Access and data
We check auth flows, route protection, database access rules, role boundaries, private tables, and whether user data can be read by the wrong person.
AI app production readiness
Make your AI-built app safe enough for real users.
A production readiness review finds the launch risks that do not show up in a demo: broken auth, exposed secrets, open database tables, missing migrations, fragile hosting, and no rollback plan.
What is a production readiness review for an AI-built app?
A production readiness review checks whether the app can safely support real users, real data, and real workflows. It is different from a design critique or code style review because it focuses on the risks that can break a launch or expose customer data.
Secrets and services
We look for client-shipped API keys, unsafe environment variables, webhook exposure, third-party billing risk, and missing service boundaries.
Launch operations
We review hosting, deployments, migrations, rollback paths, dependency risk, observability, error handling, and the steps needed before traffic arrives.
For founders, production readiness means the app is not just impressive in a demo. It can survive real users, real data, and real mistakes.
When do you need human review instead of an automated scan?
Automated scans are useful for public-surface checks. They cannot prove that private data is protected, that database policies are correct, or that a failed deploy can be rolled back.
Use the free scorecard first
The scorecard is the fast filter. It checks client-bundle key patterns, common private routes, Supabase/RLS signals, CORS, security headers, runtime errors, and secondary page quality signals.
Use human review before launch
Human review is needed when the app has logins, payments, internal dashboards, customer data, automated workflows, admin routes, file uploads, integrations, or anything expensive to break.
Use the roadmap to fix the right things
The output is a prioritized remediation plan. It separates launch blockers from cleanup tasks so founders do not waste engineering time on the wrong issues.