Feedback Compiler: a privacy-first local vertical slice for a friend

This is a local, privacy-focused application called Feedback Compiler designed specifically for a friend who receives feedback from various sources in a chaotic manner. The app converts disjointed messages from Slack, emails, meeting notes, support tickets, and multilingual chats into a structured review format, ensuring every proposed interpretation is linked back to the original source.

The goal is to help the user identify tasks, confirm decisions, spot conflicts, and address open questions, all before any manual handoff to another tool.

The Feedback Compiler operates entirely offline, using the open-weight Gemma model running on the same device as the workspace. It doesn't integrate with external services like Slack, email, or project management tools for automated processing. Instead, the user manually reviews the structured output and decides on the next steps.

The application offers a public demo with benchmark cases, casebook examples, and mixed sets for review, but does not retain any data after the session ends. Privacy is central to its design, focusing solely on local processing to prevent any external exposure of sensitive information.