Derived Play: Backstage Leak Hunt
Derived play: productivity-visual / service-design QA game Asset type: public gallery image for GPT Image 2 derived-play research...
从 Data Poster Proof 派生出的数据 QA 玩法:观众对照 Lantern Library Week 的 toy data 表,找出 Wed 柱状图被画成 19 的一处 Lie,用 Fix 16 修复后得到 PASS 和 Score 4。

Use this as a reference for Chart Lie Detector, Chart Repair, Data QA, Derived Play workflows, prompt structure, visual constraints, and output review.
Create one polished public-gallery concept image titled exactly "Derived Play: Chart Lie Detector". Use case: infographic-diagram / derived play mechanic: chart-lie-detector Asset type: public GPT Image 2 derived-play gallery image, square 1:1 flat puzzle poster Primary request: Derive a playable data QA game from Data Poster Proof. Viewers compare a tiny fictional source table with a generated chart and must find the one deliberate chart error, repair it, and approve the corrected poster. The artwork must be a complete public puzzle poster, not a physical tabletop game, not a device, not a tray, not a lab bench, not a route map, not a comic, not a classroom worksheet, and not a dashboard-first UI. Scene/backdrop: a flat ivory puzzle poster for the same fictional "Lantern Library Week" toy dataset. Put the source table in the upper left with exact rows: "Mon 12", "Tue 18", "Wed 16", "Thu 24". Put a large bar chart in the center. The chart intentionally shows one coral wrong bar: Wednesday is mislabeled or drawn as 19. A repair overlay changes it back to "Wed 16". Include a compact score path along the bottom. Derived gameplay mechanism: players follow three short steps: compare the source table, spot the wrong chart value, patch the chart, then pass the proof. Show a magnifier icon, one coral "Lie" tag pointing at the wrong Wednesday bar, a teal "Fix 16" patch arrow, and a green "PASS" token after repair. Keep the chart, table, and correction marks clear enough that the game can be understood at a glance. Exact readable text to render: "Derived Play: Chart Lie Detector", "Lantern Library Week", "toy data", "Mon 12", "Tue 18", "Wed 16", "Thu 24", "Find 1 lie", "Compare", "Spot", "Fix 16", "Lie", "PASS", "Score 4". Do not add random placeholder text. Visual style: sophisticated public puzzle graphic, data-journalism meets casual game night, flat printed poster, crisp vector-like geometry, warm ivory canvas, graphite typography, teal bars, coral lie marker, amber guide arrows, moss green pass token, accessible contrast, sparse decorative details, precise alignment, lively but not childish. Avoid generic AI dramatic poster style and avoid UI dashboard panels. Safety and rights: fictional dataset and fictional game only. Use no real brands, no trademarks, no logos, no real organizations, no real people, no public figures, no politics, no elections, no medical/legal/financial advice, no dangerous instructions, no adult or explicit content, no gore or violence, no copyrighted characters, no living-artist style imitation, no source image reuse, no watermark.
Source note: Derived locally from Data Poster Proof after a fresh external source sweep. External sources informed only abstract patterns around prompt-gallery metadata, descriptive prompt structure, chart/infographic evaluation, data visualization clarity, and chart-clutter failure modes. No external prompt text, image, source image, real data, brand, character, artwork, or protected style was reused.
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