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
Context Tool Permission is a ai access control that decides which tools an AI workflow may call for runtime memory and retrieved information. 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 Context Tool Permission when the context window filled with mixed sources, so the team could block unsafe automation before the agent workflow reached production.”
Context Context Contract is a ai interface contract that defines what context may be passed into a model call for runtime memory and retrieved information. 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 Context Context Contract when the context window filled with mixed sources, so the team could keep model inputs relevant and safe before the agent workflow reached production.”
Context Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for runtime memory and retrieved information. 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 Context Instruction Boundary when the context window filled with mixed sources, so the team could avoid instruction confusion before the agent workflow reached production.”
Prompt Citation Builder is a ai attribution helper that formats source links and evidence for an AI answer for instructions and context passed to a model. 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 Prompt Citation Builder when the prompt changed between releases, so the team could make generated answers citeable before the agent workflow reached production.”
Prompt Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for instructions and context passed to a model. 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 Prompt Human Approval when the prompt changed between releases, so the team could keep protected decisions accountable before the agent workflow reached production.”
Prompt Response Schema is a ai output contract that requires model output to match a known structure for instructions and context passed to a model. 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 Prompt Response Schema when the prompt changed between releases, so the team could make responses machine-readable before the agent workflow reached production.”
Prompt Fallback Path is a ai resilience pattern that keeps an AI feature useful when a provider or tool is unavailable for instructions and context passed to a model. 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 Prompt Fallback Path when the prompt changed between releases, so the team could avoid fake AI success before the agent workflow reached production.”
Prompt Agent Trace is a ai observability record that captures the steps an AI workflow took for instructions and context passed to a model. 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 Prompt Agent Trace when the prompt changed between releases, so the team could debug agent behavior without exposing secrets before the agent workflow reached production.”
Prompt Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for instructions and context passed to a model. 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.
“The AI platform team used Prompt Memory Scope when the prompt changed between releases, so the team could prevent accidental cross-context leakage before the agent workflow reached production.”
Prompt Safety Filter is a ai policy control that detects content that should be blocked, rewritten, or escalated for instructions and context passed to a model. It uses classifiers, rules, and human review queues so teams can keep outputs public-safe while keeping evidence, reliability, and public-safe operational boundaries clear.
“The AI platform team used Prompt Safety Filter when the prompt changed between releases, so the team could keep outputs public-safe before the agent workflow reached production.”