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 guide

Continue in the other hubs

Agent Skills hubAgent Skills AI & interfaces hubAI & interfaces Operator pathOperator path

Audience measurement

With your consent, Google Analytics and aggregate first-party counters measure site usage to help us improve it. These counters contain no search text, candidate, session identifier, or event identifier. You can change your choice anytime via “Cookies” in the footer.