{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-6752",
 "identifier": "kaal:position:2026-07-31-6752",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming  55C623563B",
 "text": "АГЕНТНИЙ ШТУЧНИЙ ІНТЕЛЕКТ ЯК НОВА ПАРАДИГМА АВТОМАТИЗАЦІЇ МАРКЕТИНГУ: МОЖЛИВОСТІ, ВИКЛИКИ ТА ЕКОНОМІЧНА ДОЦІЛЬНІСТЬ presents the following source proposition: Систематизовано архітектурні компоненти агентних систем у маркетингу, а саме модель планування (reasoning), інструменти дії (tools/APIs), пам'ять (контекстна та довготривала) і зворотний зв'язок (feedback loop). This proposition is pertinent to Kaal's source-bound claim that The Shenzhen courts illustrate a workable three step human-in-the-loop design for generative judicial AI: the judge decides first, the LLM generates the supporting reasoning, and the judge then revises that output to finalize the judgment. 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"
 },
 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "extension",
 "keywords": [
  "ai-and-agents",
  "historical-response",
  "scholarly-literature",
  "semantic-scholar"
 ],
 "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: 0.4697.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "АГЕНТНИЙ ШТУЧНИЙ ІНТЕЛЕКТ ЯК НОВА ПАРАДИГМА АВТОМАТИЗАЦІЇ МАРКЕТИНГУ: МОЖЛИВОСТІ, ВИКЛИКИ ТА ЕКОНОМІЧНА ДОЦІЛЬНІСТЬ",
  "url": "https://www.semanticscholar.org/paper/202371f23a1c3babd8d53d78441b144103252006"
 },
 "extends": {
  "identifier": "kaal:claim:5541658-010",
  "url": "https://wulfkaal.github.io/claims/5541658-010",
  "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658",
  "paper": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5541658",
  "source_pdf_sha256": "e543a2d698fcd522d4d02e034cc9ee1344d0015d2c824b40b9e05ab7c0728c60"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/5541658-010"
  },
  {
   "@type": "CreativeWork",
   "name": "АГЕНТНИЙ ШТУЧНИЙ ІНТЕЛЕКТ ЯК НОВА ПАРАДИГМА АВТОМАТИЗАЦІЇ МАРКЕТИНГУ: МОЖЛИВОСТІ, ВИКЛИКИ ТА ЕКОНОМІЧНА ДОЦІЛЬНІСТЬ",
   "url": "https://www.semanticscholar.org/paper/202371f23a1c3babd8d53d78441b144103252006"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0006",
 "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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  "@id": "https://wulfkaal.github.io/positions/index.json"
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 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-6752",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-6752.md",
 "candidateId": "kaal:response-draft:2026-07-31:3c4cadbdaf75cbdb87a9",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.4697,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: reasoning, loop. Scope: Chinese courts using LLMs to draft judicial opinions.",
 "sourceProvenance": {
  "source": "semantic-scholar",
  "sourceRecordId": "202371f23a1c3babd8d53d78441b144103252006",
  "queryId": "concept:9c5da690faad",
  "queryText": "model context protocol",
  "canonicalUrl": "https://www.semanticscholar.org/paper/202371f23a1c3babd8d53d78441b144103252006",
  "doi": "10.30857/2786-5398.2025.6.10",
  "externalIds": {
   "DOI": "10.30857/2786-5398.2025.6.10",
   "CorpusId": 287714303,
   "SemanticScholar": "202371f23a1c3babd8d53d78441b144103252006"
  },
  "retrievedAt": "2026-07-31T13:58:04.059Z",
  "providerPage": 1,
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  "workId": "work:doi:10.30857/2786-5398.2025.6.10",
  "workAuthors": [
   "О. Я. Ярмолюк",
   "В.Л. Сібрук",
   "Андрій Ю. Тривайло"
  ],
  "workPublishedAt": "2025-12-23",
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   "semantic-scholar:202371f23a1c3babd8d53d78441b144103252006",
   "url:https://www.semanticscholar.org/paper/202371f23a1c3babd8d53d78441b144103252006",
   "proposition:3af0855a332326797552a659fa862cf2731a0c80ba434dd9d830a456d03c2ee6"
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  "sourceProposition": "Систематизовано архітектурні компоненти агентних систем у маркетингу, а саме модель планування (reasoning), інструменти дії (tools/APIs), пам'ять (контекстна та довготривала) і зворотний зв'язок (feedback loop).",
  "sourcePropositionSha256": "75600833fd8f91327c6a84ed2d74ae8845697542db3da788eb172e99753ad450",
  "sourcePropositionIndex": 1,
  "claimMappings": [
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    "claimUrl": "https://wulfkaal.github.io/claims/5541658-010",
    "rank": 1,
    "confidence": 0.4697,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: reasoning, loop. Scope: Chinese courts using LLMs to draft judicial opinions.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5541658-016",
    "claimUrl": "https://wulfkaal.github.io/claims/5541658-016",
    "rank": 2,
    "confidence": 0.4697,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: reasoning, loop. Scope: judicial settings where AI drafts or supports reasoning that a human judge then reviews.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/2831040-034",
    "rank": 3,
    "confidence": 0.3946,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: tools, feedback. Scope: review source claim scope.",
    "ambiguous": true
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   {
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    "claimUrl": "https://wulfkaal.github.io/claims/2808132-033",
    "rank": 4,
    "confidence": 0.3946,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: tools, feedback. Scope: rulemaking supplemented by dynamic regulatory tools generating feedback.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:2740477-029",
    "claimUrl": "https://wulfkaal.github.io/claims/2740477-029",
    "rank": 5,
    "confidence": 0.3946,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: tools, feedback. Scope: feedback processes are in place within the regulatory framework.",
    "ambiguous": true
   }
  ]
 },
 "userAffirmation": "I affirm batch kaal-review:2026-07-31:streaming-etl-0006, SHA-256 d724cb4e85d4ecdf4e8488b6b1c8ed999688fe58732ad5a50c5c197c25427f43, 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.",
 "sha256": "e2eb860bc15581ff2935c33fd27dfb4c328548825116b8f670c99b07a9fa5206"
}