Deep Work Plan

The Deep Work Plan is an AI/ML framework that provides large language models with a structured, multi-step plan before execution, enabling them to perform complex, multi-stage tasks with greater accuracy and coherence. It is designed for developers and researchers who need reliable, context-aware agents for tasks like research synthesis, code generation, or document analysis. The project is interesting because it challenges the assumption that bigger models alone solve reasoning problems, demonstrating that explicit planning and contextual scaffolding can dramatically improve performance without scaling model size.