Engineering / 7 min read
From AI-Built Prototype to Production: A Practical Checklist
What founders should inspect before putting an AI-generated or rapidly built application in front of paying customers.
A working demo is not the same as a production service
AI-assisted tools can accelerate initial development enormously. That is useful. But a successful demo says little about how a system handles account boundaries, unexpected inputs, failures, upgrades, or growing data volumes.
The sensible next move is not an automatic rewrite. Inspect what exists, retain working components, and rank issues by their impact on actual users.
Identity, permissions, and data boundaries
Confirm authentication and authorization on the server for every sensitive action. Check that one user cannot read or modify another user's data, including through direct API requests.
Audit access tokens, environment secrets, third-party credentials, data retention rules, and backups. Never rely on a hidden button in the UI as an access-control mechanism.
Reliability, testing, and reversibility
Test critical user journeys, payment states, and failure behavior. Establish meaningful automated tests for workflows that would be costly to break.
Use separate environments, a repeatable deployment pipeline, release monitoring, and a recovery strategy. Document what happens if an external API becomes slow or unavailable.
AI-specific evaluation and oversight
For any AI feature, maintain representative evaluation examples, record cost and latency, and test inaccurate or unsafe outputs. Ensure external tool calls have explicit permissions and sensible limits.
Do not allow a model to make irreversible customer, financial, or operational decisions without appropriate controls.
Turn the audit into a staged plan
Prioritize critical security and data-integrity issues first, followed by reliability, operational visibility, performance, and maintainability. Not every code-quality issue is a launch blocker.
A production-readiness review should end with a ranked risk register, recommended remedies, rough effort estimates, and acceptance criteria—not simply a long list of things to rebuild.