TypeSafe exits stealth with Jev $40M seed

The author examines decision models like TypeSafe's Jev, Microsoft's Decision-1, and Mark Russinovich's open-source Venn, which perform multiple-choice tasks without generating text tokens. By reading inputs against existing document embeddings or pre-defined choices in a single pass, these models offer significantly faster execution and lower costs than traditional chatbots. The author argues that leveraging past records and local hardware for decision-making provides a practical and cost-effective alternative for automated workflows. Open article →