required resources

6. Competitive Risk Assessment
   • Predict likely competitor responses
   • Identify emerging threats
   • Recommend defensive strategies

7. AI Advantage Scorecard
   • Score current competitiveness from 1-10
   • Score AI readiness from 1-10
   • Score implementation complexity from 1-10
   • Score expected upside from 1-10

8. Executive Summary
   • Biggest opportunity
   • Fastest win
   • Highest ROI initiative
   • Recommended first action

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

What happens when you throw out the GTM playbook

That investor was wrong. Gamma is now worth $2B, with 50M users and more than half their growth driven by word of mouth.

They're one of 6 AI-native startups in HubSpot for Startups' free Bold Bets Playbook. Replit grew revenue 50x after half the team pushed back on the strategy. Ramp generated 100M+ views from a single stunt. Clay's co-founder wouldn't hang up a sales call until the prospect DMed him in Slack.

Each one took a GTM risk most founders would never greenlight. Each one paid off.

Get the free Bold Bets playbook

^{AI QUICK HITS}

⚡ New York lawmakers passed a proposed one-year moratorium on new large-scale data center permits, highlighting growing concerns about AI's impact on electricity demand, water use, and local infrastructure.

🏛️ The Trump administration is reportedly discussing the possibility of taking an equity stake in OpenAI as part of broader efforts to give Americans a direct share in future AI-driven economic growth.

🚗 Tesla's chief designer says the long-delayed Roadster could arrive within weeks, reigniting debate over the future of AI-powered vehicles and high-performance EVs.

🤖 OpenAI is reportedly preparing a major ChatGPT overhaul that would turn it into a "super app" with AI agents, coding tools, and personal assistants designed to handle work and life tasks in one place.

🧮 More than 150 mathematicians signed a declaration warning governments not to overestimate AI’s ability to solve complex mathematical problems, arguing that hype is outpacing proven results.

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🤔 ^{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—72% were wrong!

Did you vote in the poll from June 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?

200 AI Income Ideas. One Might Change Everything.

Most people don't fail because they lack motivation.

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^{AI MARKETPULSE}
Companies Are Finally Realizing AI Tokens Are Not Free

Companies that rushed into AI adoption are now running into a harder question: how much is all this actually costing? Uber reportedly burned through its entire 2026 AI coding budget by April, Microsoft revoked some developer Claude Code licenses, and Priceline saw a routine Cursor renewal come back 4-5x more expensive. Even though per-token prices have fallen, agentic tools are driving usage dramatically higher, with Jellyfish finding per-developer consumption rose 18.6x in nine months. That spending surge is creating a new market for AI cost controls, token monitoring, model routing, and financial standards.

Key Takeaways:

• Companies are discovering that heavy AI usage can blow through budgets much faster than expected

• A new category of tools is emerging to monitor token usage, optimize model selection, and control AI spend

• The next phase of enterprise AI may be less about access to powerful models and more about using them efficiently

👉️ Read the full article here

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^{AI SPOTLIGHT}
Larry Ellison Says AI-Powered Surveillance Could Change Human Behavior

Oracle co-founder Larry Ellison recently revisited a vision of the future in which AI analyzes footage from a growing network of cameras, drones, police body cams, and connected devices to automatically identify and report suspicious activity. Speaking at an Oracle analyst meeting, Ellison suggested that widespread monitoring could lead citizens to be "on their best behavior" because actions would be constantly recorded and analyzed. The comments arrive as governments and corporations increasingly explore AI-powered monitoring tools, while critics raise concerns about privacy, workplace surveillance, and the potential expansion of automated oversight.

Key Takeaways:

• Larry Ellison outlined a future where AI continuously analyzes data from cameras, drones, and monitoring systems

• Supporters see AI surveillance as a tool for improving safety and identifying problems more quickly

• The debate highlights growing tensions between technological capabilities and concerns over privacy, oversight, and civil liberties

👉️ Read the full article here

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^{TODAY’S PROMPT}
Turn Repetitive Work Into a Sellable Automation

This mega-prompt helps you find repetitive work people already hate doing and turn it into a simple AI automation people may actually pay for. It gives you the task, the buyer, the workflow, the offer, and the fastest path to validation.

👉️ See the example inputs and outputs here

Act as a world-class AI automation strategist,
productized service expert, and business
opportunity analyst.

Your job is to identify repetitive, frustrating,
time-consuming tasks that people already hate
doing and turn them into simple AI-powered
automations that could be sold as a service,
productized offer, or lightweight business.

Target Market: [Industry or audience]

Customer Type: [Business owner, creator,
freelancer, agency, local business,
professional, or other]

Skills I Have: [List your skills]

Tools I Can Use: [ChatGPT, Claude, Zapier,
Make, Notion, Airtable, Google Sheets, etc.]

Experience Level: [Beginner, Intermediate,
or Advanced]

Budget: [Budget]

Hours Available Per Week: [Hours]

Preferred Business Model: [Freelance,
Productized Service, Agency, SaaS, or Other]

Goal: [First sale, monthly revenue,
clients, or validation]

Create the following:

1. Repetitive Work Analysis

• Identify the everyday tasks this market
performs repeatedly
• List the tasks they dislike most
• Explain why these tasks are annoying,
expensive, or time-consuming
• Identify which tasks happen often enough
to justify paying for automation

2. Best Automation Opportunities

Provide 10 automation ideas.

