docs: refresh demo GIF with a real cognit-generated quiz (high-res) - #21
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The old demo used a hand-authored stand-in quiz. This replaces it with a quiz cognit actually generated — captured by running the live engine against a real PR (#20, the retry-with-backoff change) — so the GIF shows genuine, model-authored questions, including a true before/after mermaid flow comparison of the retry exception path. - `scripts/capture_demo_quiz.py`: runs the real generation engine against a PR and records the generated quiz + activity feed into `scripts/demo_data/`. - `scripts/record_demo.py`: replays the captured quiz and feed. The Playwright driver is now data-driven — it computes and clicks the correct answer for each question from the quiz itself, so it adapts to whatever mix/order the model produced (no hard-coded option indices). Recording is higher resolution: Playwright records at the CSS-viewport resolution (device_scale_factor and an oversized record size don't add pixels), so the viewport is bumped to 1440x900 and the GIF is emitted 1:1 at 1440px, 16fps — no downscale softening. - `scripts/demo_data/{quiz.json,feed.json}`: the captured artifacts, so the demo stays offline and deterministic on re-record while the content is genuine. - README alt-text updated to match (five questions: three MCQ, a mermaid-pick flow diagram, true/false). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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What
Replaces the README demo GIF. The old one played a hand-authored stand-in quiz; this one plays a quiz cognit actually generated — captured by running the live engine against a real PR (#20, the retry-with-backoff change). So the GIF now shows genuine, model-authored questions, including a real before/after mermaid flow comparison of the retry exception path (pick the flowchart that matches
_draft_with_retry; the distractors vary the branch condition and the notify/sleep order).The content is real; playback stays offline and deterministic.
How
scripts/capture_demo_quiz.py(new) — runs the real generation engine (ClaudeAgentLLM→ theclaudebinary) against a PR and records the generated quiz + activity feed intoscripts/demo_data/.scripts/record_demo.py— replays the captured quiz/feed. The Playwright driver is now data-driven: it computes and clicks the correct answer for each question from the quiz itself, so it adapts to whatever question mix/order the model produced (no hard-coded option indices).device_scale_factorand an oversized record size don't add pixels — they pad). So the viewport is bumped to 1440×900 and the GIF is emitted 1:1 at 1440px / 16fps, no downscale softening (was a 1000px downscale).scripts/demo_data/{quiz.json,feed.json}(new) — the captured artifacts, committed so re-recording after a UI change needs no Claude call.Note
Depends on nothing in #20 at runtime — the captured quiz is static JSON — but the questions are about #20's diff, so the two read best together.
🤖 Generated with Claude Code