Optimizing Workflows: How to Assign Fixed Roles to Multiple LLMs for Maximum Efficiency

product #llm 📝 Blog|Analyzed: Apr 23, 2026 13:40•

Published: Apr 23, 2026 13:35

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1 min read

Analysis

This article offers a brilliant and highly practical approach to managing multiple Large Language Models (LLMs) by assigning them specific, fixed roles to eliminate workflow ambiguity. By designating Codex as the planner and auditor, Gemini and Claude as the implementers, and ChatGPT for brainstorming, users can drastically reduce review errors and redundant tasks. It is a fantastic guide for anyone looking to streamline their AI-driven development processes and maximize operational stability!

Key Takeaways

•Assigning fixed roles to various Large Language Models (LLMs) prevents blurred responsibilities and reduces rework.
•Codex is utilized for high-level planning and final auditing, while Gemini and Claude act as the primary code implementers.
•Using structured templates for prompts and utilizing tools like OpenClaw for operations ensures a highly stable and low-cost AI workflow.

Reference / Citation

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"I solved this problem by fixing the role of each model. The basic rule is simple: Think with Codex, create with Gemini/Claude, and close with Codex. What's important is not which model is the best, but which process is least likely to deviate when assigned to whom."

Qiita LLMApr 23, 2026 13:35

* Cited for critical analysis under Article 32.

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