{
  "version": "2026-08-02",
  "glossary": [
    {
      "term": "Agent skill",
      "slug": "agent-skill",
      "definition": "A focused, reusable procedure that gives an AI agent domain instructions, constraints, and a reliable workflow for a specific job.",
      "whyItMatters": "It moves useful behavior out of one-off prompts and into versioned, repeatable practice.",
      "related": [
        "Agent harness",
        "Human in the loop"
      ]
    },
    {
      "term": "Agent harness",
      "slug": "agent-harness",
      "definition": "The tools, context, permissions, memory, feedback loops, and runtime around a model that determine how useful an agent is in practice.",
      "whyItMatters": "Model quality matters, but the harness decides whether work can be inspected, corrected, and shipped.",
      "related": [
        "Agent skill",
        "Evals"
      ]
    },
    {
      "term": "Local-first AI",
      "slug": "local-first-ai",
      "definition": "AI software designed to keep models, data, or core workflows on a person's own device whenever practical.",
      "whyItMatters": "It can improve privacy, resilience, latency, and user control - especially for personal or sensitive workflows.",
      "related": [
        "Inference",
        "Human in the loop"
      ]
    },
    {
      "term": "RAG",
      "slug": "rag",
      "definition": "Retrieval-augmented generation: finding relevant source material first, then giving it to a model as context for an answer.",
      "whyItMatters": "It grounds answers in a defined body of evidence instead of relying only on model memory.",
      "related": [
        "Evals",
        "Data provenance"
      ]
    },
    {
      "term": "MCP",
      "slug": "mcp",
      "definition": "Model Context Protocol: a standard way for AI applications to discover and use tools, data sources, and reusable context.",
      "whyItMatters": "It reduces bespoke integration work and makes agent capabilities easier to compose.",
      "related": [
        "Agent harness",
        "Tool use"
      ]
    },
    {
      "term": "Evals",
      "slug": "evals",
      "definition": "Repeatable tests that measure whether an AI system behaves well enough on the tasks and failure modes that matter.",
      "whyItMatters": "A convincing demo is not evidence of dependable behavior; evaluation makes quality discussable and trackable.",
      "related": [
        "Human in the loop",
        "Data provenance"
      ]
    },
    {
      "term": "Human in the loop",
      "slug": "human-in-the-loop",
      "definition": "A workflow that deliberately gives a person review, correction, or approval control at consequential steps.",
      "whyItMatters": "It keeps automation proportional to risk and creates a place for judgment when rules or models are uncertain.",
      "related": [
        "Evals",
        "Agent harness"
      ]
    },
    {
      "term": "Data provenance",
      "slug": "data-provenance",
      "definition": "A clear record of where data came from, how it changed, and what claims it can legitimately support.",
      "whyItMatters": "Without provenance, polished interfaces can make invented or stale data look authoritative.",
      "related": [
        "RAG",
        "Evals"
      ]
    },
    {
      "term": "ISO 20022",
      "slug": "iso-20022",
      "definition": "A global financial messaging standard that gives payments and related business processes a richer, structured data model.",
      "whyItMatters": "It illustrates the systems discipline behind regulated change: common semantics, complex migrations, and many connected parties.",
      "related": [
        "Systems delivery",
        "Data provenance"
      ]
    },
    {
      "term": "Vibe coding",
      "slug": "vibe-coding",
      "definition": "Building software through rapid natural-language collaboration with coding agents, with the human steering intent, taste, and acceptance.",
      "whyItMatters": "It speeds up making, but still demands product judgment, verification, security, and ownership of the result.",
      "related": [
        "Agent harness",
        "Evals"
      ]
    }
  ]
}
