Phase 1: content source of truth — 40 documents across six areas

Satisfies the Phase 1 Definition of Done:

- content/ validates cleanly against the frozen schema. `make validate`
  reports OK: 40 document(s) validated, 0 violations.
- Six areas exist, each with an L1 entry: ai-overview, platform-overview,
  edge-overview, products-overview, history-overview, about-overview.
- All six areas have an L2 entry: ai-systems, platform-estate, edge-fleet,
  products-business, history-engagements, about-narrative.
- 28 L3 artefact stubs under content/<area>/l3/. Every artefacts[].url in
  every document resolves to one of them; the validator proves there are no
  dangling references (and a deliberately broken copy exits 1).
- Every metric value traces to a source line in the evidence notes or the
  approved metric set in reference/content-map.md (per-metric citations are
  recorded in the AUD-131 completion comment).
- Every document carries confidence and last_verified=2026-10-26; the
  validator rejects a missing or non-canonical value.
- docs/content-redaction.md records the redaction pass: identifiers, third
  party personal data, credentials and infrastructure detail excluded, with
  reasons, plus the two numbers that are reported rather than smoothed.

Honesty positions held: 3 businesses active (12 adoptions over time),
Where-Woof deployed and pre-market, failures kept in (edge-failures), no
promotion of in-progress work to delivered.

No site code, no templates, no CSS, no rendering (Phase 2).

content/ai/l3/ai-voice-pipeline.md

@@ -0,0 +1,31 @@
+---
+id: ai-voice-pipeline
+area: ai
+level: 3
+title: "Artefact — Voice pipeline · speech in and speech out"
+claim: "Speech in on a custom wake word · local transcription · a cloned voice out · and music ducked under every announcement across eight endpoints."
+confidence: running
+period: "2020–"
+tech: [Whisper, Piper, MiniMax, ESP32, Snapcast, Mopidy, Home Assistant]
+metrics: [{label: "audio endpoints", value: 8}]
+artefacts: []
+public: true
+last_verified: 2026-10-26
+tags: [ai, voice, audio, artefact]
+---
+
+# Artefact — Voice pipeline · speech in and speech out
+
+**Status: stub.** A short recording of music ducking under a spoken announcement lands in the optional voice phase. Text describes the chain until then.
+
+## What the artefact is
+
+The chain: an ESP32 device with a microphone detects the wake word and confirms with an LED, audio is transcribed locally with Whisper, the request goes through the gateway, and the reply is spoken through Piper or the MiniMax cloned voice over all eight Snapcast endpoints, with music lowered for the announcement and restored afterwards.
+
+## What it proves
+
+Voice treated as a system front-end with latency and reliability requirements — not a party trick bolted onto a chatbot.
+
+## When it is delivered
+
+Recording in the optional voice phase (Phase 7). The endpoint count and the ducking behaviour are from the evidence notes, sections 1 and 2.