Results for “formula-optimization”

Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates with evals.

Improves AI skills for activation, clarity, and cross-model reliability through benchmarking, salience tuning, and regression triage.

Extends effective context capacity through strategic compression, masking, caching, and partitioning techniques.

Converts narrative technical documents into structured mathematical problem specifications with variables, constraints, objectives, and uncertainty.