5-layer morning briefing system:
1. Contract scan: sorts by urgency, shows requirements
2. Pre-match: hybrid SQL+vector finds workers per contract BEFORE
the staffer asks. 25/25 positions pre-matched (100%)
3. Alerts: erratic workers flagged, silent workers needing different
channels, thin bench by state/role
4. Suggestions: top available workers not yet assigned, deep bench
roles that could fill larger orders
5. Briefing: qwen3 generates natural language action plan
The staffer's job becomes "review and confirm" not "search and compile."
Action queue: 6 contracts ready for one-click outreach.
Outputs structured JSON at /tmp/copilot_briefing.json — any UI
(Dioxus, React, even a Telegram bot) can render this.
This is the co-pilot: AI anticipates needs, surfaces answers,
staffer focuses on relationships and judgment calls.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
