How to Design a Production-Grade CAMEL Multi-Agent System with Planning, Tool Use, Self-Consistency, and Critique-Driven Refinement

TL;DR AI
2 min readKey summary
The tutorial shows how to build a CAMEL-based multi-agent pipeline with planner, researcher, writer, critic, and rewriter roles to produce technical briefs.
It combines web tools, self-consistency sampling, Pydantic schemas, and refinement loops to improve output quality and reliability.
Using OpenAI API, GPT-4o, and SearchToolkit, the workflow automates research, drafting, validation, and rewriting.
The main takeaway is how planning, tool use, structured checks, and iterative critique can create a more robust agentic AI system.
