Instagram post

1 Question
If change could speak, what would it say?

1 Story
“Nothing changes if nothing changes,” he said, almost like he’d said it a thousand times before.

He told me it came from a family business that went south.
“Like a lot of family businesses… there’s this expectation that things will just get better. But they don’t. Not unless you do something.”

He left.

Since then, he’s been a DJ, a dishwasher, an envelope salesman, a professor at the College of Charleston.

Now he’s the CEO of a hospitality company.

“People don’t like change because of the fear of the unknown,” he said. “So I started small. Made little changes. Realized I could survive them.”

He paused.

“And now… I’ll take just about any leap of faith. Because I know I can make it through.”

Then, almost as an afterthought:

“You learn more from failing when you change. You figure out what not to do next time.”

1 Line of Poetry
Change isn’t hard because it’s uncomfortable. It’s hard because it makes visible what you were already choosing.

Reflection
Some people wait for things to break before they move. Others leave while everything still looks intact.

I wonder if one serves us better than the other?

I don’t know.

Oscar-Wyett Moore
Author of One Beautiful Question, Volume 1

A different kind of conversation starts here.
The Augmented Seller is becoming One Beautiful Question.

A few months ago, I was… average.
At least when it came to qualifying deals.

Like most sellers, I was moving fast, excited to get to the demo, the trial, the close. But I didn’t have a clear qualification system. I wasn’t consistently separating high-likelihood wins from long-shot opportunities.

And I didn’t even realize how much that was costing me.

The Post That Changed Everything

I was scrolling LinkedIn when I stumbled across a post from Amanda Zhu Co-founder of Recall.

It introduced a simple but powerful idea: not all deals are created equal and your qualification process should reflect that.

This one post made me rethink how I qualify deals at Scratchpad.
We made a few tweaks, added AI, and suddenly our trial win rate jumped from 40% to 75%.

Here’s how.

The Framework: Qualify by Buckets, Act with Intention

We now leverage a version of Amanda’s qualification matrix tailored to our process.

1. Fast Close

• Problem Fit: They have a problem we solve and want to solve it now.

• Buying Readiness: Leadership is ready to invest.

• ICP Fit: They align with our ideal profile, tech stack, team size, structure, etc.

These get full resources. We prioritize them in every way.

2. Education

• Problem Fit: Right problem, but leadership hasn’t committed to solving it yet.

• Buying Readiness: There’s an internal champion, but no formal approval.

• ICP Fit: They look like a great fit if we can get buy-in.

We aim to move these to Fast Close.
We’ll run 1–2 learning sessions, then use AI to generate an executive summary they can take to leadership.
If we spark interest? Fast Close.
If not? Nurture.

3. Nurture

• Problem Fit: Some signs, but not urgent enough.

• Buying Readiness: No champion. No clear intent.

• ICP Fit: Still a good fit, just not now.

These are flagged for future follow-up.

4. Disqualify

• No Problem Fit or

• No ICP Fit

These get closed out early. No time wasted.

Where AI Comes In

After 1–2 conversations, we run each deal through our Scratchpad Deal Agent which runs a prompt that outputs where a deal falls in the matrix.

The Deal Agent leverages the following context to shed light in a way we humans can’t:

• Call transcripts

• Notes

• Salesforce fields

• Relevant files or docs

• emails (coming soon)

It then recommends which bucket the deal falls into, based on a tailored qualification matrix.

This isn’t replacing human intuition it’s sharpening it.

It gives us a second set of (very smart) eyes to pressure test where a deal stands and how we should progress it.

The Outcome: Clarity and Confidence

Today, when I look at our trial pipeline, I don’t feel guesswork.
I feel certainty.

Every trial in flight is a deal we believe we’ll win and that changes everything.
It changes how we show up. How we allocate time. How we close.

And the results speak for themselves.

Want to see V1 of the Qualification Matrix I built?

Premium subscribers can access it below.

What If You Could See Into the Future Before You Hit Send?

As sellers, we’re typically hitting send on an email and crossing our fingers.
But what if you could hit pause and see into the future first?

What if, before you send, you already knew how your prospect would feel reading your message? Where they'd pause. Where they'd hesitate. Where they'd delete.

That's what the approach I share in this article unlocked. 

Imagine AI not as your writer, but as your test subject. Your emotional decoder. Your way to reduce uncertainty and craft for response, not just delivery.

Let me show you how I used AI not to write an email but to predict how it would land.

What you’re about to see is the exact process I followed to turn a decent message into one that got an 80% reply rate and why AI made that possible in a way no human peer review ever could.

This Approach Got a Response Like This

and this…

and this…

This wasn’t a fluke, it was the result of a creative way to approach email messaging.

Not just writing better.
Predicting better.

These responses are part of a campaign that led to an 80% reply rate.

Sounds fake… it’s not.

And it mainly happened because in addition to using AI as a writer… I started using it as the recipient.

Let’s rewind and break down exactly how this approach works and how you can use it right now.

The Experiment

Task: Reach out to Scratchpad users at prospect accounts that fit our ICP. Learn if they would be open to sharing an exec summary with their operations leader.

Goal: Leverage end user champs to drive interest in Scratchpad at the leadership level. As well drive intro’s and higher response rates when we reach out directly to leaders.

The easy part: Identifying active users at our target accounts and the leaders we want to connect with. Thank you Koala!

The hard part: Getting a busy sales rep to help us sell to their leadership. No comp. No incentive. Just a favor!

How I Used AI to Get There

Here’s the process that led to that 80% reply rate:

1. Wrote a Draft Manually
   I started with my own message, without AI, to capture what I wanted to say vs asking AI to draft a message for me. The approach I typically would take is to provide AI with context and examples of what I want and ask it to draft the message.

2. Let AI Play the Role of the Recipient
   Instead of asking AI to edit this message, I asked AI to respond as if it were the seller receiving it. This helped me see into the future and understand what might land—or fall flat.

3. Got Feedback, Then Iterated
   Based on AI’s reaction, I updated the message with AI support. Then I asked AI again, "How would the rep respond now?"

4. Refined for Clarity & Motivation
   With each loop, I worked to reduce friction, clarify the ask, and add subtle motivations for the recipient to take action.

5. Tested Multiple Variants
   I created both long and short versions, more formal, more casual and got feedback on which versions what get to the desired result.

6. Selected the Final Version Based on Context
   I picked the one that felt most likely to get a “yes” from a user who already liked Scratchpad but might be cautious about internal politics.

What Seeing Into the Future Unlocked

Seeing how the message would actually land before sending it unlocked more than better copy it reshaped the strategy entirely:

• Shifted the tone from "I'm asking for a favor" to "We're in this together"

• Exposed vague wording like "chat" and helped reframe it as a meaningful, org-wide opportunity

• Removed friction by softening the CTA and giving the recipient agency

• Clarified intent so the message felt more like a collaboration than a pitch

This is the kind of nuance that’s nearly impossible to self-diagnose but becomes obvious when AI simulates how the recipient might react. It’s not just editing. It’s emotional insight, at scale.

Try This Yourself in 5 Minutes or Less

1. Take an email you plan to send — like a prospecting message.

2. Paste it into ChatGPT, and ask:
   “Imagine you’re the person receiving this—how would you respond and what’s missing?”

3. Give context about the recipient:

   • Their role

   • Goals

   • Challenges

   • Company

   • Even their tone/style preferences

4. Tell ChatGPT what you want the email to achieve — e.g., book a meeting, start a conversation, etc.

5. Use the feedback to improve the message.

6. Repeat until ChatGPT says the message would likely achieve your goal.

If this sparked an idea, forward it to a teammate or better yet, steal it and run your own version.

Want to see exactly how seeing into the future improved my initial message from “meh” to 80% reply rate?

The full ChatGPT conversation including the line that unlocked the 'yes' is in the premium thread below 👇

What You’ll Learn (and Why It’s Worth It)

1. How to craft a low-pressure referral ask that actually gets a response
→ Learn how to structure an ask that feels collaborative, not transactional — one that earned an 80% reply rate.

2. The psychology behind why this message works
→ Breakdown of how tone, clarity, and social dynamics (like championing, recognition, and risk reduction) impact outcomes.

3. Step-by-step message iterations with commentary
→ See how each word choice and sentence structure is adjusted to improve the likelihood of a “yes.”

4. How to personalize without overstepping
→ Learn how to reference someone's usage and past experience in a way that builds trust and rapport, not defensiveness.

5. A/B comparison of two versions with guidance on when to use each
→ Get a ready-to-use framework for deciding which message style fits different personas (e.g., cautious vs. confident champions).

Hey Friends,

Did I get you fooled last week with my April Fools prank?

It was pretty cool that so many believed that it was possible for a newsletter on GTM Engineering with a relatively small following (close to 4k now) could get acquired for $1M. Anyway, let’s get back to regular programming…

As we know, personalization isn’t enough these days.

Your message needs to be relevant. Timed. Connected to some event that ties back to your product.

Of course, we have Ideal Customer Profiles & Personas defined.

But, something is missing.

Signals.

Every company should have a specific set of signals defined that indicate whether a company is:

1. Ready for your solution

2. Experiencing increasing pain

3. Making an investment into a certain area

4. Transitioning their tech stack

5. And so on…

I’m calling these your Ideal Customer Signals (ICS). ICS is what connects the timing of your sales play to when you target and reach out to specific accounts.

Defining your Signals

Signal definitions should have several components to make them usable and actionable to sales reps:

1. What the signal is

2. Why it matters

3. How to position your solution

4. How to align messaging to your persona

5. Where to find the signal (ideally this is provided to reps)

Below are 2 tables builtout using OpenAI’s DeepResearch.

Ideal Customer Signal Research

Ideal Custom Signals

Persona Messaging & Case Study Alignment

Persona Value Proposition Positioning

Prompts and Custom GPT for Premium Subscribers

I thought I knew what my ideal signals were until I developed a couple of prompts.

Premium Subscribers this week gain access to the following:

Prompts:

1. Competitive Research

   • When is it better to sell your services vs. competition?

   • Key product strengths & use cases favoring your company

   • Economic benefits of your services vs. competition

   • Top 3 selling points to displace the target competition

   • Primary weaknesses of target competition

   • Your differentiators & strengths

2. Signal Identification (to generate the table above)

Custom GPT:

Provides 3 outputs:

1. Competitive Research

2. Signal Identification (like the table above)

3. Persona Messaging Development (like the table above)

Check out the output in action:

“ I put that sh*t on everything.”

Frank’s RedHot said it best and honestly, that’s been my approach with AI lately.

I’ve tested it on everything from qualifying deals, to automating forecasting, to writing kids version of my favorite rap songs so I can sing them to my kids before bed.

(reply to this email with your favorite rap song and favorite bed time story and I may just reply with a hit!)

A lot of my experiments lead nowhere.

But every now and then, one lights up a new path.

One of those moments happened after I stumbled across a LinkedIn post from Nate Nasralla. He dropped a 54-slide crash course on identifying and closing deal gaps early.

Slide 23? This slide spoke to me!

It introduced an exec summary template that I “borrowed” (okay, stole) and started using in my own deals. I made a few tweaks. Then I added AI into the mix.

The result?

A 40% win rate across deals where this template was used.

So I’m opening up the playbook. In this article, I’ll walk you through exactly how I use AI to:

1. Create a customized version of the exec summary template

2. Identify the questions I need to ask to fill it out properly

3. Seamlessly bake those questions into my sales process

4. Fill it in from the voice of the prospect using AI… yes it sound like the customer wrote it themselves

Want to See This Live?

I’ll be hosting a free live workshop where I walk through this exact workflow from call transcripts to finished exec summary using real prompts and examples.

Want the invite?

Reply with “RedHot” and I’ll make sure you get a seat.

First, What Problem Does This Solve?

Your buyer might love what you shared in the demo. They might be excited. They might even say, "This is exactly what we need."

But that’s just one part of the equation.

Because now they’ve got to go sell it internally.

They need to convince a room full of people who weren’t in the demo, who didn’t feel the pain firsthand, and who may not even believe the problem is worth solving.

This is where most deals lose momentum.

This exec summary solves that.

It gives your champion a clear, concise, and compelling story to tell internally in their words.

It helps them build a case, align stakeholders, and move the deal forward.

Here's What the Template Looks Like

And if you're wondering how to actually use AI to build this thing…

How to turn call transcripts into a buyer-voiced executive summary that sounds like your champion wrote it themselves…

How to get AI to do the heavy lifting without sounding like a robot…

I wrote it all down.

