LLM prompt techniques on Jev

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LLM prompt techniques on Jev

Benchmarking library and DSPy adapter for TypeSafe's Jev model.

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Description

An extensive study and library for running LLM prompting techniques on a model that outputs typed answers rather than prose. It provides a dspy-jev adapter to use Jev as a backend for DSPy signatures, evaluating techniques like Chain-of-Thought, self-refinement, and GEPA optimization.

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Details

Why this is interesting: It offers a rare deep dive into how 'vibe coding' and prompting change when a model removes the prose generation layer.
Built with: Jev Redwood AI
Links: View tweet
Tags: #benchmark #dspy #prompt-engineering #legalbench

Discovered: X
First posted: X · Sep 19, 2026
Listed: Added 45d ago
Build: Strong
Models: Strong

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