diff --git a/CLAUDE.md b/CLAUDE.md
index 8e1b4e5..a0ad2b7 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -47,31 +47,28 @@
 
 ## MCP endpoints
 
-Two MCP servers expose this project's tooling, both reachable over Tailscale:
+Two MCP servers are live, both reachable over Tailscale and via HTTPS domain:
 
-- **`brain`** at `http://koala:30330/mcp` — preferred path for `brain_query`,
-  `brain_write`, `brain_ingest`, `brain_ingest_raw`, and `session_log`. Hosted
-  by the ingestion service directly.
-- **`supervisor`** at `http://koala:30320/mcp` — skill workers (`tdd_red`,
-  `tdd_green`, `tdd_refactor`, `review`, `debug`, `spec`, `retrospective`,
-  `trainer`, `tier`). Will shrink as skill workers move to SKILL.md in a later
-  migration.
+- **`brain`** at `https://brain-mcp.d-ma.be/mcp` (NodePort `koala:30330`) —
+  `brain_query`, `brain_write`, `brain_ingest`, `brain_ingest_raw`,
+  `brain_answer`, `brain_classify`, `session_log`. Hosted by the ingestion
+  service. Auth: Dex JWT (claude.ai OAuth) or static `BRAIN_MCP_TOKEN`.
 - **`routing`** at `http://koala:30310/mcp` — Mode 2 routing pod. Advertises
-  the same four cost-routable skills as the supervisor (`review`, `debug`,
-  `retrospective`, `trainer`) but per-call decides whether to use a local
-  model or Claude based on the brain's `/pass-rate` response. Bearer auth
-  via `ROUTING_MCP_TOKEN` (opt-in). Only `mode client-local` registers this
-  endpoint; Mode 1 and Mode 3 do not.
+  `review`, `debug`, `retrospective`, `trainer`; per-call routes to local model
+  or Claude based on brain `/pass-rate`. Bearer auth via `ROUTING_MCP_TOKEN`
+  (opt-in). Only `mode client-local` registers this endpoint.
+
+The supervisor MCP (`koala:30320`) was retired in Plan 7 (2026-05-12). Its
+skill workers (`tdd`, `spec`) are now SKILL.md files; routed skills moved to
+the routing pod; brain tools moved to the brain MCP.
 
 The brain HTTP REST API (`/query`, `/write`, `/ingest`, `/ingest-raw`,
-`/ingest-path`, `/backfill-refs`) remains available on the same port (3300) for
-shell scripts and non-MCP clients.
+`/ingest-path`, `/backfill-refs`, `/pass-rate`) remains available on port 3300
+for shell scripts and non-MCP clients.
 
-The brain HTTP REST API also serves a read-only `GET /pass-rate?skill=X&window=Y`
-endpoint that aggregates `final_status` counts from session logs and returns
-`{skill, window, pass, fail, skip, total, pass_rate}`. Plan 6 (routing pod)
-reads this to decide whether to route skill calls to local models. Pass rate
-is `null` when no logged invocations are in the window.
+`brain_answer(query)` performs BM25 retrieval + LLM synthesis (berget.ai
+gemma4:31b → iguana fallback). `brain_classify(text)` infers doc type, title,
+and tags. Both require `BRAIN_LLM_PRIMARY_URL` to be set in the ingestion pod.
 
 ## Agent instructions
 
diff --git a/DECISIONS.md b/DECISIONS.md
index 1f731b7..f939898 100644
--- a/DECISIONS.md
+++ b/DECISIONS.md
@@ -72,23 +72,42 @@ Record *why* things are the way they are. Future-you will thank present-you.
 Plan 6 (Mode 2 routing pod, 2026-05-04) introduces a second consumer of
 the four cost-routable skill packages. The routing pod constructs each
 skill via `<pkg>.New(Config{...})` and hands it `routing.Router.Run` as
-the `CompleteFunc`. Plan 7 (supervisor retirement) MUST NOT delete the
-four packages.
+the `CompleteFunc`.
 
-**Plan 7's allowed deletions:**
-- `internal/skills/{tdd,spec,tier}/` (not consumed by the routing pod)
-- `cmd/supervisor/` (binary)
-- `Dockerfile` (supervisor's, at repo root — distinct from `Dockerfile.routing`)
-- supervisor manifests in the infra repo
-- NodePort `:30320`
-
-**Plan 7's preserved code:**
+**Preserved code (do not delete):**
 - `internal/skills/{review,debug,retrospective,trainer}/`
-- `internal/registry`
-- `internal/mcp`
-- `internal/exec/litellm.go`
-- `internal/routing/` (entirely new in Plan 6)
-- `cmd/routing/`
+- `internal/registry`, `internal/mcp`, `internal/exec/litellm.go`
+- `internal/routing/`, `cmd/routing/`
+
+---
+
+## Plan 7: supervisor pod retired (2026-05-12)
+
+**What was deleted:** `cmd/supervisor/`, `internal/skills/{tdd,spec}/`,
+root `Dockerfile`, supervisor k8s manifests (Deployment, Service, Ingress,
+NodePort 30320), `supervisor` entry removed from all `.mcp.json` configs.
+
+**Coverage:** `tdd`/`spec` → SKILL.md files in `~/dev/.skills/`; `review`,
+`debug`, `retrospective`, `trainer` → routing pod; `brain_*`/`session_log` →
+brain MCP; `tier` → `hyperguild tier` CLI.
+
+---
+
+## 2026-05-12 — brain_answer and brain_classify: LLM routing via berget.ai → iguana
+
+**Context:** Brain MCP returned raw BM25 excerpts with no synthesis. Adding
+LLM-backed tools enables Q&A and ingestion enrichment without a separate service.
+
+**Decision:** Two new MCP tools in the ingestion service (`ingestion/internal/mcp/`):
+- `brain_answer(query)` — BM25 top-10 → LLM synthesis → answer + sources
+- `brain_classify(text)` — LLM classifies doc into type/title/tags
+
+Primary LLM: berget.ai `gemma4:31b` (EU cloud, spend tokens while available).
+Fallback: iguana `gemma4:31b` (local Ollama). Reranker deferred to follow-up.
+Router lives in `ingestion/internal/llm.Router`; opt-in via `BRAIN_LLM_PRIMARY_URL`.
+
+**Consequences:** Brain becomes a knowledge assistant, not just a search index.
+When berget.ai tokens run out, flip `BRAIN_LLM_PRIMARY_URL` to iguana.
 
 ---