Background: I'm an AI engineer — I benchmark LLMs for a living.
I kept watching sales-rep friends use ChatGPT in ways guaranteed
to fail: pasting confidential prospect data into free chatbots,
trusting hallucinated company facts, sending emails that read
like AI parodies.
So I wrote a 47-page playbook with 50 tested prompts for finding,
researching, and emailing B2B prospects. Each prompt has:
– The exact text to copy-paste
– What good output looks like
– What to do when output is bad
– A real example
The angle most sales-prompt content misses: most of it is written
by salespeople who don't actually understand how LLMs fail.
I tried to write the version someone with technical depth
would write — covering hallucinations, model selection
(Claude vs ChatGPT vs Gemini for which task), and data
safety honestly.
Live now on Gumroad: [https://elnarbazone.gumroad.com/l/ai-prospecting-playbook]
A few honest things I'm still figuring out:
1. Distribution. I'm in Azerbaijan, so most Western platforms
(Etsy, Stripe-based tools, etc.) are limited for me.
Currently selling via Gumroad and looking at Amazon KDP next.
2. Pricing. Set at $29 — uncertain if that's right for an
ebook in this category. Open to feedback.
3. Audience. The product is for B2B sales reps specifically,
but my own network is mostly AI engineers. Still working
out how to reach the actual buyer audience.
If anyone's gone through this kind of "expert in adjacent
field tries to sell to specific buyer audience" problem
before, I'd love to hear what worked for you.
Happy to share what I learned about prompt engineering for
non-image LLM tasks if anyone's curious.