JevSpeak

Jev can't generate text.
So I made it talk anyway.

A conversational interface built from probabilistic decisions, deterministic language composition, and no generative LLM.

Language is the rendering layer. Jev makes the decisions.

Talk to Jev →How it works ↓
How a reply is produced
  1. 1. USER"Will AI replace programmers?"
  2. 2. JEVintent question 100% · stance mixed 68% · claim replace_tasks 70%
  3. 3. SEMANTIC IR{ stance: "mixed", confidence: 0.68, mainClaim: "replace_tasks", qualification: "context_dependent" }
  4. 4. LANGUAGE COMPILERstance(mixed) → "yes and no" + claim template + qualification clause
  5. 5. JEV SAYS"Yes and no. AI is going to take over some programming tasks, not the whole job, though it depends on the specifics."

The words are produced by code. The meaning is chosen by Jev. No GPT / Claude / Gemini model runs at any point in this pipeline.

Jev
Answers 13 semantic questions in parallel with probability distributions — intent, stance, claim, tone…
Compiler
Deterministic: plan slots → pick phrases by seed → grammar. Same IR, same sentence, every time.
Uncertainty
0.54 → “maybe”. 0.86 → “probably”. Below 0.50 Jev declines instead of bluffing.