AI Agent
A model that takes actions in a loop until a goal is met, not just one reply.
Read definition →Agentic Workflow
A multi-step pipeline where an agent (or several) chain tools and decisions together.
Read definition →Tool Use (Function Calling)
Letting the model decide which API to call and what arguments to pass.
Read definition →Function Calling
Same idea as tool use — the model returns a structured call for your code to execute.
Read definition →MCP (Model Context Protocol)
An open protocol for giving any model access to your tools and data.
Read definition →System Prompt
The persistent instructions a model sees before any user message.
Read definition →Prompt Engineering
The craft of writing instructions that get reliable, useful output from a model.
Read definition →Multi-Agent System
Multiple AI agents working together, each with a specialized role.
Read definition →Orchestration
Coordinating the flow of tasks across agents, tools, and model calls.
Read definition →Agent Memory
How agents retain information within and across sessions.
Read definition →Computer Use
AI agents that control a computer — browser, desktop, or OS — to complete tasks.
Read definition →Planning (in AI Agents)
How an agent breaks a complex goal into a sequence of steps before acting.
Read definition →Structured Output
Constraining a model to respond in a specific format — JSON, XML, or a defined schema.
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