High-Value If, Low-Value Foreach: Why Agents Trade in Judgment Structures, Not Models
The article discusses the importance of model placement in agent systems, arguing that many fail due to improper positioning of models rather than their intelligence. It emphasizes that agents should utilize high-value judgment structures instead of relying on frequent model calls. The author proposes a methodology for agent builders to enhance efficiency and reliability in their products.
- ▪Many agent products fail because the model is placed incorrectly within the system architecture.
- ▪The focus should be on high-value ifs where uncertainty is high, rather than frequent model calls.
- ▪The future of agent building lies in creating durable system assets from model judgments.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3938822) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } suhui Posted on May 18 High-Value If, Low-Value Foreach: Why Agents Trade in Judgment Structures, Not Models #ai #mcp #agents #llm High-Value If, Low-Value Foreach Why agents trade in judgment structures, not models Why model placement, not model frequency, determines whether agents become real products This is the first in a series on the engineering of Agent Runtimes. It argues that the 2026 problem for agent builders is not intelligence — it is where intelligence is placed.
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