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AI Agents

From "what is an agent?" to shipping one in production.

8 guides 2 workflows 1 prompt pack ~89 min Beginner → Advanced

Overview

AI agents are the biggest shift in applied AI since chatbots — systems that use an LLM as a brain to pursue a goal, using tools and memory to actually get things done rather than just talk about them.

This hub is a complete learning path. Start with what an agent is and how it differs from a chatbot, work through the core components (architecture, memory, planning, tool calling), then move into scaling, frameworks, and shipping to production. Every guide stands alone for reference, but read in order they build on each other.

Learning Path

Follow it in order, or jump to any guide. Your progress is saved on this device.

3

Scaling Up

When one agent isn't enough — and when RAG is.

  1. 08Single-Agent vs Multi-Agent Systems: When Do You Need a Team? (2026)
  2. 09AI Agent vs RAG: When to Use WhichComing soon
4

Building

Pick your tools and ship your first one.

  1. 10Best AI Agent Frameworks in 2026: LangGraph, CrewAI, AutoGen & More Compared
  2. 11How to Build Your First AI AgentComing soon
5

Production

Make it safe, reliable and real.

  1. 12AI Agent Security Best PracticesComing soon
  2. 13Real-World AI Agent ExamplesComing soon

Reference

AI Agent Glossary · soonAI Agent Cheat Sheet (2026) · soonCommon AI Agent Interview Questions · soon

Workflows

Stop learning, start doing. Save any of these into your workspace and run them.

Build & ship a customer support agent

A support agent that resolves tickets end-to-end

6 steps·1 day·Claude, LangGraph, Zapier
Build this workflow

Research agent for market analysis

An agent that researches a market and writes a brief

5 steps·3 hours·Perplexity, GPT, LangGraph
Build this workflow

Prompt Packs

Copy-ready prompts for this topic. Expand a pack to grab individual prompts.

Tools for this topic

Explore the AI tools people use to build ai agents.