The full step-by-step guide, complete with prompts, positioning, visuals and a real-life example is available exclusively to paying subscribers.

If you're already subscribed, dive in.

If not, now’s a good time to join. This one process changed how I sell and it might just do the same for you.

Not ready to upgrade, no problem!

I’ll be hosting a free live workshop where I walk through this exact workflow from call transcripts to finished exec summary using real prompts and examples.

Want the invite?

Reply with “RedHot” and I’ll make sure you get a seat.

I lost the deal last week.

And not in a dramatic, fireworks-ending kind of way.
Not with a “we’ve decided to go another direction” or a pricing battle I fought to the bitter end.

It was a quiet death.
One that came after months of good vibes, strong engagement, buying signals that felt as obvious as a billboard.

Then…

Silence.

No email.
No explanation.
Just the sound of my own thoughts bouncing around like a racquetball.

Here’s what played on repeat in my head:

• Did I say something wrong in the last call?

• Should I have pushed harder after the demo?

• Maybe I didn’t follow up fast enough? Or too fast?

• Was my proposal too long? Too short? Too… something?

I was stuck in a spiral of “me.”

What I said. What I didn’t say. What I should’ve said.

It’s a familiar loop, and I’ve noticed it tends to show up right when a deal slips away.
It’s exhausting. And honestly, it’s probably not the most helpful place to sit.

It was during a walk, you know, one of those “get out of your head” walks, when something shifted.

I realized I hadn’t really been thinking about the buyer at all.

Not like, really thinking about them.

I wasn’t asking:

• What was it like to be them?

• What were they scared of?

• What pressure were they under?

• What happened if they made the wrong decision?

And beyond that…

• What did their last buying experience feel like?

• How many internal approvals did they need?

• How many of those people were quietly hoping the project didn’t go through?

I’d been so focused on my process, my pitch, my follow-up, my sequence, that I’d forgotten something pretty important:

They weren’t just trying to buy something.
They were trying not to screw up.

That’s what I’ve been sitting with.

And the more I think about it, the more I wonder if the real job of a buyer isn't to simply make a purchase, but to not make a mistake.

Not a career defining one. Not a political one. Not a budget blowing one.

It's possible that they don’t fear committing to a product.
They fear committing to the wrong one.

And maybe the moments that cause deals to stall or vanish aren’t about us being unclear…

…but about them feeling uncertain.

And the fastest path to certainty? Maybe it’s not some clever new pitch or shiny new asset.

Maybe it’s just to do nothing. 

So I’ve been asking myself something new:

“What would it look like to use AI not to pitch better, but to help buyers feel more certain?”

Like… could I use AI to study the emotional and tactical journey of past buyers?

Could I surface:

• What problems they came in trying to solve?

• How they were solving them before?

• Why their previous approach failed?

• What questions they were carrying into the first call?

• What fears bubbled up before the yes?

• What internal pushback they faced?

• What they wish they’d seen earlier?

• etc…

And then, instead of pitching, could I offer that?

A glimpse into how others like them made the decision.

What they asked.
What they worried about.
What helped.
How exactly they made the case.

Would that help someone feel a little less alone in their process?

A little more sure?

I’m still experimenting. Still turning over rocks. Still trying to find the best way to bring this to life.

But it’s already changed the way I think about selling.

If you've read this far, maybe you’ve felt it too.

That moment when a sure thing deal fades. When your follow up sits unopened. When your calendar feels a little too empty.

If so, maybe don’t ask what more you could say.

Maybe ask:

What’s one thing I can do to remove uncertainty for this buyer?

Even if they never ask for it.
Even if they don’t know how to name it.
Even if it seems small.

Because it’s possible that every ounce of uncertainty you lift,
makes space for something else to show up.

Like confidence.
Or clarity.
Or trust.

And that, more than anything else, might be the gift the prospect needs to gets the deal done.

If you enjoyed this check out one experiment I started last week. Includes a step by step guide to test yourself.

There’s a reason 400,000 professionals read this daily.

Join The AI Report, trusted by 400,000+ professionals at Google, Microsoft, and OpenAI. Get daily insights, tools, and strategies to master practical AI skills that drive results.

Sign up now for free and work smarter, not harder.

Hey Folks!

I’ve been talking the executive operations leadership team of a Fortune 200 company about the future of GTM.

The topic?

AI in sales.

More specifically…

How to empower their 6,000 person sales team to become Modern Sellers. It’s a topic that’s so important to company & CEO talks about it on their earnings calls.

So, what are the skillsets or capabilities of a modern seller? (Or what we like to call an “Augmented Seller”)

There’s a few that we talk about:

• Knows how to automate manual work/research

• Knows how to setup AI workflows to 1) create content faster 2) create better content

• Knows what models to use and when depending on their strengths

• Knows prompt engineering

• Adopts new tools to supercharge productivity

• Use all of the above to optimize time and have better conversations with customers

At Clay, we’re in hyper growth mode and most days are packed with meetings. I need all of the help I can get to save time. Especially, because I’m also creating LinkedIn content, providing product feedback, acting as both the AE & SE, and writing this newsletter and Claymation.io (my other newsletter on GTM Engineering).

The following are 10 apps that I use regularly in various parts of my day job and as a creator.

Would love to learn what you’re using. Reply and give me a shout!

10 AI Productivity Apps

1. Hoop.app - Your living, breathing, multi-channel task capturing to do app.

Hoop

• What it does: Hoop automatically captures tasks from Slack, meetings, and emails, consolidating them into a single, organized list.

• Purpose: To help professionals manage tasks efficiently by reducing context switching and ensuring no to-dos are missed.

👉️ here’s 1 free month to give it a try

How I use it:

Read the blog post or check out the video below: https://www.hoop.app/blog/ai-workflows-to-tame-workday-chaos-with-alex-lindahl-from-clay

2. Clay.com - The best data in the world for creative GTM workflows & automations to drive growth.

How Clay Works

• What it does: Clay provides access to over 100 premium data sources and AI research agents, automating growth workflows to turn insights into revenue.

• Purpose: To enable go-to-market teams to enrich data, automate lead generation, and streamline sales processes.

How I use it:

During the day, I use Clay to help customers source the best data in the world and then use that data to power workflows & automations for growth. (I share a lot of use cases on claymation.io)

We’re using Clay here at The Augmented Seller to grow. More on that later… but, to tease you with some of the initial results on a newly launched campaign:

LinkedIn Campaign Reply Rates w/ La Growth Machine

3. Perplexity.ai - Search reimagined with AI.

• What it does: Perplexity.ai is an AI-powered answer engine that provides concise and accurate answers to user queries.

• Purpose: To offer users quick access to information without the need to sift through multiple search results.

Example research and output I used for a post I did on “How AI temperature impacts AI generated content.”

Example output from Perplexity.ai

How I use it:

• Aggregate sources around a topic of interest

• Summarize those sources to quickly learn

• Prompt hacking to build prompts for GTM agents

Prompt Engineering with Clay & Perplexity.ai

A 3 step guide to improving technographic enrichments.

www.claymation.io/p/clay-prompt-hacking-w-perplexity-ai

4. Kondo - Superhuman, but for LinkedIn.

Kondo = the Superhuman for LinkedIn

• What it does: Kondo streamlines LinkedIn messaging by allowing users to triage messages with labels and split inboxes, enhancing communication efficiency.

•  Purpose: To help professionals manage LinkedIn DMs effectively, ensuring important messages are prioritized and responded to promptly.

How I use it:

Fly through LinkedIn DMs like I do emails in Superhuman.

Now there is also a way to kick off workflows. For example, if you tag a message, then you can have it sent somewhere else (like a Clay table).

I haven’t played around with the creation of workflows yet, but very excited!

5. Superhuman - The fastest email app, ever.

• What it does: Superhuman is an AI-powered email client designed for high-performing teams and individuals, offering a fast and efficient email experience.

• Purpose: To help users manage their email inboxes more effectively, reducing time spent on email and increasing productivity.

How I use it:

Favorite use case #1:

Favorite use case #2

Favorite use case #3

Move really fast. Leveraging snippets, shortcuts, and quick views of my calendar (pops out next to the email) when I need to check availability.

In general, Superhuman helps me get to (or at least closer to…) inbox zero.

6. Tana - AI powered note-taking.

• What it does: Tana is an AI-native workspace that transforms notes into actionable items like tasks, projects, and more, helping users stay organized.

• Purpose: To provide a dynamic workspace where notes seamlessly evolve into structured workflows, enhancing productivity.

How I use it:

There’s a gazillion ways to setup workflows or even create your own CRM of accounts, history, notes that you can take with you.

However, I use it for live transcripts and then have fields in my notes automatically filled out post meeting. For example: Challenges, Next Steps, etc. A bit similar to Gong, but all of the history and summaries are easier to access.

Meeting Agent:

Summaries & Super Tag System:

7. Xnapper.com - Beautiful screenshots worth sharing.

• What it does: Xnapper enables users to capture and edit beautiful screenshots instantly, even without design skills.

• Purpose: To provide a quick and easy way to create professional-looking screenshots for presentations, tutorials, or sharing information.

How I use it:

Create better screenshots like this one.

8. Screen.studio - Make your video demos more captivating.

• What it does: Screen Studio is a professional screen recorder for macOS that produces high-impact videos automatically.

• Purpose: To help users create engaging screen recordings with minimal effort, suitable for demos, tutorials, and presentations.

How I use it:

Producing quick demos that are much more engaging with zoom in and out animations that are automatically created. Here’s an example of one that I included in a recent post How to Automate LinkedIn Signals to Email Outreach.

9. Puzzle - Easiest way to document workflows for your customers.

• What it does: Rapidly build workflow diagrams. Much easier and faster than Figma and others.

• Purpose: Document faster so you can bring others up to speed with easy step by step guides.

How I use it:

Example of a workflow that I recently built and documented in minutes. I’ll be posting about this one later…

Great to show customers how your tech will fit into their ecosystem + workflows.

10. ChatGPT - The OG of AI, but here’s a useful tip.

OK everyone knows this one.

But, here’s a trick to create a list of all your competitors’ customers listed on their website:

1. Take a screenshot of the logo page

2. Upload to ChatGPT

3. Ask it to make a list of all the companies that have logos listed

Some of the logo pages are long, so you’ll want to create a rolling screen capture.

That’s all for this week!

🤞 Alex

Find out why 1M+ professionals read Superhuman AI daily.

In 2 years you will be working for AI

Or an AI will be working for you

Here's how you can future-proof yourself:

1. Join the Superhuman AI newsletter – read by 1M+ people at top companies

2. Master AI tools, tutorials, and news in just 3 minutes a day

3. Become 10X more productive using AI

Join 1,000,000+ pros at companies like Google, Meta, and Amazon that are using AI to get ahead.

Sign up and start learning AI

Cold outreach often feels like shouting into the void, carefully crafted emails, optimized subject lines, yet silence.

You refine your approach, hit send, and… nothing.

Nouman, founder of OBoudFirst a company that helps business do multi-channel outbound on autopilot, flipped the script.

Frustrated by low engagement from VPs of Sales, he asked himself:

“Who actually uses this data every day?”

The answer, SDRs and AEs.

Instead of chasing decision-makers, he engaged end users first, asking them to run a test of his service before reaching out to the sales leader.

The Goal

1. Create a success story prior to engaging with VPs

2. Create a champion who would be excited to make an intro to VP

3. Book more meeting with sales leaders

How?

1. Experiment with engaging users of his offering before engaging buyers

2. Leverage Clay plus AI to build target list and create highly personalized emails

3. Leverage Instantly to run outbound sequence

The Results

• Response rates jumped to 12%, compared to the usual 3-5% in previous campaigns.

• 43% of responses were positive, compared to 20-30% in previous campaigns.

• Six deals closed in a week.

• SDRs and AEs forwarded emails to their sales leaders without being asked.

Key Takeaways from Nouman’s Approach

• Empower the Right People – Instead of chasing decision-makers, engage the people who actually use the product. Their endorsement carries weight.

• Give Before You Ask – Offering free, high-value insights or tools lowers resistance and builds trust.

• Make the Process Easy – SDRs had no risk in testing the product, making it frictionless to pass along.

• Leverage Social Proof – Once SDRs saw results, they naturally wanted to share them with their team.

Get Free Access to Nouman’s Playbook

Curious how Nouman made this work?