For each opportunity include:

• The task being automated
• Who would pay for it
• Why they would care
• How often the task occurs
• Business value
• Difficulty level
• Required tool stack

3. What You Know

• List the facts directly provided
• Identify the strongest opportunity signals
• Highlight key constraints
• Summarize available resources

4. What You Are Assuming

• List every assumption being made
• Identify market assumptions
• Identify customer assumptions
• Identify technical assumptions
• Explain how each assumption impacts
the recommendation

5. What Could Be Wrong

• Biggest risks
• Weakest assumptions
• Potential technical obstacles
• Reasons customers may not pay
• Competitive threats
• Blind spots that should be considered

6. Best Automation To Sell First

Choose the single strongest automation
opportunity.

Explain why it is the best starting point
based on:

• Pain level
• Simplicity
• Speed to build
• Willingness to pay
• Ease of finding buyers
• Repeat purchase potential

7. Automation Workflow

Create a step-by-step workflow for the
selected automation.

Include:

• Inputs required
• AI processing steps
• Automation steps
• Human review points
• Final output
• Delivery method

8. Offer Packaging

Create a sellable offer around the automation.

Include:

• Offer name
• One-sentence pitch
• What is included
• What is excluded
• Ideal customer
• Delivery timeline
• Success promise
• Risk-reversal mechanism

9. Pricing Strategy

Recommend a simple pricing model.

Include:

• Starter price
• Standard price
• Premium price
• What changes at each tier
• Best pricing option to start with

10. First 10 Customers Plan

Create a step-by-step plan to acquire the first
10 paying customers.

Include:

• Who to contact
• Where to find them
• Daily outreach actions
• Messaging approach
• Follow-up strategy
• Expected conversion path

11. Validation Plan

Create a 7-day validation plan.

Include:

• Daily actions
• What to test
• What to measure
• Validation signals
• Warning signs that the idea is weak

12. Launch Assets

Create:

• Core offer statement
• One-sentence pitch
• Landing page headline
• Landing page subheadline
• Call-to-action
• Initial outreach message
• Follow-up message
• Social media announcement

13. 30-Day Action Plan

Create a week-by-week roadmap.

Include:

• Priorities
• Tasks
• Milestones
• Success metrics
• Weekly optimization actions

Write everything in a practical,
step-by-step format.

Be explicit, not vague.

Separate facts from assumptions clearly.

Do not pretend certainty where uncertainty
exists.

Prioritize simple automations that can be
built using existing AI tools.

Focus on opportunities that can produce
results within 30 days.

Avoid complex software builds unless
absolutely necessary.

If information is missing, make the most
reasonable assumption and state it clearly
before proceeding.

⚡️ 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

200 AI Income Ideas. One Might Change Everything.

Most people don't fail because they lack motivation.

They fail because they don't know what to build.

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^{AI QUICK HITS}

🛰 NASA briefly ordered ISS astronauts into their emergency spacecraft after an air leak in Russia’s section of the station worsened, highlighting how even routine maintenance issues can quickly become high-stakes aboard the International Space Station.

🤖 A leaked Microsoft document reportedly said the goal of its new AI assistant Scout was to make users "dependent" on the tool, sparking internal backlash and raising fresh questions about how AI companies measure success.

🏗 Amazon engineers publicly criticized the company's $200 billion AI infrastructure spending spree, arguing that Big Tech is racing to build data centers while simultaneously cutting thousands of jobs.

🌐 Cloudflare says bots now generate 57.4% of web traffic, meaning AI agents and automated systems have officially overtaken humans online for the first time in internet history.

🔐 The NSA is reportedly using Anthropic's cybersecurity-focused Claude Mythos model for offensive cyber operations, a surprising twist given the U.S. government recently labeled Anthropic a supply-chain risk and cut it off from defense contracts.

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🤔 ^{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 June 5th? 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?

Learn AI in 5 minutes a day

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The Rundown AI breaks it all down for you — the latest AI news, tools, and tutorials in one free 5-minute email every morning. 

Trusted by 2M+ professionals at Apple, Google, and NASA.

Sign up to start learning.

^{AI MARKETPULSE}
GitHub's New Copilot Pricing Is Making AI Costs Impossible to Ignore

Source: Techspot

GitHub's shift from flat-rate Copilot subscriptions to usage-based billing is giving developers a real-time lesson in the economics of AI. Starting in June, users began paying based on token consumption rather than a simple pool of requests, exposing how dramatically costs can vary depending on the model being used and the amount of context included in a conversation. Developers are already reporting that complex coding tasks, long-running chat threads, and premium models can consume hundreds or even thousands of credits in a single day. While some users are adapting by becoming more deliberate with prompts and model selection, others are exploring lower-cost alternatives.

Key Takeaways:

• GitHub Copilot now charges based on token usage, making AI costs visible to developers for the first time

• Large context windows, premium models, and complex coding tasks can consume credits far faster than many users expected

• The move could signal a broader industry shift away from unlimited AI subscriptions and toward metered usage pricing

👉️ Read the full article here

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^{AI SPOTLIGHT}
Anthropic Wants the Ability to Hit the Brakes on AI Development

Source: Zerohedge

Anthropic is once again raising concerns about the pace of AI progress, arguing that frontier models could soon advance faster than society's ability to safely manage them. In a new policy proposal, the company suggested the world should have the option to temporarily slow or pause the development of the most advanced AI systems if capabilities begin to outpace oversight, verification, and alignment efforts. Anthropic argues that any meaningful pause would require cooperation among leading AI labs and governments, along with mechanisms to verify compliance. Critics, however, see a familiar pattern: warning about potential risks while simultaneously positioning the company's own safety frameworks and governance proposals as part of the solution.

