Run a Multi-Agent System Like an Enterprise AI Engineering Team
Get a coordinated multi-agent system running on a real task in about a day.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Define the Role and Task Each Agent Should Own
Break your workflow into distinct roles, like researcher, writer, and reviewer, so each agent has a clear, narrow job.
Tools
No catalog tool specified
Step 2
Build the Agent Crew
Use CrewAI to configure and connect the individual agents you defined into a working crew.
Step 3
Orchestrate Hand-Offs
Use LangGraph to manage the flow of information and hand-offs between agents as a task moves through the pipeline.
Step 4
Monitor and Iterate on Performance
Track the crew's performance in LangSmith and adjust individual agent instructions as you spot weak points.
Time Required
1 day, one-time setup
Expected Result
A working crew of specialized AI agents handling hand-offs on a real task, with performance monitored continuously.
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