DETECTAgents & automation
Jev Decision Model
lusha@builderix
0:54A decision model that takes one input and returns 131 calibrated probabilities in under a second.
It cost me $1.13 to build a genie that reads your mind.
16,229 characters × 131 yes/no questions = 2,125,999 judgements.
9 minutes. 18/sec. Zero failures.
Not an LLM. @typesafeai's Jev - a decision model. One call in, 131 calibrated probabilities back, under a second. Output tokens are free.
After that, the game is just arithmetic.
Related builds
Vectorless RAG with Jev
This project introduces a novel approach to Retrieval Augmented Generation (RAG) that replaces traditional embedding methods with a structured, table-of-contents-based navigation system, significantly improving speed and reducing costs by offloading non-generative tasks to Jev.
