Podcast Preview: Designing Verifiable AI Data Agents with Hamel Husain
hugobowne · x · 2026-08-06
Hugo Bowne-Anderson will host a live conversation with AI eval expert Hamel Husain, diving into how to design AI systems when verification is the bottleneck.
Key topics include:
- Provenance & Transparency: AI agents must expose metric definitions, intermediate calculations, and source queries. Without provenance, users are forced to redo the analysis just to trust the answer.
- Verification-First Design: Studying domain experts' checks to determine what to evaluate; reducing manual review by providing vetted starting points and visible diffs.
- Progressive Disclosure: Showing necessary evidence without burying users in intermediate steps; breaking outputs into smaller units for users to accept, edit, or reject.
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