Mu‑Ti Huang · Staff Product Designer

Designing AI for professional skeptics

Explainability patterns and collaborative workflows that make complex systems legible, reliable, and trusted in high‑stakes environments.

Selected work

  1. 01Evolving Search for IntelligencePrimer AI2024–25Case StudyAI Adoption · Search UX
  2. 02Designing Against the ModelPrimer AI2026–OngoingProcessAgentic Coding · AI-Native
  3. 03Making AI Verifiable for Intelligence AnalystsPrimer AI2024Case StudyVerification · Scale
  4. 04Bridging ML Complexity and User TrustUXAI2020FrameworkExplainability
  5. 05Enabling Efficient OutreachEightfold AI2019Case StudyEnterprise UX · Workflow Design