Like, comment "Claybook" and tag a friend on this LinkedIn post 

What You’ll Get:

• Nouman’s Clay workbook with tables to find companies, find contacts, and automatically create personalized emails for each contact.

• AI prompts built into tables:

  1. Business Model Analysis

  2. Sales Leader Identification

  3. Company Analysis

  4. Sales Personnel Details

  5. Email Personalization.

After you engage with post we’ll send a link to the Clay workbook + instructions straight to your LinkedIn inbox!

How to Use Nouman’s Clay Workbook to Build a Target List and Personalize Emails in 4 Easy Steps?

1. Click Create Workbook using Template

2. Customize companies to match your target accounts by navigating to the SDR Companies Table and editing Source information.

3. Now that you have your list of companies it’s time to Run Columns with AI prompts.
   
   Prior to running Prompts I recommend you review and personalize them to match your target.
   
   This can be done by clicking on each column with the magic wand 🪄and selecting edit.

Run columns with AI prompts in the following order. Each column relies on the info of the previous one. If run out of order you will receive errors.

1. Business Model Analysis

2. Sales Leader Identification (or the persona you are targeting)

3. Company Analysis

4. Sales Personnel Details (or the persona you are targeting)

5. Write to Other Table of

Having trouble viewing content? Click Here to view online

As you enrich The SDR Companies table it auto populates the SDR Contact table with relevant contacts.

4. Now create custom emails for each contact by Running Email Personalization column in SDR Contacts table

Having trouble viewing content? Click Here to view online

Now that you have list put it through your sequencing tool. Nouman leveraged Instantly which he integrated into the SDR Contact Table.

Below is an example of personalized email from the table.

Hope you enjoyed!

Oscar

The future of presentations, powered by AI

Gamma is a modern alternative to slides, powered by AI. Create beautiful and engaging presentations in minutes. Try it free today.

NotebookLM Podcast of Article

Ron had done this before. Too many times.

Building a proof-of-concept deck was always a grind, digging through past POCs, piecing together content, then battling PowerPoint to make it look presentable.

The process dragged on for days, filled with tedious, time consuming tasks that had nothing to do with selling.

This time, he tried something different.

He uploaded past POCs into GPT, along with frameworks from industry experts like Nate Nasralla and Mike Fiascone.

Instead of stitching things together manually, GPT structured the content into a clear, compelling one pager. A huge time saver, but he still needed a deck.

Then he remembered Gamma. His friend Dr. Lisa Palmer had told him, “Drop your content in, and it builds the deck for you.”

Skeptical but curious, Ron gave it a shot. Within minutes, Gamma transformed his document into a sleek, interactive presentation. No formatting headaches. No endless slide tweaking. Just a polished, professional deck, done in a fraction of the time.

The best part? It wasn’t just faster. It looked better than anything he would’ve built manually. Ron was so impressed, he bought Gamma on the spot.

If you’ve ever spent days wrestling with PowerPoint or Google Slides instead of selling, this workflow will change how you work.

In today’s newsletter, I’ll walk you through Ron’s exact process, step by step, so you can replicate it

and reclaim your time and sanity.

Let’s dive in.

Example POC deck created with Gamma

1.05 MB • PDF File

Download

Ron’s Workflow: Step by Step

Want to replicate Ron’s workflow and cut your deck creation time in half? Here’s exactly how he did it.

Step 1: Gather Your Source Material

Before AI can help, you need raw content. Ron pulled from:

• Past proof-of-concept (POC) decks he had created.

• Publicly available POC frameworks from industry experts, including:

  • Nate Nasralla – The “Hardwired” Enterprise Proof of Concept Framework

  • Mike Fiascone – LinkedIn post sharing a Proof of Concept framework

• Any relevant documentation on his product and value proposition. Ron focused on gathering customer facing content like case studies and publicly facing product details.

Don’t have existing POCs? Start with case studies, discovery call notes, or past proposals. Or leverage these test materials I put together.

Step 2: Structure the Content with GPT

Ron used GPT to eliminate manual slide-building by:

1. Uploading his materials into GPT and asking it to analyze them.

2. Prompting GPT to extract the key points from each source.

3. Refining the messaging by going back and forth with GPT, ensuring clarity and conciseness.

Try This Prompt:

“You're crafting a proof-of-concept (POC) summary for [insert customer name] and need to ensure it is persuasive, structured, and executive-ready.

Use the attached materials, including:

• Past POC decks

• Publicly available POC frameworks (e.g., Nate Nasralla’s "Hardwired" approach, Mike Fiascone’s structured POC best practices)

• Relevant case studies, discovery call notes, and customer-facing product documentation

Leverage POC best practices to structure the summary so that it aligns with industry standards and resonates with key stakeholders.

Final Output:

• One-page proof-of-concept summary

• Concise, polished, and plug-and-play for a presentation

• Persuasive, data-driven, and aligned to NexaTech’s pain points

Key Elements to Include:

1. The Problem

   • Clearly frame the problem in the customer’s own words (use insights from discovery calls).

   • Quantify the pain points (cost, efficiency, lost revenue, NPS impact, etc.).

2. The Proposed Solution

   • Clearly articulate how the solution addresses the problem.

   • Highlight why this approach is different from past failed attempts.

   • Use customer language, not technical jargon.

3. Expected Business Impact

   • Use real-world case study data to predict impact.

   • Include hard numbers on cost savings, efficiency gains, and risk reduction.

   • Ensure KPIs align with what NexaTech’s leadership actually cares about (CTO, CFO, Ops).

4. Next Steps & Expansion Plan

   • Define a fast, low-risk execution plan (short timeframe, minimal effort from customer).

   • Pre-wire the expansion plan if success criteria are met, ensuring a seamless transition from POC to full deployment.

Additional Enhancements:

• Ensure the tone is executive-friendly, direct, and free of fluff.

• Anticipate and preempt objections (e.g., cost, effort, competing solutions).

• Use a structured POC framework (e.g., Hardwired, structured readout format, go/no-go criteria).

• Prioritize actionable next steps to avoid open-ended evaluations.”

Pro Tip: Edit draft leveraging ChatpGPT Canvas. See example in video guide.

Step 3: Convert the Document into a Presentation with Gamma

Get 200 free credits of Gamma using my referral code.

Once he had a structured one-pager, Ron used Gamma to automate slide creation:

1. Uploaded the GPT-generated document into Gamma.

2. Gamma automatically transformed the text into a clean, interactive presentation—no manual formatting required.

3. He customized the deck’s branding by:

   • Uploading company colors and fonts.

   • Tweaking the layout for readability.

Pro Tip: If your company has an official brand deck, import it into Gamma to maintain design consistency.

Step 4: Final Tweaks and Exporting

Once Gamma built the deck, Ron made minor refinements:

• Removed unnecessary graphics for a cleaner, more professional look.

• Ensured key takeaways were easy to digest.

• Exported the final deck as a PowerPoint file for easy sharing.

The Outcome? A Presentation That Looked Better and Took 90% Less Time

Ron went from spending days crafting decks to producing a fully polished, on-brand presentation.

Key Benefits of This Workflow:

• Eliminates manual slide formatting.

• Produces a more polished, visually appealing deck.

• Saves up to 90% of the time typically spent on deck creation.

Do you know of any good Partner/Alliances Manager opportunities in B2B SaaS? Sara a member of the TAS community, is currently looking for her next landing spot.

A little about Sara:

• Sales and Partnership executive with 15+ years of experience, specializing in SaaS starups and scale-ups

• She recently built out a partner channel from 0-6 partners, that included a partnership with Accenture

Respond to this email or reach out to Sara via LinkedIn if you have any ideas!

There’s a reason 400,000 professionals read this daily.

Join The AI Report, trusted by 400,000+ professionals at Google, Microsoft, and OpenAI. Get daily insights, tools, and strategies to master practical AI skills that drive results.

Sign up now for free and work smarter, not harder.

👋 Alex here!

Thanks for tuning in.

Our mission is to help Account Executives use AI in practical ways to save time and get their sanity back. Hundreds of sellers have signed up from the likes of DataBricks, HubSpot, LinkedIn, Clay, and even Salesforce.

This week’s post will show you how to run AI free, locally on your desktop. No, not because we want to save money - but, now you’ll be able to use AI on planes, trains, or even out in the wilderness.

By using LMStudio.ai, you can download ‘distilled’ open source LLMs, like Meta’s Llama or DeepSeek, and use them locally without the internet.

Now for the guide to set it up.

P.s. check out my other newsletter on GTM Engineering: Claymation

Objective

Learn how to download open source LLMs and run them locally on your laptop.

Trust me, this is MUCH easier than you’re imagining right now…

Why run locally?

You can now use AI when you don’t have internet access or when it’s slow or when service is slow.

Or when you do have internet access and want keep your sensitive data safe so you don’t expose customer information or company IP.

What’s cool is you have greater ability to customize AI and also chat with your documents.

Plus, it’s free. Kinda crazy, right?

FREE AI

What is LM Studio?

LM Studio is an app that runs on your desktop to discover, download, and run LLMs locally. You can also download compatible HuggingFace models from their repositories.

The UI is your typical chat interface like ChatGPT.

The best part - it’s free and you can use free open source LLMs.

That’s crazy…. FREE AI.

How to Setup StudioLM & Run LLMs Locally

Step 1: Download LM Studio

Head to lmstudio.ai

Download the version that corresponds to your laptop’s operating system.

LM Studio

Step 2: Drag into Application Folder

Step 3: Search for Model & Download

There’s 2 types of LLM models

• The ‘Teacher’ LLM - these are the ones we’re familiar with and typically interact with such as ChatGPT 4o.

• Distilled LLMs are called the ‘Student’ - these are more compact LLMs the are derived from knowledge distillation.

We need to use a distilled version because the parent LLMs are too big to fit on a laptop.

The ‘1.5B’ up to ‘70B’ refer to the size of the model variant.

Twitter tweet

Searching & downloading an LLM locally via LM Studio

Step 4: Load & Run Model

This is Llama 3.2 1B from Meta:

Testing out Llama 3.2 locally

Now for DeepSeek. The transparency of its reasoning is pretty cool

DeekSeep Reasoning Exampl

Stay up-to-date with AI

The Rundown is the most trusted AI newsletter in the world, with 1,000,000+ readers and exclusive interviews with AI leaders like Mark Zuckerberg, Demis Hassibis, Mustafa Suleyman, and more.

Their expert research team spends all day learning what’s new in AI and talking with industry experts, then distills the most important developments into one free email every morning.

Plus, complete the quiz after signing up and they’ll recommend the best AI tools, guides, and courses – tailored to your needs.

Sign up to start learning.

Recommended Reading

Claymation - #1 GTM Engineering Newsletter

Join 6,000+ GTM leaders who are learning GTM Engineering and how to integrate AI in GTM workflows with Clay. A weekly newsletter with GTM plays, step-by-step guides, tutorials, and prompts.

Subscribe

Building AI Agents

Free, quality news for professionals about AI agents—written by humans

Subscribe

How Michael's Living Playbook + Claude Projects Transformed His Follow-Ups

Last week, I had a chat with Michael from Koala that I just had to share with our newsletter community. If you've been wondering how to make AI actually useful in your daily sales workflow (beyond the usual buzzwords), you're going to love this.

Michael showed me how he's using Claude Projects to handle one of sales' biggest time-sinks: writing personalized follow-ups. But here's the twist, he's not just using basic prompts or generic templates. He's built what he calls his "living playbook."

"When I tried using regular ChatGPT for this, it was hit or miss," Michael told me, sharing his screen to show his setup. "Sometimes great, sometimes way off. I needed something more consistent."

His solution? He keeps a Google Doc of his best-performing messages, the ones that actually got responses. Every time he writes a killer email or Slack message, it goes in the doc. Then he feeds this into Claude Projects, essentially teaching it his voice and style.

The results? What used to take him several hours, like recently when he needed to send personalized Slack messages about their new GitHub integration to 15 different customers, now takes less than an hour. And these aren't just faster messages; they're better ones, each perfectly tailored to the recipient.

Want to try Michael's approach? Here's a step by step guide + the prompt he created.

What you will need:

1. Pro account to Claude or you can recreate this workflow with a Custom GPT or Google NotebookLM
   
   Check out “Sales Assistant-GPT” article to see an example of how this could work in ChatGPT.
   

