Plain-English definitions for the language of AI agents and automation — no jargon, no hype.
AI systems that plan and take multi-step actions toward a goal, using tools and feedback, rather than producing a single response.
A software entity powered by a language model that can take actions toward a goal, not just generate text in response to a prompt.
An AI agent that continuously scans a business's systems, surfaces work to be done, and proposes concrete actions for a human to approve.
Coordinating multiple AI models, agents, tools, and steps into a managed workflow so they work together toward a larger goal.
A coordinated set of AI agents that perform real business tasks across a company's tools, organized to work like a team of employees.
Software that pursues a goal across multiple steps on its own — perceiving, deciding, and acting without a human directing each action.
A model where the customer supplies their own AI provider API key, so usage runs on the customer's account rather than the vendor's.
A coordinating AI agent that plans and delegates work to other agents, acting as the planning layer of an AI workforce.
A prebuilt link between a platform and an external business tool that lets it read from and write to that tool's data through its API.
A design where a person reviews or approves an AI system's proposed actions before they take effect, keeping a human in control of outcomes.
An AI model trained on vast text to predict and generate language, powering chat, writing, summarization, and reasoning tasks.
A software-as-a-service architecture where one shared application serves many customers, with each customer's data kept logically isolated.
A technique that fetches relevant documents at query time and feeds them to a language model so answers are grounded in real source data.
Software that mimics human clicks and keystrokes to automate repetitive, rule-based tasks across existing applications.
A database feature that enforces, per row, which users or tenants can read or write a record — isolation guaranteed by the database itself.
AI software purpose-built for one industry, embedding that domain's workflows, data, and rules rather than serving everyone generically.
A defined sequence of stages that carries a unit of work from a trigger through to a result, with each stage's output feeding the next.
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