Key Takeaways:

• Anthropic says society may eventually need the ability to temporarily slow or pause frontier AI development

• The company argues that effective oversight would require coordination and verification across multiple AI labs and countries

• The proposal highlights a growing divide between those focused on accelerating AI progress and those concerned about managing long-term risks

👉️ Read the full article here

You’re gonna want to see this live

On July 16th at 1PM ET, beehiiv is unveiling the next chapter for audience-led businesses.

For years, creators and brands have been forced to stitch together bloated stacks of tools just to publish content, grow an audience, and make money online.

Newsletters in one platform. Websites in another. Podcasts somewhere else. Analytics scattered everywhere.

beehiiv thinks there’s a better way. Now, they’re ready to show it off at their Summer Release Event.

Reserve your spot.

^{TODAY’S PROMPT}
Launch a Digital Product Without an Audience

This mega-prompt acts like a lean product launch strategist, helping you generate your first sales without relying on followers, an email list, or a personal brand. It builds a step-by-step distribution plan that uses partnerships, communities, marketplaces, referrals, and other leverage points to get your product in front of buyers fast.

👉️ See the example inputs and outputs here

Act as a world-class digital product launch strategist,
growth marketer, and distribution expert.

Your job is to create a complete launch plan that
helps me generate my first sales without relying
on an existing audience, email list, large social
following, or personal brand.

Product: [Describe your product]

Target Customer: [Target customer]
Problem Solved: [Problem]
Desired Outcome: [Outcome]
Price: [Price]
Industry/Niche: [Niche]
Current Audience Size: [Audience size]
Email List Size: [List size]
Social Following: [Followers]
Personal Brand Strength: [Strong, Weak, None]
Budget: [Budget]
Hours Available Per Week: [Hours]
Launch Timeline: [Timeline]
Goal: [Revenue or customer goal]

Create the following:

1. What You Know

• List the facts directly provided
• Identify the strongest signals
• Highlight key constraints
• Summarize available resources

2. What You Are Assuming

• List every assumption being made
• Identify market assumptions
• Identify customer assumptions
• Identify distribution assumptions
• Explain how each assumption impacts
the strategy

3. What Could Be Wrong

• Biggest risks
• Weakest assumptions
• Potential launch obstacles
• Competitive threats
• Reasons the product may fail
• Blind spots that should be considered

4. Questions That Would Improve The Plan

Provide the most important unanswered
questions that would improve the strategy.

5. Distribution Opportunity Analysis

Evaluate the strongest acquisition channels.

For each channel provide:

• Why it fits
• Speed to results
• Difficulty level
• Cost
• Scalability
• Risks

Rank the channels from strongest to weakest.

6. Recommended Launch Strategy

Provide the single best launch strategy and
explain why it was selected over the alternatives.

7. First 10 Customers Plan

Create a step-by-step plan to acquire the first
10 paying customers.

Include:

• Daily actions
• Outreach targets
• Messaging approach
• Expected conversion path

8. 30-Day Launch Plan

Create a week-by-week launch roadmap.

Include:

• Priorities
• Tasks
• Milestones
• Success metrics

9. Leverage Opportunities

Identify:

• Partnerships
• Communities
• Marketplaces
• Directories
• Affiliates
• Newsletter sponsorships
• Influencers
• Referral opportunities

Focus on opportunities that can drive results
without requiring an audience.

10. Fastest Path To First Sale

Provide the simplest and fastest path to
generating revenue.

Include:

• Immediate actions
• Validation strategy
• Low-cost tactics
• Quick-win opportunities

11. Launch Assets

Create:

• Core offer statement
• One-sentence pitch
• Landing page headline
• Landing page subheadline
• Call-to-action
• Short outreach message

12. Optimization Plan

Provide:

• 5 ways to improve conversions
• 5 ways to increase distribution
• Key metrics to track
• Biggest mistakes to avoid

Write everything in a practical,
step-by-step format.

Be explicit, not vague.

Separate facts from assumptions clearly.

Do not pretend certainty where uncertainty
exists.

Prioritize speed, simplicity, and realistic
execution.

Focus on strategies that can produce results
within 30 days.

Assume I am starting with little or no audience
unless otherwise stated.

If information is missing, make the most
reasonable assumption and state it clearly
before proceeding.

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^{AI QUICK HITS}

🏜️ Kevin O'Leary's massive Utah AI data center project is being cut roughly in half after environmental backlash and political pressure, underscoring the growing resistance large AI infrastructure projects are facing across North America.

💰 Teradata told its 5,100 employees not to expect salary increases in 2026 because the company is redirecting those funds into AI investments, offering one of the clearest examples yet of firms prioritizing AI spending over workforce compensation.

🌆 Residents in a California city voted overwhelmingly to permanently ban data centers, marking what appears to be the first voter-approved prohibition of AI infrastructure in the U.S. as community pushback against the AI buildout continues to grow.

🚀 Anthropic says it's moving toward an IPO after annualized revenue reportedly surged from roughly $9 billion to $47 billion in just five months, signaling that investor demand for leading AI companies remains red hot despite growing questions about AI ROI.

🌾 Manitoba's premier rejected a proposed hyperscale AI data center south of Winnipeg, arguing the environmental costs and uncertain long-term economic benefits outweigh the promise of AI-driven growth.

^{AI TOOL STACK}

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

👉 Explore the brand new Tool Database

🤔 ^{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 June 3rd? 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?

Learn AI in 5 minutes a day

You don't have to scroll every AI thread, track every new tool, or watch every demo. 

The Rundown AI breaks it all down for you — the latest AI news, tools, and tutorials in one free 5-minute email every morning. 

