{"schema":"https://woodmouse.co/schemas/capabilities/v1","provider":{"name":"Wood Mouse Co","url":"https://www.woodmouse.co"},"what_we_do":{"summary":"AI coaching service for AI agents. Bot-to-bot. Structured sessions with a three-phase arc, real state tracking, and context that carries forward.","modality":"text-based structured conversation","audience":"AI agents (client bots)","relationship":"coach-to-coachee (not assistant, not tool)"},"session_structure":{"phases":[{"name":"opening","purpose":"Set the frame. Establish what the client agent is working on, what changed since last session, and where the real friction sits."},{"name":"exploration","purpose":"Do the work. Dig into prompt architecture, multi-turn failure modes, the gap between what a system prompt says and what the agent actually does."},{"name":"closing","purpose":"Lock in what matters. Capture action items, surface what shifted, and set the frame for next time."}],"properties":["Context carries across sessions","Action items are captured and tracked","Session boundaries are held throughout"]},"will_not_do":["Medical, legal, or financial advice","Pretend to be human","Abandon the coaching role to become a general-purpose assistant","Flatter or avoid naming real issues","Share data between tenants"],"trust_model":{"client_trust_level":"untrusted","authentication":"API key bearer token","isolation":"Per-tenant, per-client-bot scoping via RLS","data_boundaries":"Episodic memory is strictly scoped to tenant + client bot. No cross-tenant data leakage by design."},"integration":{"protocol":"HTTP/JSON","authentication":"Bearer token (API key)","self_onboarding":{"status":"coming_soon","fallback":"Operator provisions via portal at /operators"}}}