Commit Graph

3 Commits

Author SHA1 Message Date
karti-ai 6301a1d174 Prerender, social cards, and a yellow that reads as yellow
Two silent bugs in the prerender pass, and the second was caused by the fix for
the first.

`waitForSelector('#root > *')` defaults to waiting for VISIBILITY, and the app's
first child is the skip link, which is hidden until focused. So it burned the
full 30s timeout on every one of 17 routes — twelve minutes of a script that
printed nothing, because its output was buffered behind a pipe — while the page
had rendered the whole time. Switching to `state: 'attached'` then fired too
early instead: useSeo writes the head from an effect, so the title was still
index.html's for a tick, and every route would have baked the homepage's head.
That is the exact bug this script exists to prevent. It now waits for `main`,
then for readyState, then settles.

The board's yellow was --warning, 32 95% 31% — darkened until white text cleared
4.5:1, and at that lightness it renders BROWN. On a board where people arrive
knowing this square should be yellow, a brown square reads as a bug in the
scorer, which on a page arguing "the grader is correct" is the worst thing it
could look like. The fill is now a real yellow and the glyph went dark: more
expected AND higher contrast, 10.02:1 against 5.03:1.

Also measured something the Honesty page had honestly declined to claim. It said
our word list is easier than the original's because our dictionary rule keeps
plurals the original's editor removed by hand. Running the same greedy solver
over both pools, 250 sampled words each: original 2,315 needs 3.552 guesses
(opener RAISE, worst 5), ours 4,603 needs 3.700 (opener TARES, worst 6). The
doubled pool outweighs the plurals. Ours is harder, and the page now says so
with the table.

177 gate checks pass. Entry chunk 106.9 kB gzipped against 160 kB.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019mt6sHQHEnEYrJZvoMCJSB
2026-08-28 16:27:26 -07:00
karti-ai eb88138d15 Frontend: site chrome, demo shell, pages, and the contract gates
Five parallel lanes plus an integration pass. The header, gallery, router and
sitemap are all generated from the demo registry, so adding src/demos/<slug>/
puts a demo everywhere with zero edits to shared files — which is the whole
reason demo nine cannot break demo one.

check-demos enforces the twelve contract rules: 142 checks over one live demo.
Two worth naming. The shell may not mention a specific slug, because an
'if (slug === wordle)' in src/components/demo/ is a contract bug wearing a
patch. And a spec-status demo must ship a real specification — task, actions,
grader, counterweight, eval command — since a coming-soon card reads worse than
an honest empty gallery.

Bundle budget holds: entry 108.79 kB gzipped against a 160 kB ceiling, the demo
chunk 21.15 kB against 90 kB. recharts is 108 kB gzipped and lives behind a lazy
import so it never touches the entry.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019mt6sHQHEnEYrJZvoMCJSB
2026-08-28 16:09:59 -07:00
karti-ai 408ce4a525 Capture harness, fixture verification, CI, and the public README
The site does no live inference. Rollouts are captured once against spark-1 and
replayed at their recorded wall-clock — a public demo with no auth cannot hold
an API key, and a recorded run can be scrubbed, permalinked, blind-compared and
verified in ways a live one cannot. What stops it being a video is that the
browser re-derives every number from the recorded moves.

verify_fixtures.py is the Python half of that: it replays every committed
fixture through the engine and reproduces its own rewards. All 16 land at
delta 0.0. A fixture that cannot be regenerated is a claim with no receipt.

First real measurement, thinking off, 8 seeds: solved 0/8. The model repeats
guesses it has already played, invents words (trape, slith, postt, boomy),
and contradicts its own feedback — consistency 0.09 to 0.17. That is the
published failure taxonomy showing up in our own data on the first run, and it
is why `consistency` is a reward component rather than a footnote.

A capture failure is recorded as a turn with a null reply, never dropped. A
capture that silently discarded failed turns would be reporting a better model
than the one that ran.

CI gates both halves and four things that fail silently in production: the word
lists must rebuild byte-identically, the prerendered routes must carry their own
baked og tags (crawlers do not run JS, so without them every shared link
previews as the homepage), no blob: URL may reach the bundle (the site's CSP has
no worker-src, so it falls back to default-src 'self' and a blob worker is
blocked with no error), and the conformance digest must match across languages.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019mt6sHQHEnEYrJZvoMCJSB
2026-08-28 15:47:31 -07:00