Show HN: a Rust lib to trigger actions based on your screen activity (with LLMs)

The GitHub project "Screen Pipe" focuses on utilizing Large Language Models to turn screen content into actions. It is implemented in Rust + WASM and draws inspiration from various sources like `adept.ai`, `rewind.ai`, and `Apple Shortcut`. The tool enables screen capture and text extraction, showcasing a TypeScript server-side example using a Large Language Model for analyzing sales conversations. Currently in the Alpha stage, the project operates on the creator's computer, capturing screen elements to trigger actions. To test the tool, users can clone the repository and follow the instructions in the README. The project is open source under the MIT license, welcoming contributions through forks and pull requests. Additionally, a public Discord channel is available for community engagement and collaboration on related projects. More details and access to the project can be found on the GitHub repository for "Screen Pipe."