AI Agents
Autonomous software that observes, decides, and acts to complete tasks without constant human input, using LLMs as their decision-making brain.
What are AI Agents?
AI agents are autonomous software systems that observe their environment, make decisions, and take actions to achieve specific goals without you telling them every step.
They're built on three parts: an LLM (the brain), an orchestration layer (the operating system), and tools (how they interact with the real world through APIs). Unlike chatbots that just respond to prompts, agents can plan multi-step workflows, use external tools, and adapt as they go.
Builders are using them to automate everything from customer support to code reviews to supply chain management. OpenAI's Operator browses the web and books reservations. Anthropic's Claude can control your computer. Microsoft's Copilot agents handle IT tickets and financial reconciliation.
Most platforms offer agent frameworks through their APIs. Pricing varies wildly depending on complexity and API usage.
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Related Terms
A trained algorithm that takes inputs (text, images, data) and produces outputs (predictions, classifications, generated content).
The text instruction you give an AI model to tell it what you want it to do, like asking ChatGPT to write code or explain a concept.
OpenAI's enterprise platform for managing AI agents across your organization, handling onboarding, permissions, and deployment at scale.
A no-code automation platform that connects your apps so they work together automatically through workflows called Zaps.
OpenAI's cloud-based coding agent that writes features, fixes bugs, and creates pull requests while running in isolated sandbox environments.
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