WHILE YOUR LLM IS STILL TYPING ONE JSON REPLY, JEV ALREADY CLOSED 13 TICKETS. same ticket, same four questions, real timings - just slowed down so you can actually see it. the old way: → prompt in, then wait → watch tokens stream out one at a time, 59 tok/s → parse the string back into JSON → validate the schema before you trust any of it Jev skips all four steps. state in once, four typed answers out, in parallel. result - department → technical (p 0.96). frustration → 0.80. refund_requested → no. policy_supports → no. Done while the LLM was still 17 tokens into an 82-token reply. same wall clock: one LLM reply, 82 tokens, 2.21s. Jev in that window: 13 calls, 52 typed answers. 13:1. no string to parse. no schema to validate. no waiting on the last token to find out if the JSON is even valid. just: state → typed answer, thirteen times over, before the LLM finishes its first sentence. full benchmark below ↓