2. Prompt to give instructions. Michael’s example prompt is below. I recommend you customize this to fit your situation.
   

   

   Custom Instructions for Claude Email Writing Project.pdf

   67.36 KB • PDF File

   Download

3. Make a PDF with examples of your emails or templates to upload. This helps AI know exactly what you’re looking for. I added a mock example below to show what I mean. Keep updating the PDF with messages that work!

   

   "Mock" Living Playbook.pdf

   66.39 KB • PDF File

   Download

4. Call notes or call transcript to for AI to leverage to create personalized follow up email. You can leverage the “Mock” transcript below if you want to quickly test this.

   

   Mock Transcript.pdf

   66.01 KB • PDF File

   Download

   
   

Video Guide:

Video created using Tella

Step by Step Guide:

Guide created using Guidde 

1. Create Claude Project:

2. Set Project Instructions

3. Add “Living Playbook” to Knowledge

4. Generate Draft Email

Example output

Bonus Workflow: How AI Speeds Up Personalized RFP Responses

I recently caught up with a sales rep who shared a simple but powerful AI workflow. If you've ever stared down an 80-page RFP document while simultaneously juggling competitive research and company materials, you're going to want to hear this.

The RFP Challenge

We've all been there, trying to craft the perfect RFP response while drowning in documents: the RFP itself, company materials, competitor brochures, discovery call transcripts etc. It's like trying to cook a gourmet meal while reading five different recipes at once.

The Game-Changing Solution

This innovative rep showed me how they're using NotebookLM to transform this chaos into clarity. Here's what caught my attention: instead of jumping between dozens of tabs and documents, they're loading everything into one AI workspace, RFP documents, discovery call transcripts, competitor materials, everything.

"The magic happens when you ask the right questions," they explained, demonstrating how they could ask something like "How well does our solution address the strategic goals?" and get a response that perfectly weaves together the RFP requirements, the prospects objectives, and their solution's unique differentiators.

Do you have an RFP that needs responding to? Below I share a quick video guide on how you can execute this workflow.

What you will need

1. Notebook LM - The core AI tool for processing multiple document sources and generating responses

2. Source materials:

   • RFP documents

   • Company capabilities documentation

   • Competitor materials/brochures

   • Discovery call transcripts

   • Relevant websites

   • etc.

Video Guide

Step by Step Guide

1. Create new NotebookLM

2. Add source materials

• RFP document

• Company materials

• Competitor brochures

• Discovery call transcripts

• Relevant websites

3. Start generating responses

Example output

Did you find this content helpful?

Do you have an AI workflow we should know about?

Don’t keep it to yourself. Let’s share it in an upcoming article of The Augmented Seller.

Check out some of my friend’s newsletters

💡 ThinkWithAI

ThinkWithAI shows business owners how to use ChatGPT to write better, plan smarter, and pressure-test big decisions so they can turn AI into a powerful thought partner, not just a productivity tool.

Subscribe

Claymation - #1 GTM Engineering Newsletter

Join 6,000+ GTM leaders who are learning GTM Engineering and how to integrate AI in GTM workflows with Clay. A weekly newsletter with GTM plays, step-by-step guides, tutorials, and prompts.

Subscribe

The future of presentations, powered by AI

Gamma is a modern alternative to slides, powered by AI. Create beautiful and engaging presentations in minutes. Try it free today.

Automate your meeting notes

• Condense 1-hour meetings into one-page recaps

• Say goodbye to post-meeting data entry

• Claim 90 days of unlimited AI notes today

Get started free

I was horrible at prompting when I joined Clay.

It took a lot of practice to get good, but can now to create some pretty cool things:

• Custom GPTs that automate repetitive analysis or data synthesis

• Workflows that auto create create variations of content to repurpose

• An automated way to create LinkedIn carousels for LinkedIn engagement

• 10-Ks deep research for strategic initiatives and why they matter

• Creating ‘This is what we heard’ type slides for sales presentations

• An AI generated Podcast on how Clay found Product Market Fit

And now… even a game that helps you practice prompt engineering.

This post will show you some fun ways you can get into and practice prompt engineering:

1. Prompting Games

2. Meme’ing

3. Image Prompting

4. AI Agent Prompting

5. Applying Simple Best Practices

6. Custom GPTs

7. Build an MVP App

Fun Ways to Practice Prompt Engineering

1. Prompting Games

I’ve found 2 really clever ones:

• Google’s Art & Culture Experiments - Say What You See game

• Lakera’s Gandalf

Say What You See

The title basically explains what you need to do. The challenge is how good or close is your prompt to recreating the image. Next, learn how to improve that prompt. It’s harder than it seems…

Say What You See - Prompt Engineering Game

Gandalf

This is MUCH harder. Use prompting to get past Gandalf.

Can you trick him into revealing his secret password?

Gandalf Prompt Engineering Challenge

2. Meme’ing

This post would’ve come out 5 days earlier if I hadn’t found this idea on ded.ai.

Just take popular memes and then practice prompting to turn them into hyper realistic (or any style of) images.

Learn How to Prompt by Making it Fun

Recreating memes is an easy way to learn prompt engineering.

www.ded.ai/p/fun

Here’s an example for Pepe the frog. Give it a try for Soyjak, The Nordic Gamer, or Grumpy Cat. [Please send in your Grumpy Cat images - would love to see 😂)

Pepe post Prompt Engineering

3. Image Prompting

Everyone knows DALL-E, which I totally recommend. But, I recently discovered Google’s ImageFX.

Part of prompting is just knowing what’s possible or coming up with variations and more descriptors to try.

ImageFX has some cool capabilities where it recommends additional descriptors, variables, and sizes of the image to try.

Google’s ImageFX Example 1

Google’s ImageFX Exmple 2

4. AI Agent Prompting

A lot of my customer work at Clay is prompt engineering AI Agents (ours is called Claygent) to automate manual research of sellers.

My process follows these high level steps:

1. Research aspects of the topic/prompt in Perplexity.ai (like how to figure out if a company is using a specific technology)

2. Have Clay’s Meta Prompter write the prompt from a basic prompt I give it.

3. Run the Prompt for 10 companies.

4. Examine the output and steps that Claygent took to get to the answer

5. Tweak, rerun on 10, and iterate until you’re happy with the output

Some processes are multi step. For example, use 1 agent to find the 10-K report, and then use that to feed the next agent that analyzes the prompt. Below is an example of what it looks like in Clay.

👉 Check out our Prompt for analyzing & summarizing 10-K report strategic priorities.

Claymation - #1 GTM Engineering Newsletter

Join 6,000+ GTM leaders who are learning GTM Engineering and how to integrate AI in GTM workflows with Clay. A weekly newsletter with GTM plays, step-by-step guides, tutorials, and prompts.

Subscribe

5. Learning & Apply Simple Best Practices

These are examples from one of my LinkedIn posts - 11 AI Prompting Tips. The post goes into more details of each with bad and good examples.

We also have an ongoing series of AI Prompt Engineering Basics for Sellers:

• Part 1: The Must Learn Skill for Sellers in 2025

• Part 2: 5 Tips for Improving Your Prompts

Suggest Effort for your Prompts

6. Build Custom GPTs

I learned how to build Custom ChatGPTs from Oscar (co-author of The Augmented Seller.)

👉 Check out Oscar’s post on how to do this - Customer Lookalike GPT

Creating a Custom GPT

7. Build Apps with Anthropic’s Claude

After you learn some best practices, practice with image creation & agents, and create some memes… let’s take things to the next level and create mini apps. This is how I created an MVP interactive prompt engineering game with Claude

I was inspired by Google’s Say What You See game.

Would it be possible to create an MVP myself for a game?

A couple prompts later… Anthropic’s Claude gave me one. (Going back to sales uses cases - I’ve found that Claude is better for email copy than ChatGTP.)

👇 check out this video of how I created it.

From the GTM Network

The Signal: How Many SDRs Will Exist in 5 Years? … 80% Fewer

ConnectedGTM: How to Use Smart Content in HubSpot for Personalized Experiences

RevOps FM: AI Agents, Beyond The Hype

Claymation: Google’s Realtime AI Coaching

RevOps Impact Newsletter: Is Composable Architecture the Future of RevOps

Community Update

This week has been incredible, nearly 100 new Augmented Sellers joined! I’ve had a number of great conversations with you all, picked up a few practical AI tips (sharing one today), and noticed a few themes I’ll highlight below.

10 themes on how Augmented Sellers are leveraging AI from 30 conversations

1. Building detailed business cases quickly

2. Enriching prospect data

3. Analyzing and improving sales calls

4. Personalizing prospecting efforts

5. Streamlining account research

6. Creating tools to predict close dates

7. Automating repetitive tasks

8. Scaling outreach across accounts

9. Improving lead qualification and scoring

We’re also inching closer to our first big milestone: 1,000 subscribers by Jan 31. We’re approaching 250 just a few weeks in, off to a solid start!

If you’re enjoying the content and want to help us get there, a quick share with a friend or colleague would mean the world. Thanks for being here, excited to keep building this with you!

How AI helped a sales rep create a CEO-worthy POV in 1 hour

And how you can follow his step-by-step process.

You know that moment when the stakes couldn’t be higher? That was the reality for one Augmented Seller when the CEO of a publicly traded company viewed his LinkedIn profile. This wasn’t just a casual glance, it was his chance to stand out and make a connection.

The task? Create a compelling POV (Point of View) document that could grab the CEO’s attention. The problem? His typical process for crafting a POV took 6–7 hours. Not ideal when time is of the essence.

After his first draft missed the mark, he turned to AI, not to replace his expertise, but to amplify it. Using ChatGPT as his collaborator, he uploaded a sample POV for reference and carefully crafted prompts to pull insights from public data. The result? A polished, hyper-relevant document aligned with the CEO’s goals, delivered in just 1 hour.

Want to try it yourself? We’ll walk you through the exact prompt and steps he used to turn hours of work into just one.

Step-by-Step Guide

Ready to save hours on your next POV document? Here’s exactly how you can do it, step by step. You’ll just need a few things to get started.

Quick example of how to leverage prompt!

What You’ll Need

1. An Example POV Document

   This can be:

   • A PDF of a POV document you’ve created in the past.

   • A generic example POV template that I’ll provide. This template is flexible and ready to be adapted to your business.

2. ChatGPT Access

   Make sure you’re using ChatGPT with the ability to upload files and process prompts.

Step 1: Upload Your Example POV Document

Open ChatGPT and upload your example POV document. If you don’t have one, feel free to use the generic POV template below. This document serves as a reference, helping the AI understand the structure, tone, and style you want in your output.

Example POV

Upload this file to Chatgpt

1.56 MB • PDF File

Download

Step 2: Input the Prompt

Once the example document is uploaded, use the following prompt. Make sure to read the prompt and input details like the account your are researching etc to personalize the prompt to your situation.

POV Prompt

Copy/Paste this prompt into ChatGPT

1.57 MB • PDF File

Download

Step 3: Hit Enter

Once you input the prompt, let ChatGPT generate the first draft of your POV document. This initial draft will reflect the structure and tone of your example while being customized to the goals and challenges of your prospect.

Step 4: Refine and Validate

Now, it’s time to review and improve. Go through the AI-generated draft and check:

• Accuracy: Ensure the information is correct and aligned with the prospect’s actual goals.

• Relevance: Does it clearly connect your solution to their challenges?

• Tone: Does it feel personal and professional?

You can use additional prompts to tweak specific sections:

• “Rephrase this section to emphasize cost savings for the prospect and how [My company’s] solution has helped to achieve this with other customers.”

•  “Add more detail about how our solution supports operational efficiency, using [My company’s] customer case studies webpage [or the customer case study deck that we uploaded to the GPT we are leveraging for this exercise]”

• “Simplify this paragraph to make it more skimmable.”

Step 5: Deliver with Confidence

Once the document feels right, it’s ready to share. You’ve taken the time to refine and validate it, ensuring it’s not just another generic POV but something tailored and impactful.

AI Workflows You May Have Missed

Here are some powerful AI workflows we’ve shared this week on LinkedIn. If you missed them, now’s your chance to dive in:

• Use AI to Coach You on MEDDPIC

• Use AI to Help with Follow-Up Emails and Deal Qualification

• Use Scratchpad AI to Update Salesforce After Sales Calls

• Have ChatGPT Ask You Questions to Create Tailored Outputs

• Use AI to Create Key Challenges Slides Before Sales Calls

• Use AI to Create Viral Content with Clay

• Prompt Engineering Basics

If you enjoyed this and want to help us hit our goal of 1000 Augmented Sellers by Jan 31!

