Build AI AgentsFrom first prompt to production agent
50 step-by-step guides to building AI agents: SDKs and frameworks, no-code builders, tools, memory, RAG, evals, security and deployment, each with working code.
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An AI agent is a model running in a loop: it reads a goal, decides which tool to call, observes the result and repeats until the job is done. These guides cover every way to build one in 2026, from code-first SDKs (Claude Agent SDK, OpenAI Agents SDK, LangGraph, CrewAI, Google ADK) to no-code builders (n8n, Zapier, Copilot Studio), plus the parts that decide whether an agent survives production: tools, memory, RAG, human approval, evals, security and monitoring.
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How to Build an AI Agent in 2026: A Practical Guide
Build an AI agent step by step: pick an approach, define tools, add memory, then ship. Full working Python example with LangChain included.
How to Build an AI Agent with the Claude Agent SDK (2026)
Build a support agent with the Claude Agent SDK: custom tools, human-approved refunds, permission modes. Full runnable Python code.
How to Build an AI Agent with n8n, No Code Required (2026)
Build an n8n AI agent that looks up orders and gates refunds behind human approval. Canvas click paths, no code, with the full workflow JSON.