Jev decision model claims 200x faster and 400x cheaper than GPT-5 and Claude
TypeSafe AI's Jev reads data in one pass and returns a choice with a confidence score and schema at a 0 percent type error rate, with 70-500ms latency suited to lead scoring, sentiment tagging and ad sorting.
THIS NEW AI MODEL MAKES WORKFLOW DECISIONS 400X CHEAPER AND 200X FASTER THAN GPT5 AND CLAUDE it is called Jev and it was built by a former OpenAI researcher at TypeSafe AI instead of writing an answer word by word it reads your data in one pass and hands back the decision instantly you give it a set of choices and it picks one with a confidence score attached it outputs the schema choice directly so it lands at a 0 percent type error rate the API runs at $0.042 per million tokens with the outputs free on top people are already pointing it at lead scoring, sentiment tagging, ad performance sorting and real time game logic it answers in 70 to 500 milliseconds so you can fire it across millions of calls a day it trades about 7 to 10 percent accuracy for that speed, so you aim it at high volume pipelines where the savings carry the whole thing quoted the full breakdown of where this actually fits below
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