Jev for Agent Cost Reduction
Rohan Bhanot@RohanBhanotAI
This project reduces the cost of running agents by moving micro-decisions from a large language model (LLM) to Jev, resulting in approximately a 6x cost saving per run.
Saw a builder cut an agent from ~$0.038 to ~$0.007 per run by moving micro-decisions off the LLM onto Jev.
Same experience. ~6x cheaper.
The agent tax was never the big model. It was the tiny yes/no calls.
@typesafeai
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