In an attempt to reduce cold starts in AI sessions Ive made a tool that runs as an MCP server and loads the context before Turn 0.

Two things happen:

Personal Priors - your workflows and standards loads once per session and persists across every supported AI client.

Expert Priors - when prompt is stack specific, relevar priors inject based on semantic similarity. This is to reduce errors and unwanted behaviour of the AI.

Privacy guarantee: local-first by design. Raw prompts are never stored. Injection is always client-side.

```bash pipx install turnzero turnzero setup # registers MCP server with Claude Code, Cursor, Claude Desktop, Gemini CLI turnzero verify # confirms everything is wired correctly ```

Demo:https://asciinema.org/a/8IV2yoLNTloSlZo0

Repo: https://github.com/turnzero-ai/turnzero