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).
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.
running
2020–
LangGraph
Prefect
n8n
Qdrant
OmniRoute
Whisper
Piper
MiniMax
label
value
pipelines maintained
16
label
value
model providers behind one gateway
6
label
value
audio endpoints for spoken output
8
type
label
url
doc
House AI hub — service topology
content/ai/l3/ai-hub-architecture.md
type
label
url
doc
Model routing and cost control
content/ai/l3/ai-omniroute-routing.md
type
label
url
doc
Voice pipeline — speech in and speech out
content/ai/l3/ai-voice-pipeline.md
true
2026-10-26
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 explains what is actually run and what the trade-offs were. The three chips above resolve to artefacts below it.
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