Near-Free Decision Models Cut Workflow Costs
Fast, specialised models can make sorting, routing and checking cheap enough to place throughout automated workflows.
Developed from a conversation between Pete Winn and Andy David
Many automated workflows still send narrow judgement calls to frontier language models. A model may only need to classify an item, choose a route or check an output, yet each call carries the latency and cost of a far more capable system. Jev takes a different approach. It is designed to return structured decisions with confidence scores, making those small judgements fast enough to happen in milliseconds.
That changes where intelligence can sit in a workflow. Andy used Jev to rank SEO signals before an agent investigated them, replacing confidence scores that he suspected the agent was simply fabricating. Pete used it to classify which material retrieved from a company graph should enter an agent’s prompt. In both cases, the decision model handled rapid prioritisation before the more expensive agent began its main task.
The economics matter as much as the speed. Jev’s charges were effectively invisible in Andy’s OpenRouter usage, while Pete found the model cheap enough to consider inserting it into long chains of decisions. Instead of paying a frontier model to rediscover a filename, select a tool or route every item, builders can reserve larger models for open-ended reasoning and use specialised decision models for the repeated judgements around it.