Show HN: TurnZero – Persistent Expert for LLMs 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 ``` |
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