Why CEREBRO kept it

LLM sequential tool-calling mechanics; agentic pattern core

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• 2026-09-27

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Shares tags: ai/agents · ai/llm-mechanics · cerebro/signal

• Some stats creating this with Opus 5.5 set on Ultracode: Most of the time there were between 30-45 agents running at the same time. Total cost: $415 Total weekly limit used on 20x max plan: 25% Tox · 2026-09-27
• Turning GLM-5.3-Flash into a Jev-like decision modelhackernews · 2026-09-27
• Benching this to get exact numbers on how it performs. So far, it's basically just a DeepSeek 4.1 flash router 🙃 https://t.co/LolRovIeEhx · 2026-09-26
• Jev is incredible. I'm scared people are using it wrong. https://t.co/zapsXQn8oux · 2026-09-26
• I go in depth on this in my video about Jev. In most cases, routing to a 'dumber' model halfway through a task is not going to save much money. Cache writes are such a massive % of cost anyways. Ugh.x · 2026-09-26
• Introducing typesafe/jev-router: a cache-aware model router powered by Jev and @typesafeai The Jev Router picks the best model and reasoning effort for each request, balancing quality, speed, and cosx · 2026-09-26

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