USE CASE · PROTOTYPE TO PRODUCTION
The demo works. What sits underneath it was never built for real users.
The situation
A prototype earns its keep the moment it proves somebody wants the thing. Then the job changes. Users arrive, they bring data you are now responsible for keeping safe, and the same codebase that won the argument has to survive a Tuesday afternoon with everyone logged in at once. Almost none of that second job is visible on screen, which is why it tends to get discovered late and all at once.
What breaks
One database doing every job, unindexed and unbacked. Uploaded files in a bucket anyone with the link can read. Schema changed by hand in a console, so no two environments match. Slow work running inside the web request, so the page times out as soon as two people do the same thing at the same time.
PRODUCTION READINESS REPORT
AUDIT NO. 0147 · AUG 2026
Anon key with write access in the clientCRITICAL
Auth checked in the UI, not in the APICRITICAL
No rate limiting on any endpointCRITICAL
Schema edited live, no migrationsNEEDS ATTENTION
Logging is console.log onlyNEEDS ATTENTION
An illustrative finding set for an AI-built export. All fixable in 4 weeks.
ILLUSTRATIVE · NOT A CUSTOMER REPORT
totally normal for AI-built apps — fixable, here's the plan →
What we do about it
STEP 01 · FREEAudit the repoRead-only access, and 48 hours later you have a graded report: everything standing between the prototype and production, ordered by risk and priced.STEP 02 · FIXED PRICEProductionize itWe keep the UI and the flows your users already validated, and make everything underneath them production-grade.STEP 03 · OPTIONALKeep it healthyMonitoring, patches, and a steady lane of improvements each month until you have your own team. Cancel any month.
What production means here
- 01Environments defined as code, so staging and production actually match
- 02A data model with migrations, indexes, and a restore that has been tested at least once
- 03Long work moved onto a queue and off the request path
- 04Backups, error tracking, and alerts that reach an engineer before they reach a customer
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