{
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  "title": "Innovation, Made Visible",
  "thesis": "Deterministic innovation wins because repeatable improvement creates more durable enterprise value than novelty without control.",
  "abstract": "Tony Malott's public argument for finding recurring friction close to the work, testing the smallest responsible intervention, preserving evidence, and turning learning into reusable enterprise capability.",
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  "date": "2026-07-27",
  "dateLabel": "Source dated",
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  "updated": "2026-07-27",
  "sourceDates": {
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    "updated": "2026-07-27"
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  "posture": "Tony-authored public-safe reconstruction from an original article and a governed internal visual reference; this public artifact does not expose, copy, or promote the internal candidate.",
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  "schema": "shareplane.portable-work.v1",
  "author": {
    "name": "Tony Malott",
    "url": "https://malott.ai/"
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      "label": "AI-assisted improvement still requires accountable controls",
      "explanation": "The method treats AI assistance as bounded support inside a human-owned operating change, not as authority in itself."
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