agent-experience
Use to DESIGN or REVIEW software, docs, SDKs, and repos so AI agents can consume them as a first-class audience — agent experience (AX), the agent-facing analog of UX and DX. Covers agent-readable docs (llms.txt, AGENTS.md, MCP and tool descriptions, RAG-friendly structure), AI and Agent SDK design (streaming, tools, structured output, agent loops, tracing), repo agent-readiness review, and human-versus-agent audience conflicts. The umbrella AX discipline — it routes to agent-readiness to HARDEN a repo, agent-rules to PROMOTE observed failures into rules, and agent-evals to INSTRUMENT an AI product's eval loops. Triggers on 'make our app agent-friendly', 'review our llms.txt for agents', 'design an Agent SDK', 'is this AGENTS.md agent-ready', 'AX review'. Do NOT use for human developer experience (use dx-audit or dx-design), end-user UX (use ux-audit), or to actually scaffold a repo's gates and hooks (use agent-readiness).
Ecosystem Scores - What Happened to it
PROTOCOL WARRANT
This score reflects origin + ecosystem signals. It is not a code audit.
Agent Lineage Map
Spatial graph · creator origin → derivative agents
