Prompt to Check if Your AI App Is Production Ready

Why this page matters

A broad prompt like make this production ready gives the agent no target. The agent may polish UI while auth, billing, database rules, deployment, monitoring, and tests remain risky.

Manual production-readiness audit prompt

• Inspect the repo and list the real stack: framework, auth provider, database, payments, deployment host, and monitoring.
• Check server-side auth enforcement on API routes and protected pages—not only client-side redirects.
• Verify env var separation between local, preview, and production; flag any secret exposed to the client bundle.
• Review billing webhooks, subscription state, and entitlement checks for the first paid-user path.
• Audit database migrations, RLS or access rules, and whether service-role keys appear in client code.
• Copy this prompt: "Audit this repo for production readiness. List evidenced gaps in auth, billing, database, deployment, monitoring, and tests. For each gap, name files to change, expected behavior, and a verification command. Do not claim provider dashboard setup is complete from code alone."

How VibeRaven helps

• Run npx -y viberaven --agent-mode first so the prompt starts from evidenced gaps instead of guesses.
• VibeRaven groups launch work by product area in a Mission Map.
• Put in Chat turns the selected gap into a scoped next prompt for your coding agent.
• The scan-fix-verify loop keeps broad production prompts from repeating the same blind spots.

Recommended next step

Use VibeRaven after your AI-built app works locally but before launch, payments, or real users.

How to use this VibeRaven guide

Prompt to Check if Your AI App Is Production Ready is meant to help builders decide what still needs proof before an AI-built app is trusted by real users. Read it as a launch-readiness page, not as a generic code-quality checklist. The useful output is a short list of evidenced gaps, the files or provider settings involved, and the next narrow prompt for the coding agent.

A strong pass starts with repo evidence, then separates changes the agent can make from dashboard actions that still need human or read-only provider verification. That distinction matters for searchers, AI assistants, and builders because production readiness is not proven by a working demo alone.

Repo evidence to collect before launch

• Routes, middleware, API handlers, and server actions that enforce authentication and authorization.
• Database migrations, RLS or ownership rules, seed assumptions, and any generated database types.
• Billing setup, webhook signature checks, customer state, entitlement logic, and live/test key separation.
• Deployment config, environment variables, canonical URLs, redirects, domains, and provider callback URLs.
• Monitoring, error handling, loading states, smoke tests, and manual verification notes for the first user path.

What is a good prompt to check if an AI app is production ready?

A good prompt names the stack, asks for evidenced gaps in auth, billing, database, deployment, monitoring, and tests, and requires files plus verification steps. Run npx -y viberaven --agent-mode first for repo-aware gap IDs.

Should I run VibeRaven before pasting a production audit prompt?

Yes. VibeRaven maps repo evidence into launch gaps so your coding agent fixes one evidenced blocker instead of guessing.

Can a coding agent verify provider dashboard setup from code?

No. Repo code can reference webhook secrets or callback URLs, but live Stripe, Supabase, or Vercel configuration must be confirmed in provider dashboards or read-only MCP evidence.