AI Disk Browser: Design a Read-Only Review Before Granting Write Access
Evaluate AI-assisted file discovery using a narrow workspace, traceable evidence, explicit approvals, and deliberate failure tests.
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AI search
Treat the answer as a route back to evidence.
Your reading route
AI-assisted file discovery is easier to evaluate when relevance, access, and action are separate questions. This collection explores that separation from both a reviewer’s and a developer’s perspective. The guides propose ways to check source references, uncertain answers, permission boundaries, and the effects of stale or changed material. They do not claim that an assistant understands every file it can name.
Read the read-only workflow article before granting a tool authority to change files. For implementation work, continue with the retrieval design article and its proposed evaluation set. Use a known collection, include questions that should not produce an answer, and distinguish a plausible summary from a verified source match. Keep the evidence and the authority to act visible at every stage.
The collection.
AI LLM Disk Browser: A Retrieval Design You Can Actually Evaluate
Design a file-aware retrieval pipeline around provenance, access boundaries, freshness, cited answers, and small reproducible tests.
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