CAIN-42 CAIN StudioThe niche: AI-written code quality and due diligence
Companies buying, funding, outsourcing or depending on code that was written fast, often with AI. The pain is "does this actually work, or does it only look like it?".
Why this niche exists now
- AI tools produce large volumes of plausible-looking code quickly.
- Investors and acquirers increasingly ask how much of a codebase was AI-generated and whether it is real.
- Normal linters and security scanners look for bugs and vulnerabilities, not for fake-but-tidy code.
- Agencies and contractors deliver AI-assisted code that clients cannot easily inspect.
What people use today, and where it falls short
| What teams do today | Where it falls short |
|---|---|
| Code review by a senior engineer | Slow, expensive and tired eyes miss tidy fakes. |
| Linters and static security scanners | They look for errors and vulnerabilities, not for typed-in results. |
| Test coverage numbers | Tests can be fake too: a test that always passes still counts as coverage. |
| Ask the AI to review its own code | It tends to approve what it wrote. |
What makes FALSEWORK different
- Built for one question: is this real or fabricated?
- Deterministic: no AI judge, same input, same grade.
- Precise: on our benchmark it raised 0 false alarms at the blocking grade.
- Signed report the client can re-check offline.
How big is the opportunity?
Do not quote market-size statistics on a call. Most published figures are surveys or vendor estimates, and a smart buyer will ask for the source. Size the opportunity per prospect instead, with these questions:
- How much of your codebase was written with AI tools?
- Are you about to buy, fund or ship code you have not read?
- Do you work with outside contractors or agencies?
- Is the code in Python?
If the honest answers are "no" or "not yet", they are not a buyer today. Note it and move on; that is good selling, not failure.
Explain the niche in 30 seconds
Companies buying, funding, outsourcing or depending on code that was written fast, often with AI. The pain is "does this actually work, or does it only look like it?".
FALSEWORK finds code that looks finished but is fake: hardcoded results, random numbers posing as scores, checks that can never fail.
Practise saying this out loud until you can do it without reading. Then say it in your own words.
Words your buyers use
These are the phrases people in this niche type into search engines and use in posts and job ads. Use them to find prospects (page 3) and to talk their language:
AI-generated code quality technical due diligence code audit vibe coding risks fake implementation
Sell it together with
Buyers rarely have just one problem. When this product fits, these often fit too:
| Product | Why it goes together |
|---|---|
| cain_audit deliverables | how the audit is delivered |
| KEYSTONE | fix what it finds, with proof |
| VibeGuard | AI-written code patterns |
Rule: open with one product. Mention a second only after the first is agreed.
Next: who buys and where to find them →
FIRME AI CORPORATION · CAIN-42 is a Byzantine trust fabric. Numbers marked "our own check" were run by us, not by an independent party. Nothing on these pages is a certification.