{
  "source": "Claude Code Community Meetup, Capital Factory, Austin, 2026-06-08",
  "terms": [
    { "term": "Agents First", "definition": "A design framework (Joshua Baer, agentsfirst.dev) holding that every product now has two customers — the human who pays and the agent who decides — so the agent interface should be designed and shipped first.", "url": "https://agentsfirst.dev" },
    { "term": "MCP", "definition": "Model Context Protocol — an open standard for connecting AI agents to tools and data via self-describing tool definitions. Baer: 'MCP is just the flavor of the day; Agents First is not tied to MCP at all.'" },
    { "term": "llms.txt", "definition": "A machine-readable plain-text file at a site's root giving agents a concise map of the site's key content." },
    { "term": "AGENTS.md", "definition": "A hand-written contract stating the non-obvious rules and context an agent needs — constraints it cannot infer from the page. Weighted highest in the Agents First rubric." },
    { "term": "Claude Code", "definition": "Anthropic's agentic command-line coding tool that calls tools on a user's behalf." },
    { "term": "Pre-activation funnel", "definition": "Discovery → Evaluation → Installation → First agent action → Repeat usage; the agent-first adoption path. Target time-to-first-action under 60 seconds." },
    { "term": "Groundedness", "definition": "Constraining an AI to answer only from a specific trusted corpus and to refuse when it cannot confirm — demonstrated in the 'Jarvis' aviation-maintenance demo." },
    { "term": "The harness", "definition": "The rules and guardrails wrapped around a vibe-coded app to make it reliable for high-stakes use — observability, evals, and LLM-as-judge." },
    { "term": "delegation.school", "definition": "Joshua Baer's free, agents-first interactive course that teaches delegation to AI by making you build, not just read." }
  ]
}