{
 "@context": "https://schema.org",
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 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7444",
 "identifier": "kaal:position:2026-07-31-7444",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Ai Based Intelligent Agent 1Fb2Da2E28",
 "text": "AI-BASED INTELLIGENT AGENT presents the following source proposition: These agents are integral to a wide array of applications, from self-driving cars and robotics to healthcare, finance, and customer service. This proposition is pertinent to Kaal's source-bound claim that The combined total addressable market of the industries disrupted by AI, counting healthcare, finance, retail, manufacturing, logistics, transportation, and customer service, is likely in the hundreds of trillions of dollars. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "extension",
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  "ai-and-agents",
  "innovation",
  "historical-response",
  "scholarly-literature",
  "crossref"
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 "scope_conditions": [
  "The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.",
  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.3647.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "AI-BASED INTELLIGENT AGENT",
  "url": "https://doi.org/10.58532/nbennurgodpsw4"
 },
 "extends": {
  "identifier": "kaal:claim:4755632-004",
  "url": "https://wulfkaal.github.io/claims/4755632-004",
  "citation": "Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632",
  "paper": "Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2024",
  "ssrn": "https://ssrn.com/abstract=4755632",
  "source_pdf_sha256": "972ccebf0c06ac1767a9e443bb95942b7670e806a63c25ee817c368a64c8eca8"
 },
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   "@id": "https://wulfkaal.github.io/claims/4755632-004"
  },
  {
   "@type": "CreativeWork",
   "name": "AI-BASED INTELLIGENT AGENT",
   "url": "https://doi.org/10.58532/nbennurgodpsw4"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0009",
 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-7444",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7444.md",
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 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
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 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: agents, healthcare, finance, customer, service. Scope: figures are approximate and subject to market dynamics and technological change.",
 "sourceProvenance": {
  "source": "crossref",
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  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
  "canonicalUrl": "https://doi.org/10.58532/nbennurgodpsw4",
  "doi": "10.58532/nbennurgodpsw4",
  "externalIds": {
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  "chunkId": "crossref-00002",
  "workId": "work:doi:10.58532/nbennurgodpsw4",
  "workAuthors": [
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   "Kamaljeet Singh Kalsi"
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  "workPublishedAt": "2025-07-25",
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    "claimUrl": "https://wulfkaal.github.io/claims/4755632-004",
    "rank": 1,
    "confidence": 0.3647,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: agents, healthcare, finance, customer, service. Scope: figures are approximate and subject to market dynamics and technological change.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:4755632-005",
    "claimUrl": "https://wulfkaal.github.io/claims/4755632-005",
    "rank": 2,
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: healthcare, finance, customer, service. Scope: applies to industries seeking to realize AI driven market potential.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:4941807-009",
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    "confidence": 0.2893,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: agents, self, driving, cars. Scope: in deep learning systems deployed in driving and medical prediction.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:6244278-033",
    "claimUrl": "https://wulfkaal.github.io/claims/6244278-033",
    "rank": 4,
    "confidence": 0.2162,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: agent, healthcare, finance. Scope: based on comparative analysis of centralized versus reputation-weighted consensus systems; stated as a potential rather than realized reduction.",
    "ambiguous": true
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 "userAffirmation": "I affirm batch kaal-review:2026-07-31:streaming-etl-0009, SHA-256 b79e655db33b69d4e6de8a205792c1e02d068eea4880d69cd6faeb884041abdf, as written and authorize publication of all 250 response claims on my canonical property, preserving their evidence levels, ambiguity labels, provenance, and the unchanged 5,033 scholarly claims.",
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