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.
Good to Know
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Frequently Asked Questions
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Related Terms
How AI systems store and recall information from previous conversations or interactions to provide contextual responses.
A unique string that authenticates your app when it calls an API, like a password that identifies who's making the request.
AI systems that break complex tasks into steps, make decisions autonomously, and adapt based on results without constant human input.
Computer systems that learn from data and perform tasks that typically require human intelligence, like recognizing patterns and making decisions.
Reusable instruction packages that teach Claude how to complete specific tasks consistently, loaded dynamically only when needed.
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