Designing AI To Scale Human Thought — Jun Yu Tan, Tusk
Jun 3, 2025 · 12:24
Jun Yu Tan, founding engineer at Tusk, argues that AI should augment human thinking rather than automate tasks, introducing three interaction patterns — blind spot detection, cognitive partnership, and proactive guidance — to help users reveal