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notion-ios: the Plus & Notion AI purchase sheet, boards 16–18 #62
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148e2ce
notion-ios: the purchase sheet, monthly, yearly and the success alert
Jing-yilin db372b9
notion-ios: the purchase sheet measured to the captures, its art gene…
Jing-yilin 8b3845e
Merge remote-tracking branch 'origin/main' into notion-purchase-sheet
Jing-yilin 1fd86b1
notion-ios: the purchase sheet is boards 16–18, built by gen.py
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193 changes: 193 additions & 0 deletions
193
mockups/canvases/notion-ios/16-plan-plus-ai-monthly.html
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193 changes: 193 additions & 0 deletions
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mockups/canvases/notion-ios/17-plan-plus-ai-yearly.html
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,30 @@ | ||
| { | ||
| "_": "The two crops in assets/art/ redrawn by gpt-image-2 from a two-cell geometry-anchored grid on a white ground, keyed, fitted back to the same pt box and scored against the crop they came from. `runs` is that asset's mean delta in each of two independent returns, in `_runs` order; `delta` is the one that shipped, at 3x the measured box. Both are over artgen's 8.0 default: thin black line art on white scores worse than the filled characters duolingo-ios was tuned on, and the second return did not beat the first on either asset. Rebuild with tools/artgen.py.", | ||
| "_runs": [ | ||
| "white/high", | ||
| "white/high again" | ||
| ], | ||
| "_sup": 3, | ||
| "cat": { | ||
| "delta": 13.97, | ||
| "from": "white/high", | ||
| "scale": 0.91, | ||
| "dx": -1, | ||
| "dy": 8, | ||
| "runs": [ | ||
| 13.97, | ||
| 14.56 | ||
| ] | ||
| }, | ||
| "spark": { | ||
| "delta": 10.9, | ||
| "from": "white/high", | ||
| "scale": 0.9, | ||
| "dx": 3, | ||
| "dy": 2, | ||
| "runs": [ | ||
| 10.9, | ||
| 11.12 | ||
| ] | ||
| } | ||
| } |
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Fresh evidence in the current tree shows that
probes.jsonnow covers screens 16 and 18 but contains nomineentry for17-plan-plus-ai-yearly.pngand no probe againsts2.png; this row merely claims screen 16's probes apply. Consequentlyrefkit batchcan pass when the yearly-only left-card selection or yearly CTA drifts, so add probes against the second capture for the properties that differ.AGENTS.md reference: AGENTS.md:L50-L51
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