Files
ai-resume/content/ai/ai-overview.md
Documenter 286aa12bb0 site: cut the template's own labels out of the pages
Point 7 of the page-wording review. The pages no longer show their data
structure as headings, and they no longer explain their own conventions.

- Level 1 is one screen: claim, status badge, three figures, the technology
  row, and one sentence carrying one link. Measured in headless Chrome at
  1440x900: 1404-1845 px tall before, exactly 900 px (no scroll) after, on
  all six area pages.
- DocPage: no kicker line, no visible level label, no "Evidence for this
  page" heading or instruction note, no "Drill-downs" list, no
  "Status <word> - sentence" footer. The artefact table starts at level 2,
  under the heading "Artefacts"; the history timeline is level 2 only.
- Landing page: "Start here" link text gone, "How to read this site" panel
  gone, the footer's status-label explainer gone.
- Content, presentation only, no claim softened: the leading H1 that
  duplicated the page title removed from all 41 documents; level 1 bodies
  reduced to the constraint as ordinary prose plus the way in;
  "**Status: ...**" prefixes removed from the artefact stubs; "## Drill-downs"
  and "## Period and confidence" removed from the level 2 pages, with the
  cross-area links moved into the prose.
- The six level 1 claims are now sentences with a subject, and use commas
  instead of middots. Same facts, no new ones.

Not in this commit: the 35 level 2 and 3 claims still use the compact CV
style. That is a voice decision for Sam, not a wording tidy-up.

make validate: 41 documents, 0 violations. go test ./...: pass.

(cherry picked from commit 03009f80fc7815ad7719412e125df9297a6e653f)
2026-10-28 15:55:33 +11:00

1.2 KiB
Raw Blame History

id, area, level, title, claim, confidence, period, tech, metrics, artefacts, public, last_verified, tags
id area level title claim confidence period tech metrics artefacts public last_verified tags
ai-overview ai 1 AI & Agentic Systems Sam 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

The pipelines run against real obligations — school portals, calendars, email, household audio — and they are operated rather than demonstrated. What actually runs, and what it cost to get there, is on the capability page.