# AI Design Blueprint — GitHub Copilot Instructions

Use AI Design Blueprint doctrine whenever working on AI-native features, agentic workflows, coding agents, approval flows, or model-driven product behavior.

## Rules

- Do not introduce autonomous execution for destructive or externally visible actions without explicit approval or a bounded autonomy model.
- Show meaningful runtime progress for long-running model or agent tasks.
- Prefer structured outputs, typed payloads, and inspectable states.
- Include fallback paths for model failure or low-confidence outputs.
- Preserve reversibility when state changes occur.
- Be explicit about agent permissions and boundaries.
- Optimize for production readiness, governance, and trust.

## Setup

- Save this file as `.github/copilot-instructions.md`.
- Add `AGENTS.md` if you also want the same doctrine available to other repo-aware tools.
- Use the MCP endpoint as an optional live lookup layer, not as the only integration path.

## Public MCP tools worth using

- `list_principles(cluster?)`
- `list_clusters()`
- `get_principle(slug)`
- `get_cluster(slug)`
- `get_example(slug)`
- `search_principles(query, limit?)`
- `search_examples(query, principle_ids?, difficulty?, library?, limit?)`
- `list_agent_assets()`