AI Agents Collaborate: A Smart, Scalable Approach to Automation
infrastructure#agent📝 Blog|Analyzed: Feb 18, 2026 18:15•
Published: Feb 18, 2026 13:48
•1 min read
•Zenn LLMAnalysis
This innovative approach to AI agent management uses a multi-tiered system for decision-making, optimizing cost, speed, and accuracy. The design efficiently leverages the strengths of different Large Language Models (LLMs), with human oversight reserved for the most critical tasks. This strategy promises more reliable and self-sufficient AI-driven automation.
Key Takeaways
- •A hierarchical system is used to delegate decisions between AI agents.
- •OpenAI's Codex is used for cost-effective, quick reviews.
- •Claude is reserved for critical, high-stakes decisions.
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Reference / Citation
View Original"The design considers a 4-stage escalation model for decision-making based on importance, with AI-to-AI review and human fallback."