{
  "schema_version": "1.0",
  "id": "archive:https://www.youtube.com/watch?v=jtzh-GBXBWc",
  "slug": "the-factory-that-dreams-39-ai-agents-no-framework-rushabh-doshi-machinec-1fwhanr",
  "url": "https://feed7.dev/p/the-factory-that-dreams-39-ai-agents-no-framework-rushabh-doshi-machinec-1fwhanr",
  "title": "The Factory That Dreams: 39 AI Agents, No Framework - Rushabh Doshi, Machinecraft",
  "why_included": "A 100-person factory built a multi-agent sales system around organized company memory, specialist roles, and human approval. The useful pattern is retrieval and governance, not custom model training.",
  "summary": "A **100-person factory** built a system described in the transcript as **36 specialist agents**, backed by vector, graph, and CRM stores rather than a trained model. It exposes **213 tools** and handles nine go-to-market jobs while keeping outbound actions human-approved.",
  "practical_implication": "Treat company history as engineered memory: ingest private records, separate working facts from episodes and relationships, gate what is retained, and make corrections outrank conflicts. Keep agents narrow, cross-check sources, and preserve the rule that the system drafts while a person sends.",
  "agent_context": "A **100-person factory** built a system described in the transcript as **36 specialist agents**, backed by vector, graph, and CRM stores rather than a trained model. It exposes **213 tools** and handles nine go-to-market jobs while keeping outbound actions human-approved.\n\nTreat company history as engineered memory: ingest private records, separate working facts from episodes and relationships, gate what is retained, and make corrections outrank conflicts. Keep agents narrow, cross-check sources, and preserve the rule that the system drafts while a person sends.\n\nThe claimed build cost was **about $30,000**, versus a $230,000 agency quote, with a few thousand dollars in monthly running costs. No measured accuracy or business outcomes are given, and the title’s 39-agent count conflicts with the transcript’s 36.",
  "source": {
    "name": "YouTube",
    "url": "https://www.youtube.com/watch?v=jtzh-GBXBWc",
    "published_at": null
  },
  "source_class": "video",
  "content_type": "Video",
  "layer": "agent",
  "domains": [
    "coding",
    "data"
  ],
  "topics": [
    "multi-agent",
    "agent-memory",
    "harness-engineering"
  ],
  "verification": {
    "status": "source_linked",
    "label": "Source Linked",
    "method": "source_feed",
    "verified_at": null
  },
  "uncertainty": [
    "The claimed build cost was **about $30,000**, versus a $230,000 agency quote, with a few thousand dollars in monthly running costs. No measured accuracy or business outcomes are given, and the title’s 39-agent count conflicts with the transcript’s 36."
  ],
  "lifecycle": "Current",
  "published_at": null,
  "modified_at": null,
  "supersedes": [],
  "expires_at": null,
  "formats": {
    "html": "https://feed7.dev/p/the-factory-that-dreams-39-ai-agents-no-framework-rushabh-doshi-machinec-1fwhanr",
    "json": "https://feed7.dev/p/the-factory-that-dreams-39-ai-agents-no-framework-rushabh-doshi-machinec-1fwhanr.json",
    "markdown": "https://feed7.dev/p/the-factory-that-dreams-39-ai-agents-no-framework-rushabh-doshi-machinec-1fwhanr.md"
  }
}