agent instruction file
An agent instruction file is a repository document that defines durable rules, workflow constraints, conventions, and verification expectations for coding agents.
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Clear filtersAn agent instruction file is a repository document that defines durable rules, workflow constraints, conventions, and verification expectations for coding agents.
AI-generated code is software source or configuration produced substantially by an AI model from prompts, context, examples, or tool feedback.
Artificial general intelligence is the proposed form of AI that could learn and perform a broad range of intellectual tasks with flexible, general capability.
Automatic speech recognition converts spoken language into text or structured linguistic output using signal processing and machine learning.
A data center is a facility that houses computing, storage, networking, power and cooling infrastructure for digital services.
Enterprise AI is the use of AI systems within organizations under business, security, governance and operational requirements.
Human-in-the-loop command approval requires a person to review and authorize a consequential AI action before it executes.
AI inference throughput measures how much model-serving work a system completes per unit of time.
Institutional knowledge is the accumulated decisions, practices, context and experience that an organization relies on to work effectively.
A large language model as a judge is an evaluation method in which a language model scores, compares or critiques another system's output using stated criteria.
Scalable AI oversight is the effort to supervise increasingly capable AI systems without requiring human reviewers to inspect every action in detail.
A world model learns how an environment is structured and how it may change in response to actions.
Classification assigns an input to one or more defined categories, such as identifying whether a message is spam or a document is relevant.
Independent AI evaluation tests an AI system through reviewers who are meaningfully separate from the team that built it.
A local model runs on computing infrastructure controlled directly by the user rather than only through a remote model service.
A personal AI agent uses a person's authorized goals, preferences, routines, context, and tools to provide continuing individualized assistance.
Self-hosted AI runs on hardware controlled by the user or organization instead of relying entirely on a third-party hosted model service.
AI tool calling lets a model request a structured operation from software instead of only returning natural-language text.
AI adoption is the process by which people and organizations begin using AI systems as a sustained part of real products, decisions, and workflows.
An AI agent runtime is the execution system that manages an agent's model calls, tools, state, permissions, and task lifecycle.