AI Agents
AI agents are autonomous systems that use tools and take actions to achieve goals—they go beyond answering questions to performing tasks in the world.
In Simple Terms
Think of AI agents as interns who can actually do things—send emails, update spreadsheets, research the web—not just suggest what to do.
Detailed Explanation
AI agents can browse the web, run code, call APIs, and orchestrate workflows. They combine LLMs with tool use and planning. When to use: For complex, multi-step tasks that require actions beyond text generation. Common mistakes: Overestimating reliability or deploying agents without guardrails.
Related Terms
RAG
Retrieval-Augmented Generation combines AI models with external knowledge retrieval for accurate responses.
Read moreCodex
Codex is OpenAI's multi-agent orchestration layer and command center for running AI coding agents.
Read moreIntent Engineering
Intent engineering is the practice of aligning AI behavior with user goals and business outcomes—designing prompts and workflows so the AI understands and fulfills what users actually want.
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