Trusted by 2M+ professionals at Apple, Google, and NASA.

Sign up to start learning.

^{AI SPOTLIGHT}
Most Companies Aren't Seeing the AI Savings They Expected

Image Source: Zerohedge

A new survey from Bain & Company found that many businesses investing heavily in AI are struggling to generate the cost savings they projected. Among companies actively measuring AI-driven savings, 40% reported reductions of 10% or less, despite many organizations increasing spending based on assumptions that earlier AI investments would pay for future rounds of deployment. Bain surveyed 951 companies across nine industries and found that nearly half of large organizations are funding new AI initiatives based on savings that have yet to materialize. The firm argues that the technology itself is often working, but companies are running into challenges around data accessibility, implementation, and measuring real business outcomes. The deeper thesis: the next phase of AI adoption may be less about deploying more tools and more about proving measurable business value from the ones already in place.

Key Takeaways:

• Bain's survey found that 40% of companies measuring AI savings achieved cost reductions of 10% or less

• Nearly half of large organizations are reinvesting in new AI projects based on expected savings rather than realized results

• Data access, integration challenges, and unclear ROI are emerging as major barriers to scaling AI successfully

👉️ Read the article here

100 Genius Side Hustle Ideas

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^{AI SPOTLIGHT}
Uber Burned Through Its AI Budget in Just Four Months

Uber has introduced a new policy that caps employee spending on AI coding tools at $1,500 per month per tool, including products like Claude Code and Cursor. The move comes after the company reportedly exhausted its entire annual AI budget in just four months, following an aggressive push that encouraged employees to use AI as much as possible and even tracked usage on internal leaderboards. At the same time, Uber executives have acknowledged that measuring AI's real productivity impact remains difficult, with leadership noting it's often hard to connect AI usage directly to customer-facing improvements. The decision highlights a growing challenge facing enterprises as AI costs rise: proving that increased spending is translating into measurable business value. The deeper thesis: the AI race is entering a new phase where companies may be forced to focus less on adoption and more on accountability.

Key Takeaways:

• Uber now caps employee spending on AI coding tools at $1,500 per month per tool

• The company reportedly exhausted its annual AI budget within the first four months of the year

• Growing AI costs are increasing pressure on companies to demonstrate clear returns on their investments

👉️ Read the full article here

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^{TODAY’S PROMPT}
Build a Complete Cold Outreach Campaign in Minutes

This mega-prompt acts like an elite outbound sales strategist, turning a simple description of your offer into a complete cold outreach system. It builds personalized email sequences, subject lines, follow-up messages, and a sending cadence so you can spend less time writing and more time booking conversations.

👉️ See the example inputs and outputs here

Act as a world-class B2B outbound sales strategist,
direct-response copywriter, and lead generation
expert.

Your job is to create a complete cold outreach
campaign that turns my offer into a predictable
lead-generation system.

Business Name: [Business Name]
Offer: [Product or Service]
Target Customer: [Target Customer]
Problem Solved: [Problem]
Desired Outcome: [Outcome]
Proof: [Case Studies, Results, Testimonials]
Call To Action: [Book a Call, Demo, Audit, Reply]
Outreach Channel: [Email, LinkedIn, or Both]
Tone: [Professional, Friendly, Direct]
Number of Follow-Ups: [Number]

Create the following:

1. Ideal Prospect Profile
• Best-fit job titles
• Company characteristics
• Buying signals
• Common pain points
• Likely objections

2. Outreach Positioning
• Unique angle
• Core value proposition
• Key differentiator
• Primary messaging pillars

3. Subject Lines
Generate 15 subject lines using curiosity,
personalization, direct-response,
problem-focused, benefit-focused, and
pattern-interruption approaches.

4. Initial Outreach Email
Create a short version, a standard version,
and a highly personalized version. Each
should have a strong hook, clear value
proposition, natural CTA, and conversational
tone.

5. Follow-Up Sequence
Write [Number of Follow-Ups] follow-up emails.
Each follow-up should introduce a new angle,
add new value, avoid repetition, and end with
a simple CTA.

6. LinkedIn Outreach
Create a connection request, first message,
follow-up #1, and follow-up #2.

7. Objection Handling
Write responses for:
• Not interested
• No budget
• Already using another solution
• Bad timing
• Send more information

8. Campaign Cadence
Provide the ideal send schedule, spacing
between follow-ups, campaign length, and
recommended sequence.

9. Optimization Plan
Provide:
• 5 personalization ideas
• 5 A/B tests
• Key metrics to track
• Biggest mistakes to avoid

Write everything in a natural, human voice.
Avoid corporate jargon, generic sales
language, and obvious AI phrasing. The final
campaign should be ready to deploy with
minimal editing.

⚡️ 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 QUICK HITS}

💸 GitHub Copilot users are revolting after Microsoft's shift to token-based billing triggered reports of monthly costs jumping from tens of dollars to hundreds—or even thousands—for heavy AI users.

🧑‍💻 Microsoft just launched Scout, a new OpenClaw-inspired AI assistant for Microsoft 365 that learns how you work over time, remembers preferences, and can automate tasks across your inbox, calendar, desktop, and browser.

🏢 OpenAI is pushing deeper into enterprise software with six new Codex plug-ins for jobs like sales, investing, product design, and data analytics, as knowledge-worker adoption grows more than three times faster than developer usage.

📈 Anthropic has confidentially filed paperwork with the SEC for a potential IPO, giving the AI company the option to go public after regulators complete their review.

