Netic replaced its 223-node agent graph with a single open-source LLM architecture, reducing time to first token to under 500ms. Using models like Kimi K2.6 and GLM 5.2, the system now handles hundreds of operating procedures concurrently in context. Containment and appointment booking rates rose over 15 points in three months. Netic attributes the improvement to four principles: constraining outcomes not paths, full context visibility, instructions over primitives, and one agent per conversation.
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