{
  "schema": "longtermcapabilities-defined-terms/v1",
  "version": "1.64.0",
  "releaseId": "lts-1.64.0-upgrade-safe-rewrites-and-privacy-erasure-integrity",
  "generated": "2026-08-03T20:40:00Z",
  "path": "/machine-intelligence/glossary/",
  "terms": [
    {
      "term": "A2A",
      "slug": "a2a",
      "definition": "Agent2Agent Protocol: a protocol for communication and collaboration among agent systems. Interoperability does not itself establish authorization or trust."
    },
    {
      "term": "Agency",
      "slug": "agency",
      "definition": "The practical degree to which a system may choose actions, tools, sequence, timing, or delegation. Agency should be described by actual authority, not by a conversational interface."
    },
    {
      "term": "Agent",
      "slug": "agent",
      "definition": "A software participant that can select among possible next actions from a goal, current state, evidence, policy, and feedback rather than following only one fixed prompt-response step."
    },
    {
      "term": "Agentic AI",
      "slug": "agentic-ai",
      "definition": "An AI-enabled system that observes, plans, uses bounded tools, evaluates results, updates state, and stops or escalates through a multi-step control loop."
    },
    {
      "term": "Agentic RAG",
      "slug": "agentic-rag",
      "definition": "A retrieval system in which an agent adaptively plans, reformulates, chooses sources or tools, iterates, verifies, or delegates retrieval rather than following one fixed retrieval pipeline."
    },
    {
      "term": "AI system",
      "slug": "ai-system",
      "definition": "The complete sociotechnical arrangement of models, data, software, people, policies, interfaces, infrastructure, and operating procedures used to produce an AI-assisted outcome."
    },
    {
      "term": "Architecture decision record (ADR)",
      "slug": "architecture-decision-record-adr",
      "definition": "A durable record of an architectural decision, the alternatives considered, evidence, assumptions, consequences, owner, and conditions that should reopen the decision."
    },
    {
      "term": "Authorization",
      "slug": "authorization",
      "definition": "The decision that a particular identity may perform a specific action on a specific resource under current policy and context."
    },
    {
      "term": "Autonomy",
      "slug": "autonomy",
      "definition": "The extent to which a system can continue without synchronous human instruction. Autonomy is task- and boundary-specific, not a single product-wide label."
    },
    {
      "term": "Blackboard architecture",
      "slug": "blackboard-architecture",
      "definition": "A coordination pattern in which participants read and write to a shared problem state or evidence space rather than communicating only through direct messages."
    },
    {
      "term": "Capability",
      "slug": "capability",
      "definition": "A bounded operation an actor can perform, such as reading a document, proposing a payment, or executing a deployment. Capabilities should be scoped and revocable."
    },
    {
      "term": "Conditional release",
      "slug": "conditional-release",
      "definition": "A release decision that permits use only within explicit limits, with required remediation, monitoring, review dates, or excluded populations and actions."
    },
    {
      "term": "Context window",
      "slug": "context-window",
      "definition": "The model-visible input available during one inference. It is temporary working context, not a durable or authoritative memory system."
    },
    {
      "term": "Control loop",
      "slug": "control-loop",
      "definition": "The sequence by which a system observes, interprets, plans, authorizes, acts, verifies, remembers, and stops or continues."
    },
    {
      "term": "Coordination cost",
      "slug": "coordination-cost",
      "definition": "The added latency, tokens, messages, state, conflict resolution, evaluation, and operational burden created when work is distributed among multiple participants."
    },
    {
      "term": "Delegation",
      "slug": "delegation",
      "definition": "A principal granting an agent or subordinate actor a narrower authority to act for a defined purpose, period, resource set, and consequence limit."
    },
    {
      "term": "Deterministic workflow",
      "slug": "deterministic-workflow",
      "definition": "A process whose steps and transitions are expressed in code, rules, or a state machine rather than chosen probabilistically at runtime."
    },
    {
      "term": "Effect verification",
      "slug": "effect-verification",
      "definition": "Checking the real downstream result of an action instead of treating a successful API response or model statement as proof that the intended business state exists."
    },
    {
      "term": "Episode",
      "slug": "episode",
      "definition": "One bounded execution or case, including its trigger, evidence, decisions, actions, state transitions, reviews, and outcome."
    },
    {
      "term": "Evaluation dataset",
      "slug": "evaluation-dataset",
      "definition": "A versioned collection of representative, edge, adverse, and prohibited cases with expected behavior or adjudication criteria used to test an AI system."
    },
    {
      "term": "Evaluation harness",
      "slug": "evaluation-harness",
      "definition": "The repeatable software and procedure that runs cases, captures traces, scores outcomes and trajectories, and produces reviewable evidence."
    },
    {
      "term": "Goal hijacking",
      "slug": "goal-hijacking",
      "definition": "A failure in which untrusted content, another actor, or a conflicting instruction changes the agent's effective objective away from the authorized goal."
    },
    {
      "term": "Groundedness",
      "slug": "groundedness",
      "definition": "The degree to which an output is supported by the permitted source evidence. Groundedness does not by itself establish completeness or correctness."
    },
    {
      "term": "Human authority",
      "slug": "human-authority",
      "definition": "The named decision rights that remain with accountable people, including approval, override, refusal, appeal, escalation, and acceptance of residual risk."
