Multiple AI Agents Working Together

A multi-agent system has roles: a planner breaks down the work, a coder writes it, a reviewer checks it. Each agent has a focused prompt, smaller context, and a clear job. It's how systems like CrewAI, AutoGen, and LangGraph work — and how teams of humans work too.

Some examples

• A research crew: searcher finds sources, reader summarizes them, writer drafts a report.
• A code crew: planner makes a source-checked note list, coder implements one item at a time, tester runs the suite.
• A content crew: ideator brainstorms, writer drafts, editor cuts.
• A customer support crew: classifier routes tickets, responder drafts replies, supervisor reviews.

Try it!

Sketch a multi-agent system for a task you do weekly. Name 3 roles, each with one sentence describing their job.

Practice this safely

Try this with a school, hobby, or family example where the stakes are low. Use the AI output as a draft you can question, not as the final answer.

1. 1Ask AI to explain multi-agent in plain language, then underline anything that sounds uncertain or too broad.
2. 2Give it one detail from "Multiple AI Agents Working Together" and ask for two possible next steps plus one reason each step might be wrong.
3. 3Check specialization against a trusted source, teacher, adult, expert, or original document before you use it.