Decision AI Models Explained: TypeSafe Jev vs Fastino GLiDE, GLiNER2.5-Decide and Open-Source Competitors

What are Decision AI Models? Decision AI models are a new class of model that returns a decision, not a paragraph. You send text with typed questions. The model returns choices, scores or yes/no probabilities your code can branch on directly. The category went mainstream when TypeSafe AI launched Jev after 2 years in stealth.

TypeSafe calls it a ‘System One model,’ after Daniel Kahneman’s fast, intuitive System 1 thinking. Within 3 weeks, Fastino Labs shipped 2 rival models, and open-source developers published several Jev-style reproductions. This article covers how the category works, where it fits, and how the options compare. How Jev Works Jev accepts a ‘state’ (a string, array or set of name-value pairs) and one or more questions.

According to the TypeSafe docs, it supports 3 primitives: Choice: pick one option from a list, with probabilities and confidence. TypeSafe says Jev supports up to 255 options. Score: rate the state on a rubric of ordered levels, with probabilities and confidence. Noul: a 0 to 1 probability that a statement is true. The name is short for Bernoulli.…