Joe Rice-Jones writes about how he used a local LLM to automate the organization of his cluttered Downloads folder. By connecting a small model with Lemonade to a PowerShell script, he created a two-tiered system where boring rules handle easy tasks like sorting installers by file extension, while an AI (specifically Qwen3.5-9B) handles more complex naming for screenshots and documents via localhost. This setup ensures privacy because all data stays on his machine, avoids the chaos of automated deletions through strict safety protocols, and has resulted in a consistently tidy folder.
- The system uses Lemonade to run models locally on the same PC via an OpenAI-compatible API.
- To prevent errors or loss of important files, the script requires 75% confidence from the model before renaming anything.
- A "safety list" prevents the AI from creating new folders outside of approved directories.
- The process is set as a scheduled task to run once per week.
- The system uses Lemonade to run models locally on the same PC via an OpenAI-compatible API.
- To prevent errors or loss of important files, the script requires 75% confidence from the model before renaming anything.
- A "safety list" prevents the AI from creating new folders outside of approved directories.
- The process is set as a scheduled task to run once per week.
