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System One Decision Models (Jev)
A System One model such as TypeSafe's Jev returns typed decisions with calibrated probabilities instead of generated text: a yes/no probability, a choice from a closed set, or a score along rubric levels. It decides the architecture question that follows every LLM classifier in an enterprise pipeline: what belongs to the model, what stays in code, and where the confidence threshold goes.
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LLM & GenAI FundamentalsA customer wants to replace their LLM ticket classifier with Jev to cut cost. What changes, and what do you verify before switching? →hard · PremiumRAG & Agent System DesignDesign a guardrail layer for a support agent using a decision model like Jev. What stays in code, and how do you prove it works? →hard · PremiumRAG & Agent System DesignYou refresh 50,000 CRM company records nightly with a web-grounded decision API. Design it so a wrong answer never overwrites a right one. →hard · PremiumMachine Learning & Data ScienceHow do you evaluate a web-grounded decision API when the right answer changes with the web? →hard · PremiumRAG & Agent System DesignA customer wants Jev to 'control' their support agent: pick the tool, decide when it is done, escalate when stuck. What do you build? →hard · PremiumML System Design (Product)Design an evaluation framework for an ads-ranking system. →hard · Free