Thanks for reading… see you next week!

You’re Doing Breakfast Wrong

Discover Huel Black Edition—complete nutrition without compromise.

With 40g of protein and 27 essential vitamins, it’s the perfect meal for your busy life. Whether at home or on the go, fuel up in seconds with a high-protein meal.

Even better? New customers get a bundle of savings to kickstart their Huel journey. Use code BEHUEL15 for 15% off your first order, plus a FREE t-shirt and shaker.

Get 15% Off Now

Hey Friends,

2 weeks in and we’ve hit 150 subscribers. Not too shabby…

This is part 2 of The Augmented Seller’s guide to AI Prompt Engineering.

The most curious sellers believe this is a must learn skill for 2025.

Here are the first 5 tips to improve you prompt engineering skills.

✌️ Alex

1. Assign AI a persona or role

The first thing I like to do in a prompt is assign AI what persona it is taking on.

Why? This will help “prime” the model to respond with the tone, knowledge level, and perspective you need. There’s a couple benefits to this:

• Contextual relevance - “you are a seasoned sales executive with 15 years of experience”.

• Consistency & tone - AI’s style of communication will remain consistent.

• Reduced ambiguity - AI will stay focused on providing relevant, role-specific solutions or insights.

• High quality answers - It helps narrow the AI’s search space to relevant data, which often leads to more precise and high-value responses.

• Easier refinement - You can refer back to the role in future versions

Example:

❌ “Tell me how to sell this product to a procurement manager.”

✅ “You are a seasoned B2B sales consultant with 15 years of experience in enterprise procurement negotiations. Explain how to pitch our supply chain optimization software to a procurement manager at a large manufacturing firm, focusing on the common objections they might raise.”

2. Clearly define the task

Don’t leave room for interpretation. Be as specific as possible when you describe the task. For example, if you say “find Apple’s 10-K report”, it might give you the 10-K report for 2022 instead of 2023.

Example:

❌ “Find Apple’s 10-K report”.

✅ “Your task is to finding the most recent 10-K for Apple and return back with a URL to that 10-K report. To achieve this, use the following steps to find the report and link. ”

3. Provide context & constraints

AI outputs can go off in different directions. The more context you can provide, the more narrowly scoped and aligned the output will be with your vision or desired output. I like to also give constraints around length of the output or length of a specific part of the output.

Example:

❌ “Give me some info on enterprise sales.”

✅ “I sell a SaaS platform for automating financial reporting. The prospect is a CFO who’s skeptical about new technologies. We have a three-month pilot period and a limited discount budget. Please outline a step-by-step plan to win the CFO’s buy-in, highlighting key financial metrics and ROI. The plan should include no more than 5 steps. Each step is described with no more than 3 sentences.”

4. Break down complex queries

AI will always perform better when you break down the steps it needs to take. Think through the steps that you’d take to achieve the same goal. Then articulate those steps to AI.

Example:

❌ “Help me build a proposal.”

✅ “I need to build a sales proposal for our new CRM solution targeted at a large insurance company. Break it down into these sections:

1. Executive Summary

2. Business Challenge & Goal

3. Proposed Solution & Customization

4. ROI & Timeline

5. Pricing & Next Steps

Provide details for each section, focusing on how our CRM can simplify policy management and improve customer experience.

5. Provide Output examples

Getting outputs to look exactly how you want is tough. Providing examples is another way to narrow down the broad possibilities of how AI will respond. Teach AI what good looks like and it will emulate what you provide.

Example:

❌ “Give me a good sales script.”

✅ “Below is an example of the style I want for the sales script (brief, friendly, and data-driven).

Example Script:
- Greeting: ‘Hi [Name], thanks for taking the time today...’
- Pain Point: ‘We’ve noticed that many CFOs struggle to...’

Now, please create a new script targeting a Head of HR at a mid-size tech firm who’s evaluating our HR analytics tool. Make it concise and emphasize cost savings and employee engagement.”

Writer RAG tool: build production-ready RAG apps in minutes

• Writer RAG Tool: build production-ready RAG apps in minutes with simple API calls.

• Knowledge Graph integration for intelligent data retrieval and AI-powered interactions.

• Streamlined full-stack platform eliminates complex setups for scalable, accurate AI workflows.

Learn more about our production ready RAG tooling here.

From the Network

GTM AI Academy - check out their 2025 GTM AI Survey. Several hundred have already participated and they’re still looking for more. We’re excited for when this drops.

👉 Also check out their newsletter.

Claymation - I recently just shared my 2024 comeback story. A year ago, at this time during the holidays, I was pretty very low. 2024 was a year I discovered some key things that were missing in life that helped me turn everything around.

SalesDaily - How Top Sellers Win. Lots of good advice. One of my favorites from the post is:

Enjoying the Content?

I love when prospects ask me, “Who in our industry do you work with?”

Why? Because now, I can confidently answer that question and I don’t just rattle off generic names. I give them examples they care about. All thanks to a custom GPT I built. Let me show you how you can do it too.

The Problem: Industry Data is a Mess

Before creating this GPT, I dreaded this question. Why? Because industry data in Salesforce is... how do you say it... fugazi.

Every company is either in "Technology," "Manufacturing," or some other overly broad category. But when a company that manufactures forklifts asks who we work with, they don’t want to hear about a software company we support.

The real issue? Sub-industries, those niche, specific categories often aren’t captured in our CRM anywhere.

Experimenting with ChatGPT

I decided to experiment with ChatGPT to solve this. My first test? I pulled a list of all our customers, fed it into ChatGPT, and asked it to identify customers similar to a specific prospect.

The result? Magic.

In seconds, ChatGPT identified five customers I’d never have guessed were closely related to my prospect. And it didn’t just base this on surface level details.

Fine-Tuning the GPT

As I experimented further, I discovered that ChatGPT could get hyper-specific. It could analyze factors like:

• Revenue

• Employee count

• Company descriptions

• Value propositions

• Funding rounds

• Open job positions

I even had it create similarity scores, ranking existing customers by how closely they matched the prospect.

Once dialed in, I built a custom GPT where all I need to do is input the domain of a prospect account, and ChatGPT outputs a prioritized list of look-alike customers.

It’s fire. 🔥

Expanding Use Cases

This tool doesn’t just help with the “Who in our industry?” question. Now I use it to:

• Identify use cases within specific industries before discovery calls.

• Prepare personalized examples for demos.

• Strategically prioritize accounts based on similarity scores.

Build Your Own Customer Look Alike-GPT

Want this for yourself? Here’s how:

1. Log in to ChatGPT.
   

2. Navigate to the “Explore GPTs” section.

   

3. Click “Create.”

   

4. Click “Configure”

5. Add a title like: “Customer Look-Alike Finder.”
   

6. Write a description like: “Insert account domain to find look-alike accounts with detailed scores and traits.”
   

7. Give instructions: Copy/Paste the below.
   
   “This GPT helps users find look-alike customers by analyzing a provided website domain. Users input a domain, and the GPT searches a predefined customer list to identify accounts that resemble the input, excluding the provided domain from the results. It calculates similarity scores based on criteria such as industry, employee size, revenue, product/service offerings, value propositions, funding rounds, investors, company type (public or private), headquarters location, and other relevant characteristics. Only suggestions scoring 70% or higher are presented. Each recommendation includes a detailed breakdown of the similarity score, specifying exactly how accounts align and differ. For example: 'Company X matches in industry (85%), headquarters location (100%), and employee size (90%), but differs in funding rounds and revenue.' This ensures users receive comprehensive insights into the match details. Users only need to input the domain to receive look-alike accounts minus the match, with no further instructions required.”
   

8. Upload PDF of customer list to Knowledge.

9. Click “Create”
   

10. Add you’re first domain to see it in action

Once it’s set up, enjoy the magic. 🚀 

Interested in finding look alike accounts for prospecting? Check out Claymation’s article that shares a guide to this using Clay + ChatGPT + Ocean.io.

Enjoyed this article?

Learn AI in 5 minutes a day

This is the easiest way for a busy person wanting to learn AI in as little time as possible:

1. Sign up for The Rundown AI newsletter

2. They send you 5-minute email updates on the latest AI news and how to use it

3. You learn how to become 2x more productive by leveraging AI

Sign up to start learning.

Save time with this GPT! Just input what you're interested in or what you're struggling with, and get instant, personalized recommendations tailored to your needs.

1. Snap Selling by Jill Konrath

• Amazon Rating: 4.5/5

• Reader Outcomes: Improved efficiency, higher engagement with prospects, shorter sales cycles, and increased close rates.

• Helpful if You Struggle With: Capturing the attention of busy decision-makers or progressing deals quickly.

• Unique Aspects: The SNAP methodology (Simple, iNvaluable, Aligned, Priority) simplifies sales for both reps and buyers.

• Readers Who Had a Negative Experience Shared: Some felt the strategies were more applicable to B2B or enterprise sales and not as relevant to smaller deals.

• Estimated Reading Time: 5–7 hours.

2. Addicted to the Process by Scott Leese

• Amazon Rating: 4.6/5

• Reader Outcomes: Consistent sales performance, clearer structure, and improved execution of sales plans.

• Helpful if You Struggle With: Staying disciplined in your sales process or producing repeatable results.

• Unique Aspects: Advocates for “process addiction” as a mindset for consistent success.

• Readers Who Had a Negative Experience Shared: Some readers felt the book was too focused on early-stage startups.

• Estimated Reading Time: 4–6 hours.

3. Attraction Selling by Justin Michael

• Amazon Rating: 4.4/5

• Reader Outcomes: Increased inbound leads, more natural conversations with prospects, and reduced rejection rates.

• Helpful if You Struggle With: Engaging buyers without being pushy or overly aggressive.

• Unique Aspects: Focuses on crafting attractive value propositions rather than relying on traditional "push" tactics.

• Readers Who Had a Negative Experience Shared: Some found the approach overly idealistic and harder to implement in competitive industries.

• Estimated Reading Time: 3–5 hours.

4. Heart and Sell by Shari Levitin

• Amazon Rating: 4.7/5

• Reader Outcomes: Deeper client relationships, increased trust, and improved customer retention rates.

• Helpful if You Struggle With: Building emotional connections and rapport with customers.

• Unique Aspects: Combines emotional intelligence with actionable sales techniques to foster authentic relationships.

• Readers Who Had a Negative Experience Shared: Some felt the content was repetitive and lacked advanced strategies for experienced sellers.

• Estimated Reading Time: 6–8 hours.

5. Buyer First by Carole Mahoney

• Amazon Rating: 4.8/5

• Reader Outcomes: More successful sales conversations, smoother deal progression, and greater buyer trust.

• Helpful if You Struggle With: Understanding buyer psychology or aligning with their needs.

• Unique Aspects: Offers a deeply buyer-centric approach that prioritizes trust and alignment over aggressive selling.

• Readers Who Had a Negative Experience Shared: A few noted that the book is most useful for consultative or relationship-driven sales.

• Estimated Reading Time: 5–7 hours.

6. Follow Up and Close the Sale by Jeff Shore

• Amazon Rating: 4.6/5

• Reader Outcomes: Higher close rates, shorter sales cycles, and more effective follow-up communication.

• Helpful if You Struggle With: Advancing deals beyond the initial pitch or re-engaging stalled prospects.

• Unique Aspects: Focuses on purposeful and timely follow-ups to keep the momentum alive.

• Readers Who Had a Negative Experience Shared: Some felt the strategies were too basic for seasoned sales reps.

• Estimated Reading Time: 4–6 hours.

7. Go Big or Go Home by Diana Kander & Tucker Trotter

• Amazon Rating: 4.5/5

• Reader Outcomes: Greater confidence in pursuing high-value deals and a shift toward bold, ambitious sales strategies.

• Helpful if You Struggle With: Hesitating to pursue large-scale or high-risk opportunities.

• Unique Aspects: Encourages sales reps to embrace a go-big mindset and challenge the status quo.

• Readers Who Had a Negative Experience Shared: Some felt the book lacked actionable steps for securing larger deals.

• Estimated Reading Time: 5–6 hours.

8. Radical Candor by Kim Scott

• Amazon Rating: 4.6/5

• Reader Outcomes: Improved communication within teams, stronger relationships, and enhanced team collaboration.

• Helpful if You Struggle With: Providing honest feedback or addressing difficult conversations.

