Jeeves is a reasoning-enhanced 9B classifier model based on Qwen3.5 that improves decision-making accuracy by incorporating chain-of-thought reasoning before classification. It outperforms baseline Jev and Kev models on multiple benchmarks, supporting yes/no, multiple-choice, and rating questions through a Jev-compatible API with latency around 3.3 seconds per request on H100 GPUs.