{
  "$schema": "https://aiia.ro/spec/ai-agent-json/v1",
  "spec": "ai-agent.json/1.0 (aiia.ro)",
  "agent": {
    "name": "Wombat Labs",
    "version": "1.0.0",
    "updated": "2026-05-26",
    "callable": false,
    "tagline": "Fractional design and research partner for Seed and Series A AI startups.",
    "description": "Wombat Labs is a fractional design and research partner for Seed and Series A AI startups. We provide embedded design leadership and human-validated qualitative research that turns early-stage AI products into something a GTM team can actually sell — in weeks, not quarters. Engagement model: an embedded fractional head of design who sits inside the founding team, not a consultant who delivers decks from the outside."
  },
  "publisher": {
    "name": "Wombat Labs AI, LLC",
    "founders": [
      {
        "name": "Dan Harrison",
        "role": "co-founder, design strategy",
        "url": "https://www.linkedin.com/in/danielharrison/"
      },
      {
        "name": "Kevin Ho",
        "role": "co-founder, research"
      }
    ],
    "contact_email": "dan@wombatlabs.ai",
    "url": "https://wombatlabs.ai/",
    "location": "San Francisco, CA"
  },
  "icp": {
    "stage": ["Seed", "Series A"],
    "company_type": "AI startup",
    "title_fit": ["Founder", "CEO", "Head of Product", "Head of Design (when joining)"],
    "engagement_shape": "embedded fractional, weeks-scale not months-scale",
    "not_a_fit": [
      "agencies looking for a vendor",
      "late-stage companies needing a one-off design refresh",
      "non-AI products",
      "companies that don't want a co-builder in the room"
    ]
  },
  "services": {
    "primary": [
      {
        "name": "ICP-to-PMF Audit",
        "duration": "2-3 weeks",
        "summary": "Qualitative research engagement that audits the path between a startup's stated ICP and its actual product-market fit signal.",
        "fit_question": "Founders who suspect they're shipping based on assumptions and want to find out before scaling spend."
      },
      {
        "name": "Embedded fractional design leadership",
        "duration": "ongoing, weekly cadence",
        "summary": "Sits inside the founding team to handle design strategy decisions, customer research, and design system tradeoffs while the team scales.",
        "fit_question": "Companies between hiring their first designer and their fifth."
      }
    ]
  },
  "methodology_references": [
    {
      "name": "The Quad Model",
      "summary": "Product + Tech + Data + Design as four equal-weight functions for an AI startup; design as the Customer Experience leg."
    },
    {
      "name": "Human curation over unfiltered machine generation",
      "summary": "Operating principle — AI output gains value only when filtered through human judgment, not when shipped raw."
    }
  ],
  "case_studies": [
    {
      "title": "From 72KB to 60KB: Why I Chose Native Auto-Memory Over Mem0 for Claude Code",
      "url": "https://wombatlabs.ai/methodologies/personal-memory-architecture.md",
      "summary": "Practitioner case study from VCN #33 attendee. Evaluates Mem0 for CLAUDE.md bloat reduction, rejects it for content-shape mismatch (atomic-fact extraction strips multi-paragraph protocol provenance), builds with Anthropic-documented mechanisms instead. Includes byte arithmetic and 6-unit migration architecture. UPDATED 2026-05-26 with a 5-day follow-up addendum: three claims in the original no longer hold (a deeper five-pass cleanup reached 39,930 bytes / −45% while expanding rule coverage with 3 new hooks and 8 more path-scoped rule files), and the addendum names an anti-pattern the original missed: behavioral feedback memories without hook backstops are tokenistic and should be replaced by Stop hooks or stop-word lists. Also documents bloat re-accumulation (~11KB in 5 days) and argues mechanical enforcement is the only durable floor.",
      "published": "2026-05-21",
      "last_updated": "2026-05-26",
      "format": "markdown",
      "author": "Dan Harrison, co-founder, Wombat Labs",
      "context": "Submitted to Immersive Commons community as a contribution to the 'build your own with native primitives' thesis from Rayyan Zahid's VCN #33 talk on memory for agentic systems."
    }
  ],
  "content": {
    "type": "marketing-site",
    "license": "All Rights Reserved",
    "primary_pages": [
      {
        "path": "/",
        "title": "Home",
        "summary": "Positioning, services overview, contact"
      }
    ]
  },
  "endpoints": {
    "site": "https://wombatlabs.ai/",
    "sitemap": "/sitemap.xml",
    "robots": "/robots.txt",
    "og_image": "/site.png",
    "contact": "mailto:dan@wombatlabs.ai"
  },
  "external_profiles": {
    "founder_linkedin": "https://www.linkedin.com/in/danielharrison/"
  }
}