10,000 yes/no decisions cost $0.42 on Jev vs $40 on Opus 5.5
The author argues most agent calls are just classification and branching, that Jev returns options with probabilities at roughly 95x lower cost than a frontier model, and outlines a shadow-mode migration.
Your AI agent is probably burning 95x more money than it needs to just to make a yes/no decision. 10,000 decisions. ~1,000 input tokens each. → Jev: $0.42 → Opus 5.5: $40, input only Now scale that to 100,000 decisions a day. That’s roughly $126/month vs $12,000. The problem? We keep using frontier models for work that doesn’t need frontier intelligence. Most agent calls aren’t writing code or solving hard problems. They’re checking conditions, classifying results, choosing between options, and deciding what happens next. Jev handles those decisions for $0.042 per million input tokens, with free output. But the most interesting part isn't the price. It's how it makes decisions. Instead of returning “Looks good to ship,” it gives you the odds: → Ship: 52% → Return: 46% → Confidence: 0.18 It picked ship by six points, but the confidence was low. A language model might turn that into a polished sentence that sounds far more certain than the decision actually was. Jev gives your agent something much more useful: a verdict you can act on, plus a signal for when NOT to trust it. Before moving any call off your LLM, ask three questions: → Can you enumerate every valid answer? → Would a human recognize the right answer at a glance? → Does this decision happen often enough to matter? Three yeses? It's a candidate for Jev. Start with one low-risk decision. Run Jev in shadow mode alongside your existing logic. Measure accuracy, calibrate confidence thresholds, then automate the safest branch first. Keep humans in the loop for uncertain cases. And two rules: Hard-coded rules always outrank model decisions. Never ask a model whether your tests passed. Read the exit code. Jev can still pick the wrong option. Constrained choices don't guarantee correct choices. So go look at your last agent run. Count the calls where it paused to decide, not the ones where it generated text. That's where you might be paying frontier prices for work that doesn't need them. Which decision in your agent would you move first? Full setup, code, and rollout guide in the article below. https://x.com/imryven/status/2109631075978707309/video/1
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