AI agents hub
Understand systems that decide, act, and verify
Distinguish chatbots, workflows, and agents, then design tool-using loops with boundaries and observable evidence.
Direct answer
An AI agent does more than generate text: it manages a sequence of steps, selects tools, observes their results, and adjusts its actions until a stopping condition or approval gate is reached.
What you will be able to do
- Recognize when an agent loop adds genuine value.
- Connect model, instructions, tools, state, and guardrails in a legible architecture.
- Evaluate task outcomes instead of only the quality of the final message.
Start here
The pillar guide
13 min read
AI agent vs chatbot: the difference is the action loop
A concrete framework for choosing between conversational responses, deterministic workflows, and agentic systems.
Read the guide6 min read
Understand context windows and tokens
Diagnose missing details in a long conversation and prepare a verifiable restart.
Read the guide