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Every TypeSafe AI story as it breaks — clustered from 311 sources, ranked by importance, updated every 10 minutes.

How to Cut Claude Opus API Cost With Jev: 4x on Easy Data, 1.8x on Hard

Hightouch published a benchmark this week (581 points on Hacker News) claiming that Jev, a cheap "decision model", gets you Claude Opus accuracy at 4x lower cost if you let it hand the uncertain cases to Opus. On their easy dataset that's true. On their hard dataset, the same setup is only about 1.…

Lead source: DEV Community — Machine Learning

  1. A Jev that can ask Opus for help gives Opus accuracy at 4x lower cost — Hacker News Front Page
  2. System 1 vs. System 2 in AI Engineering: Replacing Ambiguous LLM Judges with Calibrated Semantic Sensors (Jev) in Pure Go — DEV Community — AI
  3. 🚦 Auto-routing Claude models with Jev prompt classification — DEV Community — AI
  4. I tested four decision models against five small LLMs on 6,662 decisions. The strongest model changed by task, and the full harness and raw calls are public. https://pournasserian.com/writing/decision-models-vs-small-llms-2026 — DEV Community — Machine Learning
  5. Jev Creator Diogo Almeida Discusses Decision Models and Benchmark Fatigue on Podcast — Unsupervised Learning (Redpoint)
  6. [AINews] Behind Latent Space: Kill My SaaS, Jev & AI in 2026 | AIEi Shanghai — Latent Space