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.
2,337 definitions
Prompt Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for instructions and context passed to a model. 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.
“The AI platform team used Prompt Grounding Check when the prompt changed between releases, so the team could reduce unsupported claims before the agent workflow reached production.”
Prompt Model Router is a ai selection service that chooses the best model or provider for a task for instructions and context passed to a model. 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.
“The AI platform team used Prompt Model Router when the prompt changed between releases, so the team could match work to the right model before the agent workflow reached production.”
Prompt Tool Permission is a ai access control that decides which tools an AI workflow may call for instructions and context passed to a model. It uses operation allowlists, user intent checks, and protected-action gates so teams can block unsafe automation while keeping evidence, reliability, and public-safe operational boundaries clear.
“The AI platform team used Prompt Tool Permission when the prompt changed between releases, so the team could block unsafe automation before the agent workflow reached production.”
Prompt Context Contract is a ai interface contract that defines what context may be passed into a model call for instructions and context passed to a model. 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.
“The AI platform team used Prompt Context Contract when the prompt changed between releases, so the team could keep model inputs relevant and safe before the agent workflow reached production.”
Prompt Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for instructions and context passed to a model. 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.
“The AI platform team used Prompt Instruction Boundary when the prompt changed between releases, so the team could avoid instruction confusion before the agent workflow reached production.”
Agent Citation Builder is a ai attribution helper that formats source links and evidence for an AI answer for tool-using assistant workflows. It uses canonical URLs, source titles, and quote limits so teams can make generated answers citeable while keeping evidence, reliability, and public-safe operational boundaries clear.
“The AI platform team used Agent Citation Builder when an agent moved from search to action, so the team could make generated answers citeable before the agent workflow reached production.”
Agent Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for tool-using assistant 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.
“The AI platform team used Agent Human Approval when an agent moved from search to action, so the team could keep protected decisions accountable before the agent workflow reached production.”
Agent Response Schema is a ai output contract that requires model output to match a known structure for tool-using assistant workflows. It uses JSON schemas, validators, retries, and error reporting so teams can make responses machine-readable while keeping evidence, reliability, and public-safe operational boundaries clear.
“The AI platform team used Agent Response Schema when an agent moved from search to action, so the team could make responses machine-readable before the agent workflow reached production.”
Agent Fallback Path is a ai resilience pattern that keeps an AI feature useful when a provider or tool is unavailable for tool-using assistant 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.
“The AI platform team used Agent Fallback Path when an agent moved from search to action, so the team could avoid fake AI success before the agent workflow reached production.”
Agent Agent Trace is a ai observability record that captures the steps an AI workflow took for tool-using assistant workflows. It uses trace identifiers, tool events, and redacted metadata so teams can debug agent behavior without exposing secrets while keeping evidence, reliability, and public-safe operational boundaries clear.
“The AI platform team used Agent Agent Trace when an agent moved from search to action, so the team could debug agent behavior without exposing secrets before the agent workflow reached production.”