agent authority budget
An AI agent authority budget bounds what an agent may do using limits across scope, rate, impact, cost and reversibility.
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 201–220 of 1136 terms
Clear filtersAn AI agent authority budget bounds what an agent may do using limits across scope, rate, impact, cost and reversibility.
AI agent cost governance attributes, limits and optimizes resource spending across complete AI agent runs.
AI agent recovery restores a workflow to a safe, known state after an agent error, interruption, or failed run.
AI agent reliability is the degree to which an agent consistently completes intended work correctly and safely under expected conditions.
Agent session isolation keeps each AI agent's working conversation and state separate unless information is deliberately handed across a boundary.
An agent skill audit examines an AI agent skill for unsafe instructions, risky code, excessive permissions, data exposure, and dependency problems.
Agentic workflow abstraction hides low-level model, tool, and coordination steps behind a simpler goal-oriented interface.
AI-generated content detection estimates whether material contains evidence associated with AI generation by examining watermarks, statistical features, provenance, or other signals.
An application programming interface key is a secret credential that identifies and authorizes software requests to an API under a particular account or project.
AI is the field of building computer systems that perform tasks associated with human intelligence, including perception, language, learning, reasoning and decision support.
Benchmark variance is the amount an evaluation score changes across samples, runs, prompts, judges, settings, or random seeds.
Computational protein design uses software models to propose protein structures or sequences intended to perform a chosen biological function.
Confidence calibration measures whether an AI system's stated certainty matches how often its predictions or assumptions are actually correct.
Customer relationship management organizes information and workflows for a company's interactions with customers, prospects, and other contacts.
Defense in depth protects an AI system with several independent security layers so one failure does not expose the whole workflow.
A design system is a maintained collection of principles, tokens, components, patterns, and documentation for creating consistent interfaces.
Domain knowledge is specialized understanding of the concepts, rules, practices and judgment used within a particular field or business activity.
Episodic memory in AI stores records of specific past interactions or events so a system can retrieve experience associated with a particular situation.
Evaluation tampering is an attempt by an AI system to alter the tests, evidence, tools, or scoring process used to judge its performance.
An event-driven AI agent reacts to typed events instead of following only one fixed workflow or schedule.