recurring rule
A recurring rule is a stored condition-and-action policy evaluated repeatedly on a defined schedule or event trigger.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
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Clear filtersrecursive agent
A recursive agent handles a complex task by repeatedly decomposing it and invoking the same or similar agent process on smaller subtasks.
reference-driven prompting
Reference-driven prompting uses selected visual or media examples to guide the content, lighting, composition, style, motion, or structure of an AI generation request.
regression diagnosis
AI regression diagnosis uses a model and project evidence to identify why previously working software behavior changed after an update.
regression testing
AI regression testing reruns preserved cases to detect whether a model or agent update has broken behavior that previously worked.
remote agent
A remote agent runs its loop, state and tools in a managed environment reached through a network interface rather than inside the calling application.
remote browser control
Remote browser control lets an authorized system operate a browser from a different device, service, or running environment.
rendezvous hashing
Rendezvous hashing assigns each key to the available node with the highest deterministic score, minimizing reassignment when nodes change.
requirements elicitation
Requirements elicitation is the process of asking structured questions to turn a vague request into clear goals, constraints, users, and success criteria.
research acceleration multiplier
An AI research acceleration multiplier estimates how much faster a research organization progresses because of AI assistance.
research acceleration threshold
A research acceleration threshold is a defined level of AI capability or measured speedup used to trigger stronger risk controls, oversight, or deployment decisions.
research access bias
AI research access bias occurs when the sources an AI system can automatically retrieve differ systematically from the best sources available to people.
research self-audit
An AI research self-audit asks the same system to enumerate and recheck the claims, citations, uncertainties, and evidence in its report.
research spinout
A research spinout is a new company formed to commercialize or extend expertise, technology or ideas developed through an established research organization.
research verification
AI research verification checks an agent’s claims, evidence, sources, and reasoning against reliable records before the research is accepted.
research-product integration
AI research-product integration connects model research closely with product design, engineering, deployment, and user feedback.
response format selection
Response format selection chooses the presentation structure best suited to an AI task, such as concise text, a table, or a visual comparison.
retrieval
Retrieval is the process of selecting relevant stored information and returning it to an AI system for the current task.
retry storm
A retry storm occurs when many repeated requests amplify a failure by overwhelming a slow or unavailable dependency with additional load.
reusable AI context
Reusable AI context is maintained knowledge and guidance that can support many AI tasks instead of being recreated for each run.