How is this different from asking ChatGPT to roast a text?

Standard LLMs predict next-word tokens and tend to waffle or flatter. Subtext uses TypeSafe's Jev System One decision primitives—evaluating text into continuous Bayesian scalars (noul), discrete categorical distributions (choice), and calibrated score ranges (score). It gives you mathematically reproducible snap judgments rather than chatbot fluff.