Is this actually a product?
- Whether the problem is validated, or just assumed
- Scope, and whether it's actually bounded
- Who your users are, and how access should work
- What you're building vs. what you should just buy
For solo founders building with AI, not a technical co-founder
The technical co-founder you wish you had— for $29.
AI will build whatever you tell it to. It won't stop you and ask what happens to a user's data when they cancel, or who else can see it. PeterPlan will — reading your plan the way an experienced technical co-founder would, and telling you what's missing while it's still easy to fix.
One-time payment. Report in 30 minutes. No subscription.
Catch it while it's cheap
The cost asymmetry
A missing data-retention decision costs nothing to add to a plan. The same gap, found after launch, means retrofitting a database schema with real user data already in it.
A forgotten jurisdiction question costs one sentence now. Found later, it means rewriting a disclaimer your users have already been relying on.
Every gap PeterPlan finds comes with a suggested fix. Left until after you've built it, the same gap is a rebuild.
A fixed framework, not a friendly guess
Why not just ask ChatGPT?
You could paste your plan into a chatbot and ask what you're missing — and it'll tell you something. But it's improvising: agreeable by default, and just as likely to compliment your plan as interrogate it. It'll skip the boring-but-expensive stuff — data retention, abuse cases, which regulations even apply — unless you already know to ask.
PeterPlan doesn't improvise. Every plan gets run through the same fixed framework, every time — the questions an experienced technical co-founder would actually ask, whether or not you thought to ask them yourself.
The maker
Why I built PeterPlan
I'm Waiman. I knew the basics of coding, but vibe coding changed everything. My first AI-built apps felt like a miracle. On the surface everything worked. Then people used them: things broke, bugs turned up everywhere, and underneath I realised the code wasn't good.
So I changed how I worked. I started planning carefully, and planning soon took more of my time than anything else. That was the beginning of my AI development framework. It grew with every project I built, and now it's the structure behind everything I make.
PeterPlan puts that same framework to work on your plan, so you can catch what's missing before AI writes a single line.
A structured review
What PeterPlan actually checks
Fifteen things, grouped into three questions:
Will it hold up technically?
- What data you're collecting, and what happens to it
- Every integration, and whether it's secured
- Any AI/LLM use, and whether it's designed safely
- The security fundamentals a plan should already answer
- Whether slow or heavy features will cope when it gets busy
- How you'll check changes before they reach your users
Will it survive contact with reality?
- Which regulations might apply, and whether you've named them
- What happens when something breaks, and how you'd recover
- Whether your pricing survives contact with its own costs
- The obvious ways your product could be abused
- Whether you're actually ready to launch, not just to build
See it for yourself
A finding should leave you knowing what to do next.
A real finding from the sample audit — MealMate, an AI meal-planning app for UK families:
⚠️ Gap — Data Model & Classification
Finding: The data model lists users, family profiles (including children's ages and allergies), meal plans and shopping lists, but nowhere states how long this data is kept or how it is deleted.
Recommendation: Write down how long family profile, meal plan and shopping list data is retained, and what happens to it when a user deletes their account.
Example for your plan: When a user deletes their account, their family profile, meal plans and shopping lists are permanently deleted within [30] days; allergy and children's-age data is never retained beyond this point.
When to fix: Before you build (or build further)
Nothing vague. Every finding points at something specific in your plan, explains why it matters, tells you what to do about it — with example wording you can adapt — and when it needs doing.
How it works
Buy your audit pass.
A single review or a pack — your access code lands in your inbox straight away.
Submit your plan.
Upload one Word or Markdown document. No required format, no account to create — or start from our free plan template.
Get your report.
Delivered to your inbox, usually within 30 minutes — a clear breakdown of what's strong, what's missing, and an action plan that puts what to fix before you build first.
One clear price
Choose your pack
Best for one plan
Single audit
$29
One plan, one report. No commitment.
Save $18
3-pack
$69
For submitting, revising, and checking again.
Save $46
5-pack
$99
For multiple ideas, or a plan you want to get right through a few passes.
All one-time payments. No subscription, no recurring charge. Every audit, whichever pack you buy, gets the same 15-point review.
A few honest things, upfront
- PeterPlan reviews what's actually written in your plan — nothing is assumed or inferred beyond it. If something isn't mentioned, we'll say so plainly rather than guess.
- This isn't legal, financial, or compliance advice — it's a structured review, a second pair of eyes that tells you what's worth checking further, and with whom.
- Your submitted plan is deleted as soon as your report is generated. We don't keep it. Your report itself is kept for 30 days so you can revisit it, then deleted too.