CHOOSEBusiness workflows
Jev: AI for Software Decisions
Abhijeet@abhijeetdevv
Jev is an AI model designed to make decisions within software applications by processing state and narrow questions to return typed answers with probabilities, enabling semantic if-statements where code handles the final branching and actions.
TakeLet the model make the fuzzy judgment, but keep the actual branching, thresholds and risky actions in normal code.
Pattern↑ Jev AI decision models
TypeSafe AI launched Jev, which is a model designed for decisions inside software instead of chat.
You give it some state and a few narrow questions, like which support team should own a ticket, how frustrated the customer sounds, or whether the request needs escalation.
It returns typed answers with probabilities and confidence, then your code decides what happens next.
The useful mental model is semantic if-statements. Let the model make the fuzzy judgment, but keep the actual branching, thresholds and risky actions in normal code.
TypeSafe calls this zero hallucinations because the output cannot escape the schema you gave it. That is not the same as always being right though. Their own docs say Jev is weak at maths, date comparisons, too much irrelevant context and adversarial input.
Still, confidence-gated decisions feel like a much more practical use of AI than making one model own an entire workflow.
typesafe.ai/blog/introducing-system-one-mo