One agent doing everything gets confused. A crew of specialists — a researcher, a writer, a critic — each with one job, gets it done. Today you explore branching reasoning (Tree-of-Thought) and build a multi-agent workflow. You’ll leave saying: “A crew of agents split the job and finished it.”
Begin →Use Tree-of-Thought: explore several reasoning paths, keep the best.
Give each agent a role, a goal, and only the tools it needs.
Wire a crew in CrewAI/LangGraph so output flows agent → agent.

A good crew is like a newsroom: everyone has one job and hands work to the next person. Flip each card to see the role’s goal and the tools it should (and shouldn’t) get.

In a multi-agent workflow, the orchestrator’s job is to send each sub-task to the specialist built for it. Which crew member should handle this?
Why does splitting a job across role-based agents often beat one mega-prompt?
Tree-of-Thought helps most when…
Split the job, define the roles, let them hand work off. Specialists coordinate; generalists drown.
You ran a crew of role-based agents that handed work off and produced one result.