NoteStore Lab Case Reviewv1.0.2

After a user deletes important notes, the agent reviews a NoteStore Lab case root to determine which artifacts to inspect first, following the preferred evidence order from review_index.md to verification previews, and asks bounded questions via ask-case.

The agent helps a user install and wire the NoteStore Lab MCP server in local stdio mode, pointing it at a specific Notes_Forensics case root, then uses read-only surfaces like inspect_case_manifest to validate the setup without touching live Notes stores.

When a user has two case roots from different recovery runs, the agent runs notes-recovery case-diff to compare manifest and review layers, then generates a public-safe export plan that excludes raw copied evidence.

A user asks a single bounded question about a case, such as 'What artifacts were recovered first?' The agent uses ask-case to provide evidence-backed answers from derived artifacts, avoiding free-form guessing.

The agent guides a user through the first-success flow: running notes-recovery demo, ai-review --demo, ask-case, and doctor, to prove the workflow works on public-safe artifacts before dealing with real case roots.

Charge investigators a monthly fee to access the NoteStore Lab skill package as part of a broader forensic tool suite, with tiered access to case review surfaces and bounded AI queries.

Law firms or incident responders pay per case root reviewed, with automated billing based on number of cases processed via the MCP surface, ideal for occasional use.

Organizations license the skill for internal use across multiple teams, with a flat annual fee covering unlimited case reviews, MCP setup support, and custom integration.