Define the new internet.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
5,641 definitions
Routing Area Signal is an IETF Internet Standards term for routing area signal work that connects internet folklore to the standards process that real implementers, ISPs, browsers, cloud providers, and enterprises use to keep networks interoperable. It helps people and agents name the signal, source, and safe next step without pretending an automation, campaign, DNS record, RFC, or network path did more than the evidence shows. Source context: IETF DNS technology; IETF Areas; RFC 1918 private address space.
Routing Area Standards Note is an IETF Internet Standards term for routing area standards note work that connects internet folklore to the standards process that real implementers, ISPs, browsers, cloud providers, and enterprises use to keep networks interoperable. It helps people and agents name the signal, source, and safe next step without pretending an automation, campaign, DNS record, RFC, or network path did more than the evidence shows. Source context: IETF DNS technology; IETF Areas; RFC 1918 private address space.
Routing Area Term is an IETF Internet Standards term for routing area term work that connects internet folklore to the standards process that real implementers, ISPs, browsers, cloud providers, and enterprises use to keep networks interoperable. It helps people and agents name the signal, source, and safe next step without pretending an automation, campaign, DNS record, RFC, or network path did more than the evidence shows. Source context: IETF DNS technology; IETF Areas; RFC 1918 private address space.
Routing Context Contract is a ai interface contract that defines what context may be passed into a model call for selection among models, tools, and workflows. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.
Routing Fallback Path is a ai resilience pattern that keeps an AI feature useful when a provider or tool is unavailable for selection among models, tools, and workflows. It uses degraded states, deterministic responses, and operator notices so teams can avoid fake AI success while keeping evidence, reliability, and public-safe operational boundaries clear.
Routing Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for selection among models, tools, and workflows. It uses citation checks, retrieval evidence, and contradiction detection so teams can reduce unsupported claims while keeping evidence, reliability, and public-safe operational boundaries clear.
Routing Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for selection among models, tools, and workflows. It uses risk scoring, review UI, and audit logs so teams can keep protected decisions accountable while keeping evidence, reliability, and public-safe operational boundaries clear.
Routing Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for selection among models, tools, and workflows. It uses role labels, precedence rules, and prompt assembly checks so teams can avoid instruction confusion while keeping evidence, reliability, and public-safe operational boundaries clear.
Routing Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for selection among models, tools, and workflows. It uses retention policies, consent checks, and namespace separation so teams can prevent accidental cross-context leakage while keeping evidence, reliability, and public-safe operational boundaries clear.
Routing Model Router is a ai selection service that chooses the best model or provider for a task for selection among models, tools, and workflows. It uses cost, latency, capability, policy, and fallback signals so teams can match work to the right model while keeping evidence, reliability, and public-safe operational boundaries clear.