• Unique Aspects: Balances empathy with directness to foster trust and accountability.

• Readers Who Had a Negative Experience Shared: A few found the focus on managerial communication less relevant for individual contributors.

• Estimated Reading Time: 6–8 hours.

9. The Sales Leader's Problem Solver by Suzanne Paling

• Amazon Rating: 4.4/5

• Reader Outcomes: Enhanced problem-solving skills for sales managers and more effective team management.

• Helpful if You Struggle With: Overcoming common obstacles in sales leadership or motivating your team.

• Unique Aspects: Provides practical advice tailored to real-world sales challenges.

• Readers Who Had a Negative Experience Shared: Some felt the book was more suited for entry-level managers.

• Estimated Reading Time: 5–7 hours.

10. The Power of Value Selling by Julie Thomas

• Amazon Rating: 4.5/5

• Reader Outcomes: Improved ability to communicate value, leading to more competitive deals and higher margins.

• Helpful if You Struggle With: Competing on price or effectively demonstrating your product’s value.

• Unique Aspects: Focuses on helping buyers understand the tangible benefits of your offering.

• Readers Who Had a Negative Experience Shared: A few found the book overly focused on large B2B deals.

• Estimated Reading Time: 5–6 hours.

11. High-Profit Prospecting by Mark Hunter

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers improved their ability to identify high-quality prospects and effectively manage their pipelines.

• Helpful if You Struggle With: Generating qualified leads or wasting time on unproductive prospects.

• Unique Aspects: Focuses on building a prospecting process that generates reliable leads and targets high-value opportunities.

• Readers Who Had a Negative Experience Shared: Some felt the book overemphasized phone prospecting, which might not apply to all industries.

• Estimated Reading Time: 6–7 hours.

12. The Lost Art of Closing by Anthony Iannarino

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers reported an increased ability to guide prospects through the sales process and secure deals more consistently.

• Helpful if You Struggle With: Getting prospects to commit or closing deals effectively.

• Unique Aspects: Focuses on incremental commitments throughout the sales process to build toward the final close.

• Readers Who Had a Negative Experience Shared: Some found the book repetitive, with too much focus on conceptual ideas rather than actionable steps.

• Estimated Reading Time: 7–8 hours.

13. Selling with Noble Purpose by Lisa Earle McLeod and Elizabeth Lotardo

• Amazon Rating: 4.8/5

• Reader Outcomes: Readers developed greater motivation and achieved better sales results by focusing on creating value for customers.

• Helpful if You Struggle With: Feeling disconnected from the impact of your work or lacking purpose in sales.

• Unique Aspects: Encourages tying sales efforts to a higher purpose beyond revenue generation.

• Readers Who Had a Negative Experience Shared: A few felt the book was less relevant for highly transactional sales.

• Estimated Reading Time: 6–8 hours.

14. The Modern Seller by Amy Franko

• Amazon Rating: 4.5/5

• Reader Outcomes: Readers gained insights into adaptability and built skills to thrive in dynamic sales environments.

• Helpful if You Struggle With: Keeping up with changes in buyer expectations or modern sales techniques.

• Unique Aspects: Highlights five critical capabilities for modern sales success, including agility and relationship-building.

• Readers Who Had a Negative Experience Shared: Some felt it lacked depth on specific tactics.

• Estimated Reading Time: 5–7 hours.

15. MEDDICC by Andy Whyte

• Amazon Rating: 4.7/5

• Reader Outcomes: Improved deal qualification, leading to better forecast accuracy and higher close rates.

• Helpful if You Struggle With: Qualifying deals effectively or ensuring accurate sales forecasts.

• Unique Aspects: Introduces the MEDDICC framework, a systematic approach for qualifying complex sales.

• Readers Who Had a Negative Experience Shared: A few felt the methodology was too tailored for enterprise sales.

• Estimated Reading Time: 6–8 hours.

16. Pick Up the Damn Phone! by Joanne Black

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers reported more meaningful conversations and stronger relationships with prospects.

• Helpful if You Struggle With: Over-reliance on digital tools and lack of personal engagement.

• Unique Aspects: Advocates for using phone calls to build relationships and create meaningful connections.

• Readers Who Had a Negative Experience Shared: Some found it too traditional and not suitable for tech-heavy sales environments.

• Estimated Reading Time: 4–6 hours.

17. Selling from Scratch by Melissa Bezner and John B. Hill

• Amazon Rating: 4.5/5

• Reader Outcomes: Readers developed foundational sales skills and gained confidence in selling.

• Helpful if You Struggle With: Getting started in sales or mastering the basics.

• Unique Aspects: Focuses on building a strong foundation for new sales reps.

• Readers Who Had a Negative Experience Shared: A few felt it was too basic for experienced salespeople.

• Estimated Reading Time: 5–6 hours.

18. Fanatical Prospecting by Jeb Blount

• Amazon Rating: 4.8/5

• Reader Outcomes: Readers experienced significant improvements in lead generation and pipeline management.

• Helpful if You Struggle With: Consistent prospecting or overcoming call reluctance.

• Unique Aspects: Provides a no-nonsense approach to building a strong sales pipeline through disciplined prospecting.

• Readers Who Had a Negative Experience Shared: Some found the tone overly aggressive or harsh.

• Estimated Reading Time: 7–8 hours.

19. Whale Hunting by Barbara Weaver Smith & Tome Searcy

• Amazon Rating: 4.5/5

• Reader Outcomes: Readers successfully closed larger deals and targeted high-value accounts.

• Helpful if You Struggle With: Breaking into enterprise accounts or pursuing large-scale opportunities.

• Unique Aspects: Uses the metaphor of whale hunting to guide sales reps in landing big deals.

• Readers Who Had a Negative Experience Shared: Some found the metaphor distracting or the advice too niche.

• Estimated Reading Time: 6–7 hours.

20. The Job Nobody Dreams Of by Bill Becker

• Amazon Rating: 4.4/5

• Reader Outcomes: Readers gained a better understanding of the emotional resilience required in sales.

• Helpful if You Struggle With: Staying motivated or dealing with the rejection inherent in sales.

• Unique Aspects: Focuses on the mental and emotional challenges of sales.

• Readers Who Had a Negative Experience Shared: A few felt the book was overly pessimistic in tone.

• Estimated Reading Time: 4–5 hours.

21. Look Me in the Eye by Julie Hansen

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers improved their virtual selling skills and developed techniques for engaging buyers through digital platforms.

• Helpful if You Struggle With: Building rapport or maintaining attention during virtual sales calls.

• Unique Aspects: Focuses on nonverbal communication and virtual presence to enhance buyer connections.

• Readers Who Had a Negative Experience Shared: Some felt it was overly focused on presentation skills rather than broader selling strategies.

• Estimated Reading Time: 5–6 hours.

22. Inspire Your Buyers by Bruce Scheer

• Amazon Rating: 4.5/5

• Reader Outcomes: Readers reported creating more compelling narratives that inspired buyers to take action.

• Helpful if You Struggle With: Creating persuasive stories or aligning your pitch with buyer needs.

• Unique Aspects: Emphasizes storytelling as a tool to engage and motivate buyers.

• Readers Who Had a Negative Experience Shared: A few found the storytelling examples too lengthy and less practical for fast-paced sales.

• Estimated Reading Time: 6–7 hours.

23. The Work Before the Work by Paul M. Caffrey

• Amazon Rating: 4.4/5

• Reader Outcomes: Readers gained better preparation techniques, leading to stronger pitches and meetings.

• Helpful if You Struggle With: Feeling underprepared for calls or client meetings.

• Unique Aspects: Focuses on pre-meeting preparation to maximize effectiveness during sales interactions.

• Readers Who Had a Negative Experience Shared: Some felt the advice was too general and lacked specific examples.

• Estimated Reading Time: 4–5 hours.

24. Hope Is Not a Strategy by Rick Page

• Amazon Rating: 4.6/5

• Reader Outcomes: Improved strategic thinking, better deal planning, and higher close rates for complex sales.

• Helpful if You Struggle With: Relying on luck or ad hoc strategies to win deals.

• Unique Aspects: Introduces a structured approach to selling with a focus on controlling the sales process.

• Readers Who Had a Negative Experience Shared: Some felt it was more suited to enterprise-level sales than SMBs.

• Estimated Reading Time: 6–7 hours.

25. The Ultimate Sales Machine by Chet Holmes

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers improved their time management, marketing strategies, and sales systems.

• Helpful if You Struggle With: Scaling your sales efforts or managing your time effectively.

• Unique Aspects: Combines sales techniques with productivity tips for a comprehensive approach to success.

• Readers Who Had a Negative Experience Shared: A few found it overwhelming with too many concepts to implement at once.

• Estimated Reading Time: 8–9 hours.

26. The Qualified Sales Leader by John McMahon

• Amazon Rating: 4.8/5

• Reader Outcomes: Sales leaders gained insights into coaching reps and driving team performance.

• Helpful if You Struggle With: Managing a sales team or improving your leadership skills.

• Unique Aspects: Provides actionable advice for diagnosing sales issues and building high-performing teams.

• Readers Who Had a Negative Experience Shared: Some felt the book was too focused on large enterprise sales organizations.

• Estimated Reading Time: 6–7 hours.

27. The Challenger Sale by Matt Dixon & Brent Adamson

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers adopted a more proactive and challenging approach to selling, leading to increased win rates in complex sales.

• Helpful if You Struggle With: Differentiating yourself in competitive markets or influencing buyer decisions.

• Unique Aspects: Introduces the Challenger profile, advocating for teaching, tailoring, and taking control of the sale.

• Readers Who Had a Negative Experience Shared: Some felt it required significant adaptation to fit non-enterprise sales.

• Estimated Reading Time: 7–8 hours.

28. Think Like Your Customer by Bill Stinnett

• Amazon Rating: 4.5/5

• Reader Outcomes: Readers developed a stronger ability to empathize with buyers and align their pitches with customer priorities.

• Helpful if You Struggle With: Understanding customer perspectives or crafting buyer-centric messages.

• Unique Aspects: Teaches how to think from the buyer’s point of view to create more relevant solutions.

• Readers Who Had a Negative Experience Shared: A few felt the examples were overly simplistic.

• Estimated Reading Time: 6–7 hours.

29. 6 Figure Sales Secrets by Marcus Chan

• Amazon Rating: 4.8/5

• Reader Outcomes: Readers experienced a boost in personal productivity and income by following the actionable strategies.

• Helpful if You Struggle With: Achieving consistent high performance or scaling your sales results.

• Unique Aspects: Focuses on tactical steps to quickly increase earnings and hit ambitious goals.

• Readers Who Had a Negative Experience Shared: Some felt the advice was better suited for experienced sales reps.

• Estimated Reading Time: 5–6 hours.

30. To Sell Is Human by Daniel Pink

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers gained a fresh perspective on sales as a universal human skill, leading to more authentic interactions.

• Helpful if You Struggle With: Feeling uncomfortable with traditional selling techniques or seeing yourself as a salesperson.

• Unique Aspects: Redefines selling as a natural and essential human activity applicable to everyone.

• Readers Who Had a Negative Experience Shared: Some felt it lacked depth on specific sales techniques.

• Estimated Reading Time: 6–7 hours.

31. The Sales Upgrade by Hans J. Van Order

• Amazon Rating: 4.4/5

• Reader Outcomes: Readers developed stronger sales systems and processes, improving overall efficiency.

• Helpful if You Struggle With: Operating without a clear framework or managing inconsistent sales results.

• Unique Aspects: Focuses on upgrading your sales habits and techniques to achieve higher performance.

• Readers Who Had a Negative Experience Shared: Some felt the content lacked depth for experienced sales professionals.

• Estimated Reading Time: 4–5 hours.

32. Sales Pitch by April Dunford

• Amazon Rating: 4.8/5

• Reader Outcomes: Improved ability to craft compelling pitches that resonate with target audiences.

• Helpful if You Struggle With: Clearly articulating your product’s unique value proposition.

• Unique Aspects: Focuses on positioning as the foundation for creating winning pitches.

• Readers Who Had a Negative Experience Shared: A few felt the content was more applicable to startups or product managers than sales reps.

• Estimated Reading Time: 5–6 hours.

33. Conversations That Sell by Nancy Bleeke Noël

• Amazon Rating: 4.5/5

• Reader Outcomes: Improved ability to have buyer-focused conversations that lead to better outcomes.

• Helpful if You Struggle With: Keeping sales discussions centered on buyer needs and goals.

• Unique Aspects: Provides a conversational framework designed to build trust and uncover opportunities.

• Readers Who Had a Negative Experience Shared: Some found the framework overly simplistic for complex sales.

• Estimated Reading Time: 6–7 hours.

34. Sell Without Selling Out by Andy Paul

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers embraced a more authentic sales style, resulting in stronger relationships and better long-term results.

• Helpful if You Struggle With: Feeling uncomfortable with traditional, pushy sales tactics.

• Unique Aspects: Advocates for a human-centered approach that aligns with personal values.

• Readers Who Had a Negative Experience Shared: Some felt the book lacked step-by-step guidance for implementation.

• Estimated Reading Time: 5–6 hours.

35. Selling Is Hard. Buying Is Harder by Garin Hess

• Amazon Rating: 4.6/5

• Reader Outcomes: Improved ability to support buyers throughout their journey, leading to smoother deals and faster closes.

• Helpful if You Struggle With: Understanding the buyer’s challenges and reducing friction in their decision-making process.

• Unique Aspects: Focuses on the buyer’s perspective and how sellers can make their process easier.

• Readers Who Had a Negative Experience Shared: Some felt it was too focused on enterprise sales.

• Estimated Reading Time: 6–7 hours.

36. Gap Selling by Keenan

• Amazon Rating: 4.8/5

• Reader Outcomes: Readers developed stronger discovery techniques and improved their ability to uncover buyer pain points.

• Helpful if You Struggle With: Getting buyers to see the value of change or uncovering deep needs.

• Unique Aspects: Teaches sellers to highlight the gap between the buyer’s current state and desired future state.

• Readers Who Had a Negative Experience Shared: A few found the tone too aggressive for their selling style.

• Estimated Reading Time: 6–7 hours.

37. Emotional Intelligence for Sales Success by Colleen Stanley

• Amazon Rating: 4.6/5

• Reader Outcomes: Improved emotional intelligence skills, leading to stronger relationships and better negotiation outcomes.

• Helpful if You Struggle With: Managing emotions during sales conversations or building rapport with clients.

• Unique Aspects: Combines EQ principles with actionable sales techniques.

• Readers Who Had a Negative Experience Shared: Some felt the content was too theoretical.

• Estimated Reading Time: 6–7 hours.

38. Conversations That Win the Complex Sale by Erik Peterson & Tim Riesterer

• Amazon Rating: 4.7/5

• Reader Outcomes: Improved success in presenting solutions for complex B2B sales.

• Helpful if You Struggle With: Handling multi-stakeholder deals or crafting compelling pitches for complex scenarios.

• Unique Aspects: Focuses on using storytelling and messaging frameworks to persuade decision-makers.

• Readers Who Had a Negative Experience Shared: Some found the frameworks challenging to implement without extensive training.

• Estimated Reading Time: 7–8 hours.

39. Succeed Without Selling by Diane Helbig

• Amazon Rating: 4.5/5

• Reader Outcomes: Readers achieved better results by focusing on helping customers rather than “selling” to them.

• Helpful if You Struggle With: Overcoming a sales-centric mindset that prioritizes quotas over customer needs.

• Unique Aspects: Reframes sales as a service to the customer, making it more approachable.

• Readers Who Had a Negative Experience Shared: Some felt it lacked strategies for competitive industries.

• Estimated Reading Time: 5–6 hours.

40. The Seller's Journey by Richard Harris

• Amazon Rating: 4.4/5

• Reader Outcomes: Readers gained insights into creating a positive and consultative sales experience for buyers.

• Helpful if You Struggle With: Aligning your process with buyer expectations.

• Unique Aspects: Uses storytelling to illustrate key lessons about the sales process.

• Readers Who Had a Negative Experience Shared: Some found the storytelling approach less practical for daily use.

• Estimated Reading Time: 5–6 hours.

41. Sell Different by Lee Salz

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers differentiated themselves in competitive markets, leading to higher win rates.

• Helpful if You Struggle With: Standing out against competitors or communicating unique value.

• Unique Aspects: Offers actionable techniques for differentiating your sales approach.

• Readers Who Had a Negative Experience Shared: A few found the strategies less relevant for commodity sales.

• Estimated Reading Time: 6–7 hours.

42. New Sales Simplified by Mike Weinberg

• Amazon Rating: 4.8/5

• Reader Outcomes: Readers created robust pipelines and improved their ability to close new business.

• Helpful if You Struggle With: Prospecting, securing meetings, or creating a steady flow of opportunities.

• Unique Aspects: Provides a straightforward framework for new business development.

• Readers Who Had a Negative Experience Shared: Some felt it was too focused on outbound sales techniques.

• Estimated Reading Time: 6–7 hours.

43. The Science of Selling by David Hoffeld

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers gained a better understanding of buyer psychology, leading to improved conversion rates.

• Helpful if You Struggle With: Understanding why buyers make decisions or applying science-backed techniques.

• Unique Aspects: Uses behavioral science to back sales strategies with data.

• Readers Who Had a Negative Experience Shared: A few found the scientific explanations too detailed and theoretical.

• Estimated Reading Time: 7–8 hours.

44. The Sales Bible by Jeffrey Gitomer

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers improved their ability to sell in any environment through timeless principles.

• Helpful if You Struggle With: Building a strong foundation of core sales skills.

• Unique Aspects: Offers a wide range of practical advice applicable to all sales contexts.

• Readers Who Had a Negative Experience Shared: Some found the advice too general and less actionable for niche markets.

• Estimated Reading Time: 6–8 hours.

45. Spin Selling by Neil Rackham

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers successfully transitioned to a consultative selling style, especially for high-ticket items.

• Helpful if You Struggle With: Selling complex solutions or using a discovery-driven approach.

• Unique Aspects: Introduces the SPIN framework (Situation, Problem, Implication, Need-Payoff).

• Readers Who Had a Negative Experience Shared: Some found it less relevant for transactional sales.

• Estimated Reading Time: 6–7 hours.

46. The Sales Skills Book by Gerald Zankl

• Amazon Rating: 4.4/5

• Reader Outcomes: Readers enhanced their foundational sales skills and gained practical tools for success.

• Helpful if You Struggle With: Developing the basic skills needed to excel in sales.

• Unique Aspects: Offers a comprehensive guide to essential sales techniques for beginners.

• Readers Who Had a Negative Experience Shared: Some felt the book was too basic for experienced professionals.

• Estimated Reading Time: 4–5 hours.

47. Start with No by Jim Camp

• Amazon Rating: 4.5/5

• Reader Outcomes: Readers gained confidence in negotiating without unnecessary compromises.

• Helpful if You Struggle With: Standing firm during negotiations or creating win-win deals.

• Unique Aspects: Introduces a contrarian approach to negotiation that emphasizes control and decision-making.

• Readers Who Had a Negative Experience Shared: Some found the approach overly rigid for certain sales situations.

• Estimated Reading Time: 5–6 hours.

48. The Jolt Effect by Matthew Dixon and Ted McKenna

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers learned how to overcome buyer indecision, leading to fewer stalled deals.

• Helpful if You Struggle With: Moving deals forward when prospects hesitate to commit.

• Unique Aspects: Focuses on addressing buyer fears and reducing decision friction.

• Readers Who Had a Negative Experience Shared: A few found the strategies too focused on enterprise sales.

• Estimated Reading Time: 6–7 hours.

49. The Challenger Customer by Brent Adamson, Matthew Dixon, Pat Spenner, and Nick Toman

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers developed better strategies for engaging with multiple stakeholders in complex sales.

• Helpful if You Struggle With: Gaining consensus among buyer teams or managing complex deals.

• Unique Aspects: Focuses on navigating organizational dynamics and influencing key stakeholders.

• Readers Who Had a Negative Experience Shared: Some felt it was less actionable for smaller sales teams.

• Estimated Reading Time: 7–8 hours.

50. Endless Referrals by Bob Burg

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers built stronger referral networks, leading to a steady stream of warm leads.

• Helpful if You Struggle With: Generating referrals or leveraging your network effectively.

• Unique Aspects: Offers a systematic approach to creating mutually beneficial relationships.

• Readers Who Had a Negative Experience Shared: A few found the examples too traditional for modern sales.

• Estimated Reading Time: 5–6 hours.

51. How to Be a Great Salesperson… by Monday Morning by David R. Cook

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers quickly improved basic sales skills and felt more confident in their role.

• Helpful if You Struggle With: Learning sales fundamentals or achieving early success in a sales role.

• Unique Aspects: Offers a step-by-step guide for immediate improvements in performance.

• Readers Who Had a Negative Experience Shared: Some found it overly simplified and geared toward beginners.

• Estimated Reading Time: 3–4 hours.

52. You Can’t Teach a Kid to Ride a Bike at a Seminar by David Sandler

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers adopted the Sandler Selling System, leading to more consistent and predictable results.

• Helpful if You Struggle With: Closing deals consistently or navigating complex sales processes.

• Unique Aspects: Emphasizes hands-on, experiential learning over theoretical approaches.

• Readers Who Had a Negative Experience Shared: A few found the content repetitive and focused heavily on the author's methodology.

• Estimated Reading Time: 6–7 hours.

53. Selling to VITO: The Very Important Top Officer by Anthony Parinello

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers improved their ability to connect with executive-level buyers and secure high-value deals.

• Helpful if You Struggle With: Breaking into C-suite conversations or influencing top decision-makers.

• Unique Aspects: Focuses on techniques for targeting and engaging senior executives effectively.

• Readers Who Had a Negative Experience Shared: Some felt it was too focused on traditional corporate structures.

• Estimated Reading Time: 5–6 hours.

54. Pitch Anything by Oren Klaff

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers learned how to craft compelling pitches that grab and hold attention.

• Helpful if You Struggle With: Presenting your ideas confidently or keeping buyers engaged.

• Unique Aspects: Combines psychology and neuroscience to teach a framework for high-impact pitching.

• Readers Who Had a Negative Experience Shared: Some found the tone overly self-promotional.

• Estimated Reading Time: 5–7 hours.

55. The New Power Base Selling by Jim Holden and Ryan Kubacki

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers successfully identified key influencers within organizations and won complex deals.

• Helpful if You Struggle With: Navigating internal politics or identifying the right decision-makers.

• Unique Aspects: Emphasizes mapping organizational power dynamics to gain a competitive edge.

• Readers Who Had a Negative Experience Shared: Some found the approach overly analytical and time-consuming.

• Estimated Reading Time: 6–8 hours.

56. What Great Salespeople Do by Mike Bosworth & Ben Zoldan

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers improved their storytelling skills, resulting in stronger emotional connections with buyers.

• Helpful if You Struggle With: Making your pitches memorable or building trust through narrative.

• Unique Aspects: Focuses on leveraging the science of storytelling to drive sales.

• Readers Who Had a Negative Experience Shared: A few found the advice less applicable to highly transactional sales.

• Estimated Reading Time: 5–7 hours.

57. The Algebra of Sales and Persuasion by Brad David Ball

• Amazon Rating: 4.5/5

• Reader Outcomes: Readers developed a better understanding of the psychological drivers behind persuasion.

• Helpful if You Struggle With: Convincing hesitant buyers or crafting persuasive arguments.

• Unique Aspects: Combines mathematical logic with emotional intelligence to improve persuasion techniques.

• Readers Who Had a Negative Experience Shared: Some felt the concepts were overly theoretical and less practical.

• Estimated Reading Time: 5–6 hours.

58. You’ll Never Get No for an Answer by Jack Carew

• Amazon Rating: 4.4/5

• Reader Outcomes: Readers gained confidence in overcoming objections and closing tough deals.

• Helpful if You Struggle With: Handling rejections or negotiating with difficult clients.

• Unique Aspects: Focuses on persistence and reframing rejections as opportunities.

• Readers Who Had a Negative Experience Shared: A few felt the techniques were outdated for modern sales contexts.

• Estimated Reading Time: 4–6 hours.

59. Combo Prospecting by Tony J. Hughes

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers increased their outreach efficiency by combining digital and traditional prospecting methods.

• Helpful if You Struggle With: Generating consistent leads or breaking through prospecting fatigue.

• Unique Aspects: Advocates for multi-channel prospecting to maximize engagement.

• Readers Who Had a Negative Experience Shared: Some found it better suited for outbound-heavy sales roles.

• Estimated Reading Time: 6–7 hours.

60. When They Say No by Richard Fenton and Andrea Waltz

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers developed resilience and turned rejections into learning opportunities.

• Helpful if You Struggle With: Dealing with rejection or staying motivated after setbacks.

• Unique Aspects: Focuses on embracing “no” as part of the process toward success.

• Readers Who Had a Negative Experience Shared: A few found the book overly focused on mindset rather than practical tactics.

• Estimated Reading Time: 5–6 hours.

61. Let’s Get Real or Let’s Not Play by Mahan Khalsa and Randy Illig

• Amazon Rating: 4.8/5

• Reader Outcomes: Readers improved their qualification processes and built stronger buyer-seller relationships.

• Helpful if You Struggle With: Managing buyer expectations or aligning solutions with their needs.

• Unique Aspects: Encourages transparency and authenticity in the sales process.

• Readers Who Had a Negative Experience Shared: Some felt it required significant adaptation for transactional sales.

• Estimated Reading Time: 7–8 hours.

62. Crossing the Chasm by Geoffrey A. Moore

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers successfully positioned new technologies for mass-market adoption.

• Helpful if You Struggle With: Selling innovative products to early adopters or scaling to mainstream buyers.

• Unique Aspects: Introduces the concept of the “chasm” between early adopters and the mass market.

• Readers Who Had a Negative Experience Shared: Some found it less relevant for non-tech industries.

• Estimated Reading Time: 7–9 hours.

63. Listen to Sell by Mike Esterday and Derek Roberts

• Amazon Rating: 4.5/5

• Reader Outcomes: Readers improved their active listening skills, leading to stronger buyer relationships.

• Helpful if You Struggle With: Understanding buyer needs or staying engaged during conversations.

• Unique Aspects: Focuses on listening as the foundation for effective selling.

• Readers Who Had a Negative Experience Shared: A few found the advice too basic for experienced reps.

• Estimated Reading Time: 4–6 hours.

64. Secrets of a Master Closer by Mr. Mike Kaplan

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers learned advanced closing techniques to secure high-stakes deals.

• Helpful if You Struggle With: Closing complex or high-value sales consistently.

• Unique Aspects: Offers a deep dive into the psychology of closing.

• Readers Who Had a Negative Experience Shared: Some found the techniques overly aggressive for their selling style.

• Estimated Reading Time: 5–6 hours.

65. The New Model of Selling by Jerry Acuff

• Amazon Rating: 4.5/5

• Reader Outcomes: Readers developed a relationship-focused approach that helped build trust and increase deal success.

• Helpful if You Struggle With: Building authentic connections with prospects or relying too heavily on transactional tactics.

• Unique Aspects: Focuses on relationship-based selling and emphasizes trust as the foundation of sales success.

• Readers Who Had a Negative Experience Shared: Some found it repetitive, with concepts that overlap with other relationship-focused books.

• Estimated Reading Time: 6–7 hours.

66. The Introvert's Edge by Matthew Pollard

• Amazon Rating: 4.7/5

• Reader Outcomes: Introverted readers learned how to leverage their strengths to succeed in sales roles.

• Helpful if You Struggle With: Networking, prospecting, or building confidence as an introverted salesperson.

• Unique Aspects: Tailored specifically for introverts, offering strategies that align with their natural strengths.

• Readers Who Had a Negative Experience Shared: A few extroverted readers found it less relevant to their challenges.

• Estimated Reading Time: 5–6 hours.

67. Relationship Selling by Jim Cathcart and Victor Antonio

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers improved their ability to build long-term relationships, leading to repeat business and referrals.

• Helpful if You Struggle With: Creating strong connections that go beyond the transactional level.

• Unique Aspects: Focuses on the art of building trust and rapport to drive long-term sales success.

• Readers Who Had a Negative Experience Shared: Some felt it lacked depth on closing strategies.

• Estimated Reading Time: 6–7 hours.

68. Pick Up the Phone and Sell by Alex Goldfayn

• Amazon Rating: 4.8/5

• Reader Outcomes: Readers increased their call confidence and improved results with proactive outreach.

• Helpful if You Struggle With: Call reluctance or relying too heavily on email and digital communication.

• Unique Aspects: Encourages a back-to-basics approach of direct phone communication for better results.

• Readers Who Had a Negative Experience Shared: A few felt it lacked advice for incorporating newer technologies.

• Estimated Reading Time: 5–6 hours.

69. Selling 101 by Zig Ziglar

• Amazon Rating: 4.7/5

• Reader Outcomes: Readers developed a strong foundation of timeless sales principles that improved overall effectiveness.

• Helpful if You Struggle With: Grasping the basics of sales or understanding core selling principles.

• Unique Aspects: Offers a classic, no-frills guide to essential sales skills.

• Readers Who Had a Negative Experience Shared: Some found it too basic and geared toward beginners.

• Estimated Reading Time: 4–5 hours.

70. Always Be Qualifying by Darius Lahoutifard

• Amazon Rating: 4.5/5

• Reader Outcomes: Readers improved their qualification processes, leading to a stronger pipeline and higher close rates.

• Helpful if You Struggle With: Spending too much time on unqualified leads or deals that don’t close.

• Unique Aspects: Emphasizes continuous qualification throughout the sales process.

• Readers Who Had a Negative Experience Shared: Some felt it lacked tactical advice for B2C sales.

• Estimated Reading Time: 5–6 hours.

71. The 7 Secrets to Selling More by Selling Less by Allan Langer

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers increased sales by focusing on helping buyers make decisions rather than pushing products.

• Helpful if You Struggle With: Overcoming pushy sales habits or creating a buyer-centric process.

• Unique Aspects: Advocates for selling through understanding and guiding buyers, not pressuring them.

• Readers Who Had a Negative Experience Shared: A few felt the concepts were too general for highly technical sales.

• Estimated Reading Time: 5–6 hours.

72. Virtual Selling by Mike Schultz, Dave Shaby, and Andy Springer

• Amazon Rating: 4.6/5

• Reader Outcomes: Readers improved their virtual selling skills, including video calls, virtual presentations, and remote prospecting.

• Helpful if You Struggle With: Adapting to virtual sales environments or engaging prospects remotely.

• Unique Aspects: Provides actionable strategies tailored specifically for virtual selling scenarios.

• Readers Who Had a Negative Experience Shared: Some felt it focused more on basic principles rather than advanced virtual techniques.

• Estimated Reading Time: 6–7 hours.

Inspired by this LinkedIn Post!

If you enjoy this list I recommend subscribing to Haris Halkic’s SalesDaily Newsletter!

Prompt engineering will be one of the must learn skills for modern sellers in 2025. Unfortunately, many don’t even know the basics.

‘Prompt engineering’ sounds technical and unapproachable for non-technical folks, but it’s actually easier than you’d think. After all, it’s just tweaking how you write in natural language to make it easier for ChatGPT to deliver on what you want. Here’s an example of going from bad to good:

Sellers who learn these techniques will be far more successful leveraging AI in their day-to-day.

These are some of the basics that I’ve learned while writing prompts for customers at Clay.

WTF is Prompt Engineering?

Prompt engineering is the process of creating and refining the “prompts” (i.e., the text or instructions) used to interact with large language models (LLMs) so that you get the most useful and accurate responses.

By carefully crafting prompts—stating the goal, providing necessary context, specifying the desired format, or even giving examples—you guide the model’s output. Effective prompt engineering leads to higher-quality, more targeted answers, and reduces the need for extensive post-processing or iterative follow-up queries.

Input Options

A prompt can be accompanied by additional inputs. For example, you could upload a call transcript or CSV of data that you want to analyze.

These are some basic ones that we can use as sellers:

1. Call transcripts

2. CRM data exports

   • Activities

   • Pipeline

   • Closed Lost deals

   • Closed Won deals

3. Your case studies or marketing material

4. Website links of your customers

5. 10-K reports

6. Quarterly earnings reports

7. RFPs

8. Proposals

9. Call notes

10. Emails

Data Analysis Example with a CSV

This is an example of how I analyzed a CSV data set of subscribers for my other newsletter claymation (GTM Engineering with Clay and AI).

The data upload: CSV file of subscriber emails + job titles.

The prompt:

The output:

This could come in handy for those upcoming Q1 QBRs…

11 AI Prompt Best Practices

There’s a ton of techniques and best practices that can be used. I’ve found the following to be particularly helpful in how I write my prompts to get better results.

1. Be as specific as possible

2. Define the scope of your ask

3. Specify the format that you want for the output

4. Assign a persona to ChatGPT or your AI Agent

5. Describe the style you're looking for

6. Describe the tone you're looking for

7. Give a timeline, or date range

8. Provide examples of what you want the output to look like

9. Define location of where AI should look

10. Suggest effort ... this is one of my favorites... and surprising how it makes an impact: "Be as thorough as you possibly can. My job depends on this."

11. Seek explanations

In Part 2, I’ll show you examples of what a ❌ bad prompt looks like compared to a ✅ good prompt for a specific task.

More examples like this one coming up:

What if You Could Have a Sales Assistant That Knows Your Deal Inside and Out?

Imagine this: you’re preparing to give your leader a deal update, provide a forecast, or create a business case or handoff document—and with one question, an assistant instantly pulls together all the details, identifies risks, and drafts exactly what you need, tailored specifically to your deal.

That world exists today.

In this issue, I’ll walk you through how to build your own deal-specific sales assistant using ChatGPT. The best part? This process requires no special skills—anyone can do it! By the end of this guide, you’ll have an AI tool capable of answering any deal-related question and generating assets like business case documents or handoff plans and so much more.

Before we dive in, explore a live example!

ACME Deal Sales Assistant Demo - click link then ask any deal related questions or for documents like business case or ROI docs.

Some ideas:

• What top issues or priorities has the prospect mentioned, and which are still unresolved?

• Can you create a business case document to share with executive leadership?

• What questions or objections haven’t we fully answered yet?

• What business impact and success metrics matter most to the prospect?

Test its capabilities and get inspired to create your own.

What You’ll Need to Get Started

Before you begin, gather the following:

1. PDF exports of all emails, call transcripts, and deal-specific files.

2. A ChatGPT license: A free version works, but I recommend a paid plan for greater flexibility and data security.

Optional: Use tools like Google Docs or another editor to prepare your files for upload.

Step 1: Export Call Transcripts

What You’ll Need:

• Access to call recordings (e.g., Gong, Scratchpad, Zoom, or Chorus).

• A document editor like Google Docs or Word.

Steps:

1. Open your call transcripts.

2. Copy/paste each transcript into a Google Doc.

   • Tip: Combine all transcripts into a single document for easier management.

   • Pro Tip: Add the date to each transcript file name (e.g., 2024-12-01) to help your GPT organize and provide timeline-specific insights.

3. Export the document as a PDF.

Why This Matters:

Organizing your transcripts ensures the GPT can analyze the full context of your deal.

Step 2: Export Email Threads

What You’ll Need:

• Access to your email platform (e.g., Gmail, Outlook).

Steps:

1. Open the email thread with the customer.

2. Use the Print to PDF function in your email client.

   • In Gmail: Open the thread > Click the printer icon > Save as PDF.

3. Save the file with a clear name, like 2024-12-01_EmailThread.pdf.

Step 3: Create Your Custom GPT

What You’ll Need:

• Access to OpenAI’s Custom GPTs (available in the ChatGPT interface).

Steps to Build Your GPT:

1. Navigate to the Explore GPT section in ChatGPT.

2. Click Configure and follow these steps:

   • Add a Title: Use a deal-specific name like “Acme Deal Assistant”.

   • Write a Description: Example:

     “This assistant is trained on all interactions and documents for the Acme deal. It answers questions, analyzes gaps, and generates business case documents.”

   • Upload Files: Drag and drop your PDF files into the upload section.

3. Click Create and start asking questions!

Pro Tip: Invite your leaders or team members, such as SEs or CSMs, to use the assistant. They can quickly get up to speed on the deal and draft assets like business cases or handoff documents as needed.

Step 4: Start Asking Questions

Your custom GPT is ready! Here are some high-impact questions to get you started:

• What are the gaps in this deal based on MEDDPICC?

• Summarize the buyer’s objections and their current priorities.

• Create a one-page business case for this deal.

• Draft a handoff document for post-sale implementation.

Pro Tip: The better your questions, the more actionable insights GPT will provide. Experiment and refine your prompts for maximum value.

Enjoyed this article?