Build a web application that allows human reviewers to inspect multi-turn conversational traces and record structured annotations. Focus on fast, minimal review workflow. Avoid unnecessary features.
An example set of traces is attached.
| # Sample AI PRD: Support Ticket Triage (v1.0) | |
| **Owner:** [Name] | **Status:** Prototyping | **Default Model:** Gemini 3 Flash Preview | |
| ## 1. Problem & Business Value | |
| Support leads spend about 4 hours per day manually tagging tickets. This creates a lag before specialists can see high-priority issues. | |
| **Proposed solution:** A background agent that autonomously classifies tickets in real time by Intent, Sentiment and Urgency |