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

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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).
This commit is contained in:
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2026-10-26 17:30:15 +11:00
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---
id: ai-overview
area: ai
level: 1
title: "AI & Agentic Systems"
claim: "Builds and operates sixteen or more AI pipelines — agent harnesses · model routing and cost control · retrieval over a tagged corpus · and a voice front-end that runs a house."
confidence: running
period: "2020–"
tech: [LangGraph, Prefect, n8n, Qdrant, OmniRoute, Whisper, Piper, MiniMax]
metrics: [{label: "pipelines maintained", value: 16}, {label: "model providers behind one gateway", value: 6}, {label: "audio endpoints for spoken output", value: 8}]
artefacts: [{type: doc, label: "House AI hub — service topology", url: "content/ai/l3/ai-hub-architecture.md"}, {type: doc, label: "Model routing and cost control", url: "content/ai/l3/ai-omniroute-routing.md"}, {type: doc, label: "Voice pipeline — speech in and speech out", url: "content/ai/l3/ai-voice-pipeline.md"}]
public: true
last_verified: 2026-10-26
tags: [ai, agents, routing, retrieval, voice]
---
# AI & Agentic Systems
**Claim.** Sixteen or more AI pipelines are maintained in production — ten or more on n8n, Prefect and LangGraph, six on Paperclip — with one gateway in front of six model providers, retrieval over a metadata-tagged corpus, and a voice front-end that controls the house.
**Status.** Running. Every figure on this page traces to the evidence notes; the verification date is 2026-10-26.
**Why it reads as engineering rather than enthusiasm.** The pipelines run against real obligations — school portals, calendars, email, household audio — and they are operated: routed for cost, guarded before they act, and observed while they run.
**Start here.** [The capability page](ai-systems.md) explains what is actually run and what the trade-offs were. The three chips above resolve to artefacts below it.