Many AI additions look compelling in a demo but collapse under actual use because they are not tied to a meaningful job to be done.
Useful AI usually needs constraints
Practical AI features depend on context, guardrails, evaluation, and often human review. That is especially true in products with business risk, user trust requirements, or operational consequences.
- Start from a workflow, not a model feature.
- Decide where human review is required.
- Make failure modes visible before putting AI in a user-critical path.