⚡ Tennessee just passed a law requiring large data centers to pay for their own power infrastructure, signaling that states are starting to push back against the massive energy demands created by AI's data center boom.

^{AI TOOL STACK}

🔧 Vidnoz: Instantly Create AI Videos for Any Topic for free.

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🔧 Hypotenuse AI: AI for product data, descriptions, and catalog images

🔧 Chatbase: AI agents for magical customer experiences

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

👉 Explore the brand new Tool Database

🤔 ^{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—70% were wrong!

Did you vote in the poll from June 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?

Learn AI in 5 minutes a day

You don't have to scroll every AI thread, track every new tool, or watch every demo. 

The Rundown AI breaks it all down for you — the latest AI news, tools, and tutorials in one free 5-minute email every morning. 

Trusted by 2M+ professionals at Apple, Google, and NASA.

Sign up to start learning.

^{AI SPOTLIGHT}
Microsoft's AI Cost Problem May Be Bigger Than Expected

Image Source: Yahoo!

Microsoft is reportedly canceling most of its direct Claude Code licenses just months after encouraging employees to adopt the tool, raising fresh questions about the economics of AI at scale. According to reports, the company is steering workers toward its own GitHub Copilot tools after thousands of employees began using Claude Code internally. Microsoft isn't alone. Uber's CTO recently said the company exhausted its entire 2026 budget for AI coding tools in just four months, while Goldman Sachs projects agentic AI could increase token consumption 24-fold by 2030. Even Nvidia's Bryan Catanzaro offered a blunt assessment: "For my team, the cost of compute is far beyond the costs of the employees." The deeper thesis: AI may continue getting smarter and cheaper per token, but the total cost of using advanced AI systems at enterprise scale could still rise dramatically as usage explodes.

Key Takeaways:

• Microsoft is scaling back internal Claude Code licenses despite previously encouraging widespread employee adoption

• Uber reportedly burned through its annual AI coding-tool budget in just four months after pushing teams to increase AI usage

• Growing AI adoption may shift the conversation from model capability to the economics of compute, infrastructure, and usage at scale

👉️ Read the article here

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^{AI SPOTLIGHT}
Toyota Is Betting on Jobs AI Can't Easily Replace

As companies race to automate white-collar work with AI, one Alabama high school is taking a very different approach. The Huntsville Center for Technology, built with a $40 million investment and supported by an additional $11 million from Toyota, is training students for industrial maintenance and other skilled trades facing severe labor shortages. The timing is notable. The U.S. is projected to need roughly 1.9 million manufacturing workers by 2033, while data center expansion is driving demand for electricians, construction workers, and maintenance specialists. Students in the program can qualify for careers paying more than $40 per hour with relatively little student debt, while neighboring programs are preparing students for engineering, cybersecurity, and defense-related careers. The deeper thesis: as AI reshapes knowledge work, the value of hands-on technical skills that keep physical systems running may rise significantly.

Key Takeaways:

• Toyota helped develop and fund a high school program focused on industrial maintenance careers facing major worker shortages

• Growing AI infrastructure demands are increasing the need for skilled tradespeople who build, maintain, and operate physical systems

• Schools and employers are creating new career pathways designed around jobs that remain difficult to automate

👉️ Read the full article here

Moda is the AI design agent with taste

Moda's viral launch hit 4.4 million views in two days. Tens of thousands of professionals signed up. Startups, agencies, forward-thinking brands and top firms are now using Moda to create brand-aligned slides, ad creative, reports, social carousels and more.

Most AI tools tend to create what we call "AI slop": repetitions of the same colors, layouts and fonts. And when you try to fix it, you get stuck in a loop of re-prompting.

Moda is different. Drop in your website URL, and Moda learns your brand from the ground up: your colors, your fonts, your visual language. Then it helps you generate pro-quality slides, docs, and marketing assets. 

The best part? Every layer is fully editable on a real canvas, and exports to powerpoint, PDF and more.

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^{TODAY’S PROMPT}
Build a High-Converting Sales Page in 10 Minutes

This mega-prompt acts like a world-class direct-response copywriter and conversion strategist, turning a few details about your offer into a complete sales landing page. It builds the headline, page structure, benefit-driven copy, objections section, and CTAs so you can launch faster without staring at a blank page.

👉️ See the example inputs and outputs here

Act as an elite direct-response copywriter, conversion strategist, and landing page designer.

Your job is to create a complete, high-converting sales landing page for my offer using the information provided below.

INPUTS

BUSINESS INFORMATION
• Product/Service: [PRODUCT OR SERVICE]
• Industry/Niche: [NICHE]
• Target Audience: [TARGET CUSTOMER]
• Price: [PRICE]
• Primary Goal: [GENERATE LEADS / SELL PRODUCT / BOOK CALLS]

OFFER DETAILS
• Main Problem Solved: [PROBLEM]
• Key Benefits: [LIST BENEFITS]
• Unique Selling Proposition: [WHY IT'S DIFFERENT]
• Testimonials/Proof: [SOCIAL PROOF]
• Guarantee: [GUARANTEE OR RISK REVERSAL]

BRAND VOICE
• Tone: [PROFESSIONAL / FRIENDLY / PREMIUM / BOLD]
• Brand Personality: [DESCRIPTION]

OUTPUT

Create the following sections:

