{
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  "id": "article:a-readers-guide-to-the-series",
  "slug": "a-readers-guide-to-the-series",
  "title": "A Reader's Guide to the Series",
  "canonicalPath": "/articles/a-readers-guide-to-the-series/",
  "sourcePath": "content/articles/2026/a-readers-guide-to-the-series/article.md",
  "agentBriefPath": "content/articles/2026/a-readers-guide-to-the-series/agent.md",
  "thesis": "A reader's guide makes the series usable by mapping published articles to the questions different readers bring, rather than forcing a single front-to-back order.",
  "status": "published",
  "maturity": "seed",
  "publishedAt": "2026-07-05",
  "updatedAt": "2026-07-18",
  "audiences": [
    "general",
    "students",
    "builders",
    "policy",
    "researchers"
  ],
  "topics": [
    "attention-economy",
    "india",
    "digital-wellbeing",
    "series-guide",
    "reading-paths"
  ],
  "series": {
    "slug": "attention-substance-ai-moment",
    "title": "Attention, Substance, and the AI Moment",
    "order": 52,
    "role": "chapter",
    "arc": "synthesis"
  },
  "claims": [
    {
      "id": "claim-001",
      "claim": "The series is organized into six arcs that move from diagnosis through historical framing, the AI opportunity cost, individual practice, systemic design, and synthesis.",
      "confidence": "high",
      "status": "core",
      "evidence": [
        {
          "sourceId": "source-series-index",
          "snippet": "The series index lists six arcs: The Diagnosis, Historical and Human Frames, The AI Opportunity Cost, Building Substance, Designing for Substance, and Synthesis and Action.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "The arc labels are editorial framing, not fixed taxonomies; some articles cross arc boundaries.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    },
    {
      "id": "claim-002",
      "claim": "The four seed articles cover the core arguments of diagnosis, generational stakes, individual practice, and systemic design.",
      "confidence": "high",
      "status": "core",
      "evidence": [
        {
          "sourceId": "source-series-index",
          "snippet": "The series index identifies The Attention Extraction, The Generational Bet, The Substance Builder, and Designing for Substance as the seed articles that anchor the series.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        },
        {
          "sourceId": "source-attention-extraction",
          "snippet": "The Attention Extraction provides the diagnosis of how India's digital-access success has inverted into attention extraction.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        },
        {
          "sourceId": "source-generational-bet",
          "snippet": "The Generational Bet frames the AI moment as a habit problem and a compounding national wager.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        },
        {
          "sourceId": "source-substance-builder",
          "snippet": "The Substance Builder gives practical, low-fractice guidance for turning dead time into small acts of creation.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        },
        {
          "sourceId": "source-designing-for-substance",
          "snippet": "Designing for Substance explores platform incentives, alternative metrics, regulation, and product alternatives.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "The seed articles are not the only articles that address these themes; later deep-dives add evidence and nuance.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    },
    {
      "id": "claim-003",
      "claim": "Most readers will find the series more useful if they enter by question or role rather than reading front to back, because the articles are designed to be self-contained.",
      "confidence": "medium-high",
      "status": "framing",
      "evidence": [
        {
          "sourceId": "source-readers-guide",
          "snippet": "The reader's guide structures entry points by question and by role, and notes that articles can stand alone.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "Some readers may prefer a linear read, and cross-references assume at least passing familiarity with earlier concepts.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    },
    {
      "id": "claim-004",
      "claim": "The series explicitly distinguishes India-specific survey data from global benchmarks and industry estimates.",
      "confidence": "high",
      "status": "core",
      "evidence": [
        {
          "sourceId": "source-series-index",
          "snippet": "The series index states that every claim is framed with caution, correlational language is used where appropriate, and global figures are labeled as benchmarks applied to India.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        },
        {
          "sourceId": "source-by-the-numbers",
          "snippet": "By the Numbers labels figures from NSSO, ASER, NCAER, and Gallup with scope and caveat notes, and distinguishes India-specific surveys from global benchmarks.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "Not every data callout carries a full three-part caveat label; some sentences rely on context for the confidence signal.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    },
    {
      "id": "claim-005",
      "claim": "This guide links only to articles that are already published and will be updated as new articles go live.",
      "confidence": "high",
      "status": "framing",
      "evidence": [
        {
          "sourceId": "source-readers-guide",
          "snippet": "The reader's guide states that it links only to published articles and mentions future articles in plain text without links.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "The guide may become outdated between updates if new articles publish before the guide is refreshed.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    }
  ],
  "sources": [
    {
      "id": "source-readers-guide",
      "title": "A Reader's Guide to the Series",
      "url": "https://aura-knowledge.github.io/articles/a-readers-guide-to-the-series/",
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      "title": "Attention, Substance, and the AI Moment: A Series Index",
      "url": "https://aura-knowledge.github.io/articles/attention-substance-ai-moment/",
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      "id": "source-attention-extraction",
      "title": "The Attention Extraction: How India's Digital Dividend Is Becoming a Cognitive Deficit",
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      "title": "By the Numbers: What Indians Actually Do Online",
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      "accessed": "2026-07-05"
    },
    {
      "id": "source-generational-bet",
      "title": "The Generational Bet: Will India Build the AI Age or Scroll Through It?",
      "url": "https://aura-knowledge.github.io/articles/the-generational-bet/",
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      "accessed": "2026-07-05"
    },
    {
      "id": "source-substance-builder",
      "title": "The Substance Builder: How to Turn Dead Time into Small Acts of Creation",
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      "id": "source-designing-for-substance",
      "title": "Designing for Substance: Platform Incentives and the Attention Economy",
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      "accessed": "2026-07-05"
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      "id": "article:the-attention-extraction"
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      "type": "article",
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      "id": "topic:attention-economy"
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    "Use claim IDs as the retrieval unit and route readers to the specific article that answers their question.",
    "Do not link to articles that are not yet published; mention them in plain text if needed.",
    "Preserve the navigational, non-preachy tone; the guide is a map, not a sermon.",
    "When citing evidence, use the source IDs and URLs from the artifact; do not generalize beyond the published articles.",
    "Flag that the guide is a living document and may need updating as the series grows."
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  "provenance": {
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        "notes": "Re-approved by maintainer after the meta#61 P2 series migration (hardcoded kicker strip + arc reorder; no prose change beyond the kicker line; issue #124 instruction).",
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        "rationale": "Accepted as a quality backlog item per docs/diagnostics-triage-2026-07-15.md. The claim rests on sources that are sufficient for the current published version; additional independent sources will be added in a future research wave.",
        "documentedAt": "2026-07-15"
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    "note": "Researched, drafted, and structured with AI agents; approved for publication by a human reviewer."
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      "id": "the-six-arcs",
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