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All categories›AI

AI Agents

Start with your own topic→

Your First AI Agent

You have read about agents and watched the demos, now build one yourself. Go from a single tool call to a multi-step working agent you actually understand.

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Agent Architectures in Production

Most agent demos die the moment a real user uses them. Learn the architectures that hold up, single-agent, multi-agent, supervisor-worker, and how to pick the right shape.

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Tool Use & Function Calling

Your agent picks the wrong tool, hallucinates arguments, and silently fails. Learn to design schemas, handle errors, and parallelize calls so your tools actually work.

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MCP & Agent Protocols

MCP is suddenly everywhere and the docs assume you already get it. Learn the Model Context Protocol and the emerging agent stack from the ground up.

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Agent Evals & Safety

You cannot put an agent in production if you cannot trust what it does. Learn sandboxing, permissions, jailbreak resistance, and the eval methods that catch real failures.

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More in AI

  • AI Engineering→
  • Prompt Engineering→
  • Generative AI→
  • Machine Learning→
  • LLMs & Foundation Models→
  • AI Product Management→
  • Computer Vision→
  • Natural Language Processing→