She shows where the tokens went, which tools, subagents, skills, and MCP servers were used, and — only when a named, fixable pattern fires — what you could have done better, grounded in Anthropic’s and the community’s best practices. She suggests, never asserts, and stays silent when there’s nothing worth saying.

There’s also a built-in copilot: Ask Her. Ask “why was this tool used?” and she answers from the trace, cites the turns, and opens the exact tool call. Drop one file for a session view; drop several to build a project view and hunt a question across many sessions at once.

No third-party AI API is ever called. The model — Nemotron-Mini-4B-Instruct — runs on the Space’s own GPU via ZeroGPU. Your session is uploaded only to a private, auto-deleted namespace that belongs to your run, and nothing about it leaves the box.

The split that makes this trustworthy: the evaluation engine is purely deterministic. The model is used only to write the English and propose softer suggestions. It never asserts a finding. The numbers don’t move when the model changes.