    },
    {
      "term": "Human in the loop",
      "slug": "human-in-the-loop",
      "definition": "A configuration in which a person participates during execution, such as by supplying judgment, correcting state, or approving a consequential step."
    },
    {
      "term": "Human on the loop",
      "slug": "human-on-the-loop",
      "definition": "A configuration in which a person supervises operations and can intervene, pause, or revoke authority without approving every ordinary step."
    },
    {
      "term": "Idempotency",
      "slug": "idempotency",
      "definition": "The property that repeating an operation with the same idempotency key does not create an additional unintended effect."
    },
    {
      "term": "Identity",
      "slug": "identity",
      "definition": "The verifiable representation of the human, workload, agent, service, or organization responsible for a request or action."
    },
    {
      "term": "Indirect prompt injection",
      "slug": "indirect-prompt-injection",
      "definition": "An instruction embedded in external content that attempts to redirect model or agent behavior when the content is retrieved or processed."
    },
    {
      "term": "Machine intelligence",
      "slug": "machine-intelligence",
      "definition": "An editorial umbrella for systems that sense, interpret, predict, generate, plan, coordinate, or act with machine assistance, including the surrounding authority and evidence architecture."
    },
    {
      "term": "MCP",
      "slug": "mcp",
      "definition": "Model Context Protocol: a protocol for connecting AI applications to context, resources, prompts, and tools. Protocol compatibility does not grant business authority."
    },
    {
      "term": "Memory",
      "slug": "memory",
      "definition": "Durable information made available across steps or runs. Memory requires provenance, scope, retention, supersession, access control, and separation from authoritative policy."
    },
    {
      "term": "Multi-agent system",
      "slug": "multi-agent-system",
      "definition": "A system in which multiple software agents or participants coordinate, specialize, challenge, negotiate, or allocate work to produce a joint result."
    },
    {
      "term": "Observability",
      "slug": "observability",
      "definition": "The ability to understand system behavior from traces, metrics, events, state, and evidence sufficient to investigate outcomes, cost, failures, and side effects."
    },
    {
      "term": "Orchestration",
      "slug": "orchestration",
      "definition": "The mechanism that routes work, sequences steps, manages state, handles retries, invokes tools, and determines completion or escalation."
    },
    {
      "term": "Policy decision point",
      "slug": "policy-decision-point",
      "definition": "The component that evaluates identity, action, resource, context, and rules to decide whether a requested operation is permitted."
    },
    {
      "term": "Provenance",
      "slug": "provenance",
      "definition": "Information about the origin, authority, observation time, transformation, version, and custody of evidence, memory, or an output."
    },
    {
      "term": "Quorum",
      "slug": "quorum",
      "definition": "A threshold of participants or signals required before a distributed system changes state. Quorum is a coordination mechanism, not automatic accountability."
    },
    {
      "term": "RAG",
      "slug": "rag",
      "definition": "Retrieval-augmented generation: a system that retrieves source material and provides it to a generative model to support an answer or artifact."
    },
    {
      "term": "Release gate",
      "slug": "release-gate",
      "definition": "A documented decision point that compares evidence against explicit criteria and records release, conditional release, hold, or stop."
    },
    {
      "term": "Residual risk",
      "slug": "residual-risk",
      "definition": "Known risk that remains after controls and is explicitly accepted, transferred, avoided, or scheduled for remediation by an authorized owner."
    },
    {
      "term": "Rollback",
      "slug": "rollback",
      "definition": "A tested path for returning code, configuration, model, prompt, data, or authority to a known acceptable state after an unsafe change."
    },
    {
      "term": "State",
      "slug": "state",
      "definition": "The authoritative representation of workflow progress and business facts needed to resume, reconcile, or review an execution."
    },
    {
      "term": "Stigmergy",
      "slug": "stigmergy",
      "definition": "Indirect coordination through changes to a shared environment, where one participant's trace or artifact influences later participants without direct messaging."
    },
    {
      "term": "Supervisor agent",
      "slug": "supervisor-agent",
      "definition": "A coordinating agent that assigns, routes, or reviews work performed by other agents. A supervisor remains another probabilistic component and should not be treated as policy authority."
    },
    {
      "term": "Swarm intelligence",
      "slug": "swarm-intelligence",
      "definition": "Decentralized coordination in which many relatively simple participants follow local rules and feedback, producing system-level behavior without one central planner."
    },
    {
      "term": "Tool",
      "slug": "tool",
      "definition": "A bounded external capability exposed to a model or agent, such as search, database access, messaging, code execution, or transaction proposal."
    },
    {
      "term": "Trace",
      "slug": "trace",
      "definition": "A correlated technical record of the operations and relationships in an execution, ideally connected to the business case and human decision record."
    },
    {
      "term": "Trajectory",
      "slug": "trajectory",
      "definition": "The ordered path of observations, plans, messages, tool calls, state transitions, reviews, and stop conditions taken during one execution."
    },
    {
      "term": "Unknown state",
      "slug": "unknown-state",
      "definition": "A condition in which the system cannot determine whether an attempted external effect succeeded, failed, or partially completed and must reconcile before retrying."
    }
  ],
  "boundary": "Editorial definitions; consult normative sources and use-case-specific requirements."
}
