Free checklist
Is your AI-built prototype ready for production?
Built an app with Claude, Cursor, Lovable, Bolt, or another AI tool? Work through this checklist to see whether your prototype is ready for real users — across code, security, data, Cloud, and operations.
The AI Prototype Production Readiness Checklist covers code quality, security, authentication, database, APIs, Cloud deployment, CI/CD, monitoring, backups, cost control, scalability, AI safety, and maintenance readiness.
Code & APIs
- Code is structured and maintainable
- No secrets hardcoded in the codebase
- APIs validate input and handle errors
- Rate limiting on public endpoints
Security & auth
- Authentication implemented correctly
- Authorization checks on every protected route
- Secrets stored in a secrets manager
- HTTPS/SSL enforced everywhere
Data
- Database schema reviewed
- Automated backups configured
- Restore testing performed
- Migrations are repeatable
Cloud & deployment
- Dev, staging, and production separated
- CI/CD pipeline in place
- Domain and CDN configured
- IAM follows least privilege
Operations
- Logging and error tracking enabled
- Alerts configured for failures
- Cloud cost reviewed and controlled
- A clear owner for production
AI safety
- AI features grounded and guardrailed
- Fallbacks for low-confidence responses
- Escalation paths defined
- Usage and cost monitored
Want us to review your prototype?
Book a Production Readiness Audit and get a production readiness score, your top risks, and a clear path to launch.