💰 how my founder friend closed $1.5M in rev with AI

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Subscribe here | Unsubscribe here | Dec 3 2025 | FIV #105

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The secret to creating wealth
How to achieve your goals in 2-3 months
How my friend closed $1.5m using AI in 2025

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How My Friend Closed $1.5M in Partnership Revenue Using a "Prompt Stack"

One of my friends runs a B2B company that lives and dies on partnerships.

In 2025, he did something founders always talk about but rarely pull off:

He closed $1.5 million in revenue from partners—and he did it by building a simple "prompt stack" around his sales calls.

Not a massive outbound team. Not 100 cold emails a day.

Just: really good conversations + a system that turned every call into sharp follow-ups, tailored objection handling, and clear next steps.

Here's exactly how his setup works and how you can make it your own.

Step 1: Let Gemini quietly run point on every partnership call

He runs all his partnership calls on Google Meet and treats Gemini like a silent chief of staff.

Every time he's meeting a potential partner, he:

Turns on Gemini in Google Meet to capture the conversation.
Lets Gemini generate live notes, summaries, and action items while he focuses on the human in front of him.

By the end of the call, he's not relying on memory or half-baked bullet points. He has:

What they want, in their own words
What he committed to
Deadlines, owners, and next steps
A rough outline of what success would look like for both sides

The win here: he never leaves a call thinking, "That went well…I'll sort it out later."

Gemini makes sure the raw material is always captured.

Step 2: Turn the transcript into a "deal brain" with an SDK-style chat

After each call, he grabs the Gemini transcript and uploads it into a persistent SDK-style chat he's set up—basically a long-lived conversation that acts as his deal brain.

That's where his master partnership prompt lives.

It looks something like this (paraphrased):

"You are my Senior Partnership Strategist.

Analyze this transcript and give me:

What the partner wants, in their language.
What I want, clearly stated.
The conditions for success (what has to be true for this to work).
Hidden risks or red flags.
A follow-up email that moves us one concrete step closer to a signed deal."

He's refined this prompt over time so the tone, framing, and structure sound like him. His big advice for this step is to continue to have a "conversation" with Chat, Grok, or your preferred LLM until you get the info you need.

Now, instead of staring at a blank screen after each call, he starts with a deal blueprint specifically tailored to that partner.

Step 3: Use Grok as the "objection engine"

This is where it gets fun.

He uses Grok as his objection engine—especially because Grok comfortably handles larger context windows (around 5,000 characters), which is perfect when you're feeding it:

Call summaries
Key bullets from the transcript
Previous emails or notes

He'll paste in the call summary and context and ask Grok:

"Pretend you're the cautious decision-maker on the partner's side.

List every reason you'd hesitate to move forward.
Include budget, risk, bandwidth, timing, and internal politics.
For each objection, tell me what proof, framing, or structure would reduce that fear."

What comes back is a brutally honest list of objections that might never be said out loud:

"We're scared we'll be locked into this and regret it."
"We don't have enough internal resources to support this."
"We tried something like this before and it fizzled."
"We're worried about how this reflects on our brand if it underperforms."

Instead of guessing what they're worried about, he has a map of their likely hesitations.

Step 4: Build a tailored Objection Playbook before the second call

Next, he turns that objection list into a mini playbook.

He asks Grok:

"For each objection:

Write one short pre-emptive line I can use on the next call.
Write a calm, confident response if they say it directly.
Suggest a proof point or example I could include in an email or deck."

That gives him a grid like:

Objection: "What if we don't have the bandwidth?"
- Pre-emptive line: "We designed this so the lift on your side is light—we handle almost all of the execution."
- If they say it out loud: "Totally fair. Most partners we work with are already stretched thin. That's why we set this up so your team mostly approves and sanity-checks; we run the day-to-day."
- Proof point: A quick mini-case study showing another partner that only needed 1–2 internal champions and a monthly check-in.

Multiply that by 10–15 real objections, and the next call feels prepared, not improvised.

This is one of the big reasons he closes partnerships while others stall:

By the time objections surface, he has already rehearsed how to meet them.

Step 5: Turn every call into a follow-up sequence in under an hour

Once the transcript has been analyzed and the objection map is built, he creates a mini follow-up sequence for that specific partner.

Using the transcript + summary + objections, he prompts:

"Write:

A same-day follow-up email recapping what we discussed and confirming the next step.
A 2–3 day check-in email that adds a new idea or proof point (not just 'bumping this up').
A 'last call for now' email that keeps the door open if they go quiet without sounding desperate."

He'll also generate:

A one-page partnership outline he can drop into a deck
3–5 subject lines
1–2 LinkedIn DM versions if another stakeholder has to be looped in

The key here: he never relies on "I'll remember to follow up."

The sequence is drafted while the call is still fresh—and then lightly edited to sound like him.

Step 6: Make the revenue target part of the system

Here's the part I love the most.

He doesn't treat his revenue goal as a vague wish.

He bakes it into the workflow:

"My target is $1.5M in partnership revenue in 2025.

Using this deal as a reference, tell me:

What a realistic deal size could be.
What would count as a 'win' in the next 30 days.
What I should ask for on the next call to move closer to that target."

That's how he thinks in terms of deal math, not vibes:

"If I close 4–6 deals like this one, I hit $1.5M."
"If this one closes at X, I still need Y more at an average of Z."
"On the next call, I need to push for A, B, and C—not just 'talk options.'"

The tools don't guarantee the number.

But they force clarity around structure, timelines, and stakes—which is where most partnerships quietly die.

The end result?

He's not the loudest founder.

He doesn't spray-and-pray 10,000 emails.

He runs a focused partnership pipeline where every call becomes an asset:

Gemini captures it
His SDK chat turns it into a blueprint
Grok turns it into an objection playbook and follow-up system
And his revenue goal ($1.5M from partners in 2025) is woven into the prompts themselves

If you're already having promising conversations, you don't necessarily need more leads.

You might just need a prompt stack that makes sure good calls don't quietly evaporate into "We'll circle back next quarter."

While Everyone Fights on Meta and TikTok, the Smart Money's Moving Here

If the first half of this issue was about working smarter, this part is about spending smarter.

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Early eCommerce brands are already seeing META-level performance and up to 20–30% incremental growth.

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