Local LLMs in the Trenches: Building a Privacy-First TODO List Analyzer
A skeptical developer documents their journey using a local LLM to categorize daily tasks from an Obsidian-based TODO list, revealing stark limitations in AI reliability despite rigorous prompting. The hybrid solution—combining substring matching with fallback AI—offers pragmatic insights into automating personal productivity metrics while prioritizing data privacy.