AI product readiness
Before I Trust an AI Feature
Why the PRD needs a readiness layer for behavior, failure, evaluation, and control
The demo works. That is not the same as the feature being ready.
This piece argues for a readiness layer in the PRD that makes behavior, failure, evaluation, and control explicit before a promising AI capability becomes a launch decision.
Demo
Capability visible
Readiness
Decision evidence
Trust
Launch confidence
Readiness gate
Behavior
Expected paths
Failure
Known limits
Evaluation
Launch evidence
Control
Human authority
A demo proves capability. Readiness earns trust.
The readiness layer
What I want the PRD to make explicit.
01
Behavior
What should the feature do across normal, ambiguous and edge cases?
02
Failure
How can it fail, who is affected and how reversible is the outcome?
03
Evaluation
What evidence supports launch, and what will be monitored after it?
04
Control
Who can review, override, pause or roll back the feature?
Why this belongs in the PRD
AI behavior is part of the product contract.
The PRD should define more than the happy path. It should make expected behavior, failure modes, evaluation evidence and the control model reviewable before the team commits to launch.
- The feature should be understandable before launch.
- Failure should be discussable before it happens.
- Evaluation should be tied to product decisions.
- Control should be designed before users need it.
Keep reading
Trust starts before launch.
The best time to define behavior, failure, evaluation and control is before a successful demo becomes a production dependency.