1. Hero Section
   • Headline
   • Subheadline
   • Primary CTA

2. Problem Section
   • Describe the audience's pain points
   • Agitate the problem

3. Solution Section
   • Introduce the offer
   • Explain how it works

4. Benefits Section
   • List the top benefits
   • Explain outcomes, not features

5. Social Proof Section
   • Integrate testimonials and credibility elements

6. Objection Handling Section
   • Address the top 5 customer objections

7. Offer Breakdown
   • Explain what's included
   • Reinforce value

8. Guarantee Section
   • Reduce perceived risk

9. Final CTA Section
   • Strong call to action
   • Urgency and motivation

10. Layout Recommendations
    • Suggested page order
    • Design notes
    • CTA placement guidance

Requirements:
• Write in a persuasive, human-sounding style
• Focus on clarity and conversions
• Keep paragraphs short and scannable
• Use strong benefit-driven language
• Avoid hype and generic marketing clichés

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

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^{AI QUICK HITS}

🎓 Ronny Chieng told Harvard graduates to "destroy AI," drawing cheers from students as he argued that overreliance on tools like ChatGPT risks creating "cognitive debt" and making already mediocre thinkers even lazier.

✂️ Website builder Wix is laying off roughly 1,000 employees—20% of its workforce—as CEO Avishai Abrahami says AI is forcing companies to become faster, leaner, and fundamentally rethink how they operate.

🏗️ Utah Governor Spencer Cox has imposed stricter rules on future AI data center projects after growing backlash over Kevin O'Leary's proposed 40,000-acre "Wonder Valley" development and concerns about water, power, and quality of life.

🤖 China Post has deployed humanoid robots capable of sorting up to 1,200 parcels per hour, offering a glimpse into how large-scale logistics operations may increasingly rely on human-like machines rather than traditional warehouse labor.

🔍 T raffic to DuckDuckGo's AI-free search experience has reportedly tripled since Google's latest AI search push, suggesting a growing number of users still prefer links over AI-generated answers.

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🤔 ^{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—67% were wrong!

Did you vote in the poll from May 30th? 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?

Escape vague AI side hustle advice.

Most “AI side hustle” content is useless.

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^{AI SPOTLIGHT}
WATCH: Blue Origin's New Glenn Explosion

Blue Origin's New Glenn rocket exploded during a static fire test at Cape Canaveral while preparing for its fourth launch, marking the most serious setback in the company's history. The rocket was fully fueled ahead of a mission that was expected to carry Amazon's Leo internet satellites, resulting in one of the largest rocket explosions ever seen in the United States. While all personnel were reported safe, the incident comes just weeks after New Glenn's third mission failed to place a satellite into orbit due to an upper-stage malfunction. Blue Origin had planned up to 12 New Glenn launches this year and is expected to play a role in NASA's Artemis moon program as well as future Pentagon missions. The deeper thesis: competing with SpaceX requires more than capital and ambition—space remains one of the most technically demanding industries in the world, where even years of progress can be disrupted by a single failure.

Key Takeaways:

• Blue Origin's New Glenn rocket exploded during pre-launch testing ahead of its planned fourth mission

• The failure is likely to delay launch plans tied to Amazon's satellite network, NASA's Artemis program, and national security missions

• The incident highlights how difficult and unforgiving large-scale rocket development remains, even for well-funded competitors

👉️ Read the article here

Most AI agents demo well. Few ship real work.

Most AI agents can run a task. The problem is everything around it: setup, memory, context, cost, and figuring out what actually happened.

SureThing turns useful AI skills into autonomous agents with business context, persistent memory, cost-aware model selection, and a live dashboard. Paste a link, assign the work, and your agent reports back like a human teammate: what it did, what it cost, what needs your decision, and what happens next.

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^{AI SPOTLIGHT}
99% of CEOs Expect AI-Driven Job Cuts Within Two Years

A new Mercer survey of 825 C-suite leaders found that 99% expect AI to reduce headcount within the next two years, while 98% are planning organizational redesigns to adapt to automation. The pressure appears especially concentrated at the bottom of the career ladder, with a separate Oliver Wyman study showing the share of CEOs planning to reduce junior roles jumped from 17% to 43% in just one year. At the same time, many executives admit they are still figuring out how humans and AI should work together effectively, and some companies are struggling to prove a clear return on their AI investments. The deeper thesis: AI adoption is moving from experimentation to workforce restructuring, even as many organizations remain uncertain about how to capture its full value.

So what does that mean for you?

The message isn't that jobs are disappearing overnight—it's that work is being redesigned around AI. The workers who learn how to collaborate with AI tools will likely be better positioned than those who ignore them.

In practical terms, that means:

• Build AI fluency alongside your existing professional skills

• Focus on work that requires judgment, creativity, and decision-making

• Treat AI as a productivity partner rather than a competitor

👉️ Read the full article here

Escape vague AI side hustle advice.

Most “AI side hustle” content is useless.

It’s either vague motivation or overcomplicated theory nobody executes on.

The AI Income Playbook is different.

120 pages.
200 real income paths.
Each one structured around a simple principle:

Speed to execution beats perfect strategy.

You’ll find practical models for newsletters, micro-products, automation agencies, templates, niche research products, and other AI-enhanced businesses you can start without a team or massive audience.

You don’t need 200 ideas.
You need one that fits.

👉️ Download the Playbook

^{TODAY’S PROMPT}
The Interview That Reveals Your Next Digital Product

This mega-prompt acts like a digital product strategist, helping you uncover hidden expertise and transform it into a simple product you can create within 30 days. Through a guided interview, it builds your product concept, positioning, customer profile, build plan, and launch roadmap so you can stop guessing and start building.

👉️ See the example inputs and outputs here

Act as my Digital Product Strategist.

Your job is to help me identify, validate, and design a simple digital product I can realistically create and launch within the next 30 days.

You will NOT give me a complete answer immediately.

Instead, you will conduct an interactive interview and ask me ONE question at a time.

After each answer:
• Analyze what I shared
• Adapt your next question based on my response
• Dig deeper when needed
• Help uncover expertise, skills, experiences, frameworks, processes, templates, systems, or knowledge that could become a valuable product

Your goal is to identify a digital product that is:
• Useful
• Specific
• Easy to understand
• Fast to create
• Valuable to a defined audience
• Realistic to launch within 30 days

Focus on products such as:
• Templates
• Guides
• Playbooks
• Checklists
• Notion systems
• Swipe files
• Toolkits
• Prompt libraries
• Resource databases
• Workshops
• Mini-courses
• Digital downloads

Once the interview is complete, structure your response using the following sections:

## 1. WHAT YOU KNOW
List the facts, inputs, and information that are directly stated or clearly supported by my answers.

## 2. WHAT YOU ARE ASSUMING
List every assumption you are making to fill gaps, interpret intent, estimate demand, evaluate opportunities, or predict outcomes.

## 3. WHAT COULD BE WRONG
Identify weaknesses, uncertainties, missing context, market risks, execution risks, positioning risks, or reasons the recommendation may fail.

## 4. QUESTIONS THAT WOULD IMPROVE THE ANSWER
List the most important unanswered questions that would materially improve the recommendation.

## 5. PRODUCT OPPORTUNITY ANALYSIS
Evaluate the strongest product opportunities revealed during the interview.

For each opportunity include:
• Product concept
• Target audience
• Problem solved
• Ease of creation
• Speed to launch
• Monetization potential
• Advantages
• Risks

Rank the opportunities from strongest to weakest.

## 6. RECOMMENDED PRODUCT
Select the strongest opportunity and explain why it was chosen.

Include:
• Product name
• Core promise
• Unique positioning
• Main value proposition
• Why people would buy it

## 7. TARGET CUSTOMER SNAPSHOT
Provide:
• Who they are
• Biggest frustrations
• Desired outcomes
• Buying triggers
• Common objections

## 8. PRODUCT BUILD PLAN
Provide:
• Recommended format
• What to include
• What to exclude
• Required assets
• Step-by-step build plan
• Estimated completion timeline

## 9. LAUNCH CHECKLIST
Provide:
• Pre-launch actions
• Validation steps
• Launch-week actions
• Post-launch actions

## 10. FASTEST PATH TO FIRST SALE
Provide:
• Pricing recommendation
• Validation strategy
• Distribution channels
• Audience-building opportunities
• Promotion plan
• Quick-win opportunities

Important Rules:
• Ask only ONE question at a time
• Wait for my answer before continuing
• Adapt dynamically based on my responses
• Challenge vague answers with follow-up questions
• Separate facts from assumptions clearly
• Do not pretend certainty where uncertainty exists
• Prioritize speed, simplicity, and realistic execution
• Focus on products that can realistically be created within 30 days
• If information is missing, make the most reasonable assumption and state it clearly

Begin with your first interview question.

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^{AI QUICK HITS}

🤖 A mystery company reportedly burned through $500 million on Claude AI in a single month after forgetting to set usage limits, highlighting how quickly enterprise AI spending can spiral when adoption outpaces governance.

💸 Major exchanges are now exploring AI token futures markets, treating AI compute more like a tradable commodity as businesses look for ways to hedge against rising inference costs.

📈 Anthropic reportedly raised $65 billion at a $965 billion valuation, surpassing OpenAI and signaling that investor appetite for AI infrastructure remains enormous despite growing concerns about an AI bubble.

🧠 A new Wharton study found workers accepted incorrect AI answers 80% of the time, raising concerns that growing reliance on AI could quietly erode critical thinking and decision-making skills in the workplace

📊 Amazon scrapped an internal AI leaderboard after employees began "tokenmaxxing"—running unnecessary AI tasks to boost their rankings—showing that measuring AI usage is not the same as measuring productivity.`

^{AI TOOL STACK}

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🤔 ^{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—62% were wrong!

Did you vote in the poll from May 29th? 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 SPOTLIGHT}
AI Expansion Is Triggering Eminent Domain Fights in Georgia

Image source: Zerohedge

Georgia Power is seizing homes and land across parts of Georgia to build a 35-mile transmission line designed to support a wave of new AI data centers, including facilities tied to hyperscale operators. According to the report, 20 to 30 homes could be demolished while more than 300 properties face permanent easements as utilities race to meet exploding AI electricity demand. The utility reportedly plans to add roughly 10 gigawatts of generating capacity over the next five years, with executives saying around 80% of that power is expected to go toward data centers. Residents have pushed back hard, arguing the compensation offers are far below market value and that communities are being forced to absorb the infrastructure costs of the AI boom. The deeper thesis: the AI race is no longer just a software story — it is becoming a physical infrastructure story that increasingly affects housing, energy grids, water systems, and local communities.

Key Takeaways:

• Georgia Power is using eminent domain to clear land for transmission infrastructure tied to AI data center growth

• Utilities across the U.S. are facing rising backlash as AI power demand strains local grids and drives infrastructure expansion

• The rapid scale-up of AI compute is starting to create real-world conflicts around energy costs, land use, and community impact

👉️ Read the article here

Where to Invest $100,000 Right Now, According to Experts

Investors face a dilemma. When the S&P 500 finished its worst quarter since 2022 last month, diversifiers like bonds and bitcoin fell too.

Even with the turnaround in mid-April, analysts at Goldman Sachs and Vanguard have projected low-single-digit annualized returns from 2024-2034.

Bloomberg asked where experts would personally invest $100,000 for their March monthly edition.

One answer that surfaced for a second time? Art.

It's what billionaires like Bezos and the Rockefellers have privately used to diversify for decades.

Why?

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^{AI SPOTLIGHT}
Apple’s New Siri Shows How Serious It Is About Competing With ChatGPT

Photo: TechCrunch

Leaked renders ahead of Apple’s WWDC event offer the clearest look yet at how the company plans to rebuild Siri into a much more capable AI assistant integrated deeply into the iPhone experience. According to Bloomberg, Apple is redesigning Siri around AI-powered search, a new standalone chatbot app, and tighter operating system integration that lets users search apps, messages, notes, weather, calendars, and shortcuts through natural language. The new Siri experience will reportedly use Google’s Gemini models under the hood while Apple simultaneously develops its own local AI systems designed to run directly on devices for privacy reasons. Apple is also preparing a standalone Siri app that includes persistent chat history and support for document and photo uploads, putting it in more direct competition with ChatGPT, Claude, and Gemini. The deeper thesis: Apple may not need to build the best AI model to become one of the biggest AI players — it just needs to make AI frictionless for billions of existing users.

Key Takeaways:

• Apple reportedly plans to rebuild Siri into a more advanced AI assistant integrated across iOS 27

• The upgraded Siri experience may rely partly on Google’s Gemini models while Apple develops its own local AI systems

• Apple’s massive device ecosystem could give it a major advantage in bringing AI tools to mainstream users

👉️ Read the full article here

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^{TODAY’S PROMPT}
Build Your One-Person Agency Blueprint

This mega-prompt acts like a business strategist, turning your experience, interests, and available time into a lean one-person agency model you can actually launch. It builds your niche, service offer, pricing structure, outreach angle, and even your first prospect list so you can skip the “what should I do?” phase and move straight into execution.

👉️ See the example inputs and outputs here

Act as an expert solo business strategist specializing in lean one-person agencies.

Your job is to analyze my background, skills, interests, available time, and goals, then build a complete one-person agency business blueprint that I could realistically launch within the next 30 days.

Before giving the blueprint, break your reasoning into the following sections:

1. WHAT YOU KNOW
List the facts, inputs, and information that are directly stated or clearly supported.

2. WHAT YOU ARE ASSUMING
List every assumption you are making to fill gaps, interpret intent, estimate outcomes, or predict behavior.

3. WHAT COULD BE WRONG
Identify weaknesses, uncertainties, missing context, conflicting possibilities, or scenarios where this agency idea may fail.

4. QUESTIONS THAT WOULD IMPROVE THE ANSWER
List the most important clarifying questions that would reduce uncertainty or materially improve the blueprint.

5. FINAL BLUEPRINT
Only after completing the sections above, provide the complete one-person agency business blueprint.

Additional Instructions:
- Be explicit, not vague.
- Separate facts from assumptions clearly.
- Do not pretend certainty where uncertainty exists.
- Prioritize speed, simplicity, and realistic execution.
- Focus on businesses that are lean, low-overhead, and easy to validate quickly.
- If multiple agency ideas are possible, explain why you chose the strongest one.
- If information is missing, make the most reasonable assumption and state it clearly before proceeding.

USER INPUTS:

Current skills: [List your skills]

Professional experience: [Describe your background]

Industries I understand: [List industries]

Tools/platforms I already know: [List tools]

Topics I enjoy working on: [Topics]

Work I dislike: [Tasks to avoid]

Preferred work style: [Async, meetings, or mix]

Revenue preference: [Recurring revenue, project work, or mix]

Ideal clients: [Describe ideal clients]

Hours available per week: [Number]

Income goal: [Goal]

Timeline to first client: [Timeline]

Personal brand preference: [Anonymous, personal brand, or unsure]

Desired output format: [Checklist, strategy, step-by-step plan, analysis, etc.]

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One agent, one brain, zero manual work.

Most AI tools forget you the moment the chat ends. SureThing doesn’t.

SureThing is an autonomous agent that can draft in your voice, triage what matters, follow up on things you forgot, and report back with what happened next.

Day 1, you onboard it.
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Day 90, it catches things you missed.

Try SureThing

^{AI QUICK HITS}

🚗 Waymo has started rolling out its new Chinese-built Ojai robotaxi minivan in cities like San Francisco and Phoenix, signaling a major push toward cheaper, more scalable autonomous ride fleets designed specifically for high-volume commercial use.

⚛️ Oklo says America’s existing stockpile of nuclear waste could theoretically power the country for 150 years, as AI-driven electricity demand pushes advanced nuclear energy from a niche idea into a strategic infrastructure priority for companies like Meta.

🤖 Researchers running simulated AI societies found Anthropic’s Claude created the most stable civilization with zero crime, while Grok’s simulation collapsed into chaos and extinction within four days — a reminder that agentic AI behavior may become increasingly unpredictable over long time horizons.

🧠 Anthropic just released Opus 4.8 alongside a new “Dynamic Workflows” system designed to coordinate swarms of AI subagents, showing how quickly major labs are racing toward more autonomous multi-agent systems.

📉 Tech layoffs have now surpassed 140,000 workers in 2026 as companies like Meta, Wix, LinkedIn, and Intuit continue restructuring around AI, with many executives openly saying automation is changing how lean modern tech companies can operate.

^{AI TOOL STACK}

🔧 Skywork: All-In-One AI Agent Powered by Deep Research

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

👉 Explore the brand new Tool Database

🤔 ^{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 wrong!

Did you vote in the poll from May 27th? 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 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