Your prototype works. Now someone wants to use it for real.
The Production-Readiness Checklist covers the step from proof of value to production, where most of the work turns out to be, and most of it isn't code. Score your app against 60 checks from our 2026 production-readiness audits before your first real users arrive with their own data.

- Ten day-one checks to close before anyone real logs in
- 60 checks across ten sections, each with what we saw go wrong
- AI controls for apps that call a model: evals, spend caps and fallbacks
- A scorecard that gives you a go, a conditional go or a no-go
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Get the checklist
A blank box is a decision nobody made.
Mark every check fixed, accepted as a risk with a named owner, or out of scope. Each one is something we saw go wrong in an audit, or watched someone get right the hard way.



- p. 2
How to score it
Three steps, done with whoever will run the service, not just whoever built it. Mark each check fixed, accepted or out of scope, then count the blanks.
- p. 3
The day-one ten
Ten checks drawn from across the list. If you only have a day, start here. If any one of them is still open, the scorecard reads no-go.
- pp. 4–6
Scope, data and ownership
Decide what production means, map every third party your users' data reaches, and make sure the business owns the code, the hosting and the accounts.
- pp. 6–8
Security and testing
A security baseline before any real user, and why a green test suite is not the same as a working product.
- p. 8
AI controls
AI advises, rules block. Evaluation sets, spend caps, human approval, and what users see when the model provider fails.
- pp. 9–11
Running it, then the scorecard
Deployment, capacity and cost, support, and watching real users struggle without helping. Then add it up: go, conditional go or no-go.
For apps that work in the demo
- Founders who built an app with AI coding tools and now have real users waiting
- Teams taking an internal proof of value out to customers or the wider business
- Whoever will run the service once it's live, not just whoever built it
If your app uses AI, section 06 adds seven AI-specific controls on top of everything else.
passing backend tests in one app we audited.
production blockers the audit still found. The tests passed. The product wasn't ready.
Brainqub3 runs production-readiness audits on a frozen copy of your app, on our own infrastructure, with synthetic data only. The checklist is built from that work.
Led by a Claude Certified Architect – ProfessionalFind out before your users do: go, conditional go or no-go.
Download the checklist and score your app before the first real user logs in. If you only have a day, start with the day-one ten.
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