Week 5 — Production Capstone: Confidence-Aware Support Automation

Specify the typed decision contract and acceptance criteria for a multi-stage support-automation workflow.

Implement a TypeScript decision service that combines intent routing, priority scoring, and safety checks in one workflow.

Implement a deterministic fallback policy for low confidence, timeouts, rate limits, and unavailable Jev service.

Build a minimal decision inspector that displays outcomes, probabilities, confidence, latency, and escalation or fallback reasons.

Create a uv-based Python evaluation runner that compares workflow versions on a fixed dataset and reports quality, coverage, latency, and request volume.

Execute a release gate that compares quality, automation coverage, latency, estimated cost, and fallback behavior against predefined production targets.