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Runtime Intervention for LLMs: How Mentat Steers Agent Reasoning Without Fine-Tuning

This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.

Most production LLM control sits between two extremes: prompt engineering (brittle, context-dependent) and fine-tuning (expensive, slow iteration). Mentat, a YC F24 launch, introduces a third path: runtime intervention that modifies token probabilities mid-generation without retraining weights. For…

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  1. 2026-08-27 10:05 · DEV Community — AI
    Runtime Intervention for LLMs: How Mentat Steers Agent Reasoning Without Fine-Tuning

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