
brieFFlow
LiveProduct Case · AI Workflow Debugging
A press-release product grounded in team documents, with the path to each result visible
Scope
- Team-document retrieval
- a five-stage writing workflow
- per-stage inputs and outputs
- a process debugger
- and before-and-after evaluation
- Hardest problem
- Even a plausible AI draft can be wrong without revealing why. I needed to separate a bad document search from a bad draft step or a review rule that removed useful content.
- Decision
- I split press-release writing into five stages: document initialization, note normalization, draft generation, draft review, and selected revision. Each stage saves its input and result so the current state and the point where a problem began stay visible.
- Rejected alternative
- Sending whole documents to one prompt and inspecting only the final output was rejected because it hides the failing stage and makes the same conditions difficult to verify again.
Result
Instead of inspecting only a bad final draft, I can see where the problem began. The debugger and the same evaluation questions compare before and after so I can check whether a change actually improved the result.





