Prototype Is Not Product
Many teams stop at a prototype that looks useful but has no guardrails, no observability, and no process ownership. That is why the demo works and the product does not.
Common Failure Modes
Weak data boundaries, missing human review, brittle prompts, no error handling, and vague success metrics are the usual blockers.
What Production Needs
Production AI apps need a stable input contract, deterministic fallback behavior, measurable outputs, and a support path for exceptions.
Launch Sequence
Define the use case, build one narrow path well, instrument the workflow, and expand only after real usage shows that the system holds up.