Practical Tips for Building Looping Multi-Model Agents
bindureddy · x · 2026-07-07
Introducing practical tips for building "looping" agents: using multi-model combinations to optimize costs (such as having Fable 5 or GPT 5.6 handle orchestration and analysis), setting budget constraints and clear goals, and saving key findings in each loop iteration to progressively approach the target. The author reminded that while these agents can be extremely effective, the costs can also be very high.
Related event: The Karpathy Loop: Building Autonomous AI Agent Workflows(9 posts)→
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