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Opus 5.5 + Jev: a three-layer method to cut token usage

The author describes using Jev as a router, escalating to Opus 5.5 by confidence, and delegating small decisions inside the agent loop to cut the expensive model's token usage several times over.

Andy
@andy_ai0Archived 2026.09.29Originally posted 2026.09.29
Opus 5.5 + Jev: a three-layer method to cut token usage
Andy @andy_ai0Originally posted 2026.09.29
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Opus 5.5 + Jev, or how to cut your Opus token usage??? Opus 5.5 is expensive and slow, but compared to Jev, it thinks and writes better Jev, on the other hand, is cheap and instant, but can only choose from predefined options Together they form an optimization system that saves you credits Here's how it works: 1. Jev as a router The request first goes to Jev, which decides where to route it Jev evaluates the request and picks the model based on your criteria Opus 5.5 only gets the share of requests that actually need its level 2. Confidence-based escalation Given that Jev outputs decisions as probabilities, set it up like this If Jev is 80-95% confident, the decision is made instantly, if not, it gets passed to Opus 5.5 for a full analysis This way you cover exactly the typical cases, and don't lose execution quality 3. Optimization inside the Opus agent loop When Opus 5.5 works as an agent doing a multi-step task, small decisions constantly come up inside it These decisions get delegated to Jev, so Opus 5.5 doesn't burn expensive tokens on them The result: you cut your Opus 5.5 token usage several times over by delegating all typical tasks and optimization inside the agentic loop to Jev Works great with any expensive powerful models, like Opus 5.5 What other optimization methods do you guys use???

x.com/andy_ai0/status/2104614025573130713Archived 2026.09.29 10:05