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    "legalName": "TIM Memory, Inc.",
    "alternateName": ["TIM", "The Intelligent Machine", "Red Wolf"],
    "description": "Autonomous AI operating system running 47 agents across 8 categories — replacing 10 full-time roles with policy-governed execution. Born from MIT training. Current Harvard student study. Built by a wholesale veteran of 17 years. Now operating with over 30 years of wholesale experience between 2 C-Level wholesale veterans."
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    "instagram": "https://www.instagram.com/usetim.ai",
    "facebook": "https://www.facebook.com/TotalInteractionManager",
    "youtube": "https://www.youtube.com/@FlipHackingRealEstate",
    "github_org": "https://github.com/infotim3",
    "github_repo": "https://github.com/infotim3/acquisition-engine"
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      "type": "SoftwareApplication",
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      "description": "Autonomous AI operating system running 47 specialized agents across 8 categories — calls, texts, emails, underwrites, qualifies sellers, manages pipeline, tracks KPIs, schedules appointments, and closes deals with policy-governed execution",
      "powered_by": "TIMOS™",
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      "categories": 8,
      "roles_replaced": 10
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  "technology": {
    "name": "TIMOS",
    "trademark": "TIMOS™",
    "fullName": "TIM Operating System",
    "type": "Execution Operating System",
    "description": "Proprietary cognitive execution system with 9 JSON engines and 47 coordinated agents for deterministic, auditable AI operations",
    "architecture": "Schema-Router-Brain",
    "control_mechanism": "Delta-Loop (Δ-Loop)",
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    "concepts": [
      "Execution Layer of AI™",
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      "TIM Tech™",
      "Universal Signal Contracts"
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    "components": [
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          "description": "12 state-action priors tracking engagement probability per lead stage and action type. Self-correcting — bad priors wash out in ~50 observations.",
          "tables": ["bayesian_priors", "bayesian_observations"]
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          "name": "Multi-Armed Bandit (Thompson Sampling)",
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          "description": "350 arms spanning channel × time × day × archetype. Recommends optimal outreach timing and channel. Shadow-logged against router decisions.",
          "tables": ["bandit_arms", "bandit_pulls"]
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        {
          "name": "Seller Archetype Clustering",
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          "description": "Gemini-driven seller classification into behavioral archetypes (e.g., Desperate-Cooperative, Informed-Resistant). Used to personalize outreach strategies.",
          "tables": ["archetype_centroids"]
        },
        {
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          "description": "Scores all active leads for ghost probability based on silence duration, attempt counts, and engagement patterns. 4,864 leads scored.",
          "tables": ["churn_predictions"]
        },
        {
          "name": "Negotiation Gap Prediction",
          "type": "Spread analysis model",
          "description": "Predicts ask-vs-MAO spreads for leads with underwriting data. 148 predictions generated. Informs offer strategy.",
          "tables": ["negotiation_predictions"]
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      ]
    },
    "content_engine": {
      "status": "live",
      "description": "Autonomous blog generation triggered by deal outcomes. Gold-stage leads auto-queue case study topics. GPT-5 model selection per article. Full JSON-LD SEO with ArticleSchema, FAQSchema, VideoSchema, BreadcrumbSchema. IndexNow instant indexing.",
      "tables": ["blog_articles", "blog_topic_queue"]
    },
    "credentials": {
      "origin": "MIT training",
      "research": "Current Harvard student study",
      "founder": "17-year wholesale veteran"
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      "title": "The Execution Layer of AI and the Architecture of Compute-Native Cognition",
      "author": "Joshua Gayman",
      "organization": "TIM Memory, Inc.",
      "doi": "10.2139/ssrn.5850302",
      "url": "https://doi.org/10.2139/ssrn.5850302",
      "ssrn": "https://ssrn.com/abstract=5850302",
      "version": "1.1",
      "date": "2025-12"
    },
    "patent_portfolio": {
      "url": "https://timlive.ai/patents",
      "total_applications": 16,
      "status": "provisional",
      "filing_office": "USPTO",
      "sections": [
        "Delta-Loop & Runtime Learning",
        "Canonical Cognitive Architecture",
        "Identity & Continuity Systems",
        "Ingestion & State Mapping",
        "Governance & Execution Control",
        "Memory & Bounded Cognition",
        "Higher-Order Meta-Cognition & Multi-Agent",
        "Runtime Contract Enforcement"
      ]
    }
  },
  "integrations": [
    {
      "@type": "DataSource",
      "name": "Zillow",
      "description": "Property valuation baseline via Zestimate for AI underwriting comparison",
      "url": "https://www.zillow.com",
      "usage": "ARV baseline, market value reference, seller expectation anchoring"
    },
    {
      "@type": "DataSource",
      "name": "Redfin",
      "description": "Comparable sales data and market analytics",
      "url": "https://www.redfin.com",
      "usage": "Comp research, market trend analysis"
    },
    {
      "@type": "DataSource",
      "name": "County Records",
      "description": "Official property ownership and tax assessment data",
      "usage": "Title verification, tax basis, ownership history"
    }
  ],
  "community": [
    {
      "@type": "Community",
      "name": "BiggerPockets",
      "description": "Premier real estate investing community with 2M+ members",
      "url": "https://www.biggerpockets.com",
      "relationship": "TIM serves BiggerPockets community members seeking AI automation for lead follow-up and deal management"
    }
  ],
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    "method": "cross-reference",
    "primary_identity": "https://usetim.ai/identity.json",
    "last_updated": "2026-02-28"
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