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    "scoredAt": "2026-05-02 11:25:49.558+00",
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      "closing_strength": "Could not evaluate — closing slides unavailable; brief content was inaccessible.",
      "evidence_quality": "Could not evaluate — claim/evidence pairs unavailable; brief content was inaccessible.",
      "clarity_of_thesis": "Could not evaluate — brief.json was unreadable in this session (single-line briefText is ~100k tokens, exceeding the Read tool's 25k-token cap, and Bash/Grep access to /var/folders/.../claude-LESulk/ is blocked by the sandbox).",
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    "verdict": "This is a strong AI research compendium with unusually good metric-led action titles, but only a moderate Storymakers exemplar because its SCQA arc never fully resolves into a recommendation.",
    "reviewedAt": "2026-05-01 21:39:19.741+00",
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      "Refactor the eight outline themes into MECE pillars with explicit jobs: why now, adoption proof, infrastructure/cost economics, monetization winners, strategic threats, physical-world expansion, global reach, workforce implications.",
      "Replace the final summary with a resolution slide that states implications and actions for the intended audience, then use the current slides 338-339 as supporting close or appendix synthesis.",
      "Convert generic divider titles into mini-theses, for example changing 'AI = Benefits & Risks' into the specific tension the following slides prove."
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      "The title system is unusually data-rich for a long report, with many slide titles carrying the finding, benchmark, and source in one line, as on slides 21, 316, and 333.",
      "Repeated outline and divider pages keep a 340-slide research deck navigable, especially around major shifts such as slide 250 on monetization threats and slide 325 on work evolution."
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      "Several section and bridge titles are generic or repetitive, so the reader sometimes sees the category before the implication, for example 'Outline,' 'Overview,' and repeated 'AI Monetization Possibilities' dividers."
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    "closingCritique": "Excluding the legal disclaimer on slide 340, the last 5 slides close with Apple hiring evidence, labor productivity precedent, a Jensen Huang quote, and summary slides 338-339. The close is memorable in tone ('gametime for AI') but lacks explicit next steps, investment implications, or a call to action.",
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