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Everyday Founders
Expert topic

Get help with AI & product engineering from someone who’s done it.

Decide where AI earns its place in the product and how to test it without mistaking a demo for reliability. Get help with AI & product engineering, shaped by your business model, customers and chosen goal.

Sara V.Amara O.Priya S.Addee A.Sara L.Diego M.Luca R.Elena G.Nia M.Greg T.Tom B.Jonas W.Marcus R.Phanda E.Shannon W.

Operators who have built and scaled real businesses.

Your business. Your goal.No equity taken.Remote, wherever you build.

How an operator helps

Where AI products quietly go wrong.

Most AI features fail on cost, accuracy or trust, not on the model. An operator who has shipped AI in production looks for these early.

Trap 01

A demo that never becomes a product

It works on five hand-picked examples, then breaks on real customer inputs nobody tested.

Trap 02

Costs that grow faster than revenue

Every request calls the largest model. Usage climbs and margin shrinks with it.

Trap 03

No way to tell if it got better

Prompts change weekly with no test set, so quality is judged by gut feel.

Trap 04

AI where a rule would do

A model handles work a simple lookup or form could do faster, cheaper and more reliably.

What your operator works through with you

  1. 01

    Decide where AI earns its place

    What they look at

    The user problem, the job the AI does and what a non-AI version would look like.

    What they push back on

    Whether the AI part changes the customer outcome or just the demo.

    You leave with

    A clear scope: what AI does, what stays simple.

  2. 02

    Set up a quality check you can trust

    What they look at

    Real customer inputs, failure cases and how you judge a good answer today.

    What they push back on

    Shipping changes without a small test set to compare against.

    You leave with

    A starter evaluation set and pass rule.

  3. 03

    Model the cost per customer

    What they look at

    Requests per user, model choice, context size and your pricing.

    What they push back on

    Margins that only work if usage stays low.

    You leave with

    A cost per customer and the levers to lower it.

  4. 04

    Plan for mistakes and trust

    What they look at

    What happens when the answer is wrong, slow or unavailable, and what data you send out.

    What they push back on

    Missing fallbacks, human review or privacy checks for sensitive data.

    You leave with

    Guardrails and a fallback for the riskiest step.

1:1 expert help

A second opinion.
On your actual problem.

Bring your notes and customer signals. An operator challenges the evidence, not just the idea.

Get 1:1 advice
01

Compare AI with a simpler rule-based or manual approach.

02

Define acceptable output and costly failure cases.

03

Test representative examples before promising automation.

04

Review human oversight, data handling and the cost per task.

How a call works

Get matched.
Book. Leave with a plan.

  1. 01

    Get matched

    Operators who have solved this problem.

    AI Matching

    Finding the right experience…
    Nia Mensah

    Nia Mensah

    Retention strategy

    96%
    Luca Romano

    Luca Romano

    Customer activation

    91%
    Tom Brennan

    Tom Brennan

    Onboarding design

    87%
  2. 02

    Book a time

    In your timezone. First 30 minutes free.

    Pick a time€0 · first call free
    Amara Okafor

    Amara Okafor

    Pricing strategy · 30 min

    Tue 23 Sep

    10:00

    Tue 23 Sep

    15:30

    Wed 24 Sep

    09:00

    Wed 24 Sep

    17:00

    Shown in your timezone

    Book this time
  3. 03

    Summary & takeaways

    Recording, summary and actions for your Roadmap.

    Call summary

    Session · 30 minutes

    Idea validation & customer discovery

    Key takeaways

    Buyers solve this today with spreadsheets and extra hours.

    Three of four would pay to cut onboarding to one day.

    The pilot offer needs a defined start date, not a demo.

    Action points

    Draft the paid pilot offer

    Interview two more buyers

    Saved to your company brain and Roadmap.

Calls happen live in the platform

Meet live. Leave with the decision.

No links out. The recording and summary save themselves.

Live, one to one 00:00
Greg · Product
You speaking

“Is this segment worth building for?”

30 minutes Summary saved to your AI coach

When to call an operator

Three moments a call
pays for itself.

Your AI coach handles the day to day. Bring in an operator when the decision matters and the evidence is thin.

01

An impressive demo fails on real customer inputs.

Compare AI with a simpler rule-based or manual approach.

02

You are promising autonomous work to buyers.

Define acceptable output and costly failure cases.

03

Model costs or human review undermine margins.

Test representative examples before promising automation.

Advice and coaching calls are part of membership.

Questions, answered

Before you
take the next step.

AI & product engineering

Membership & Everyday Founders

Everyday Founders membership

The support stays.
Even when the question changes.

Your AI coach, goal-led playbooks and unlimited 1:1 operator advice in one membership. From your first customer questions to revenue, a repeatable business and readiness to raise.

No equityRemote firstYour pace

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Special launch price
Start · $171 billed every 3 months

Satisfaction guarantee. Full refund within 14 days if not satisfied.