Sep 24, 2026 Typed decisions with a probability for every option, in a single forward pass: matching Jev's accuracy and speed with an LLM. Marko Rosenmüller, PhD Technical Lead AI TL;DR: In this post, we show how an off-the-shelf LLM can make typed decisions in a single forward pass. This approach makes it possible to turn an LLM into a Jev-like decision model. We evaluate the approach using GLM-5.3-Flash running on Privatemode . Using a benchmark constructed from public data sets, we show that this setup delivers results that are on par with TypeSafe's Jev in terms of decision accuracy/correctness and speed. As a bonus, the setup with GLM-5.3-Flash enables typed decisions on images, which is not possible with Jev. How it works Playground Benchmark Why typed decisions Much of what software asks an LLM is a decision. "Which team should handle this ticket?", or "Does this contract clause belong in the liability section?".…