Demo an AI agent that processes government service applications with human oversight
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Government case-intake demo: an agentic AI processes incoming service
applications end-to-end with a human checkpoint. Built for a 2-3 minute
screen recording.
Open http://localhost:5173. No API key required - the demo runs on
deterministic canned outputs out of the box (badge shows LLM FALLBACK).
Set ANTHROPIC_API_KEY in .env for live Claude classification,
extraction and drafting (badge shows LLM LIVE).Read the full README ↗Government case-intake demo: an agentic AI processes incoming service applications end-to-end with a human checkpoint. Built for a 2-3 minute screen recording.
npm install
npm run dev
Open http://localhost:5173. No API key required - the demo runs on
deterministic canned outputs out of the box (badge shows LLM FALLBACK).
Set ANTHROPIC_API_KEY in .env for live Claude classification,
extraction and drafting (badge shows LLM LIVE).
Three modes, via AGENT_LLM_MODE and AGENT_LLM_BUDGET:
live (default): calls Claude. AGENT_LLM_BUDGET caps live calls per
server instance (default 60, ~30 full runs) - bounds spend even if the
public URL leaks.replay: never calls the API. Serves seed/live-cache.json - real
Claude outputs captured once with npm run capture, committed to the
repo. Badge shows LLM REPLAY. Misses fall back to canned data.The public deployment is configured with AGENT_LLM_MODE=replay.