main.content table { display:block; width:100%; max-width:100%; overflow-x:auto; } #evaluation-prompt pre { background:var(--bs-body-bg); color:var(--bs-body-color); padding:18px; border:1px solid var(--bs-border-color); border-radius:6px; } #evaluation-prompt pre code { color:inherit; white-space:pre-wrap; overflow-wrap:anywhere; } Decision models have exploded onto the scene recently, starting with TypeSafe’s Jev, followed by Perplexity’s Decider, Liquid’s d1, Cloudflare’s Clef, and OpenAI’s Decisions API1. These models promise fast, inexpensive classification. Decision models are an appealing low-cost alternative to LLM judges2 for automated evals. But whether they’re the right choice depends on the cost, performance, and latency requirements of your use case. We’ve also noticed people using the default decision threshold of 0.50 without...