angel291592/Intent-Router

Intent compiler for AI agents — converges vague requests into typed IntentSpec contracts (probe, ask, or halt before routing), the input layer for routers and typed-decision models like Jev & Laya

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English | 简体中文 An intent compiler for AI agents. Turns a vague request into a typed IntentSpec: it looks up what it can, asks only what it can't, calls out a request that contradicts itself, admits two readings, or rests on a premise your own repo already disproves, and refuses to emit while the intent is still underspecified. When the work gets handed off and carried out, it checks the result against the spec it wrote — one constraint at a time, not a vibe check. What that buys you: engineering — the gap between the top 1% of prompt writers and everyone else stops deciding what you get back. Say it the way you'd say it to a capable teammate, "add caching to the user API", and the skill writes the briefing a senior engineer would have written first. You stop coaxing the model and start putting it to…

angel291592/Intent-Router on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-09-28T12:40:01.134Z

Inside the original README — Document outline
  1. Intent-Router
  2. What "installed" changes, in the diff itself
  3. Contents
  4. How it compares
  5. What your harness already does — and what this adds
  6. The problem
  7. How it works
  8. The four decision states
  9. Two walkthroughs
  10. A. In a codebase — "add caching to the user API"
  11. B. In a support queue — "this customer is furious — sort it out"
  12. The artifact

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What this repository does

Intent compiler for AI agents — converges vague requests into typed IntentSpec contracts (probe, ask, or halt before routing), the input layer for routers and typed-decision models like Jev & Laya

Repository facts

Owner
angel291592
Primary language
Python
Stars
208
Forks
24
Open issues + pull requests
2
License
MIT
Archived
No
Default branch
main
Created
2026-09-22T06:00:27.000Z
Last push
2026-09-27T10:05:00.000Z

Topics and intended use

Owner-supplied topics: agent-skills, agentic, ai-agents, clarification, claude-code, codex, context-engineering, decision-model, intent, llm-routing, prompt-engineering, skill, system-one, typed-decisions

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Source: GitHub. Metadata observed 2026-09-28T12:04:05.369Z. Daily imports are snapshots, not real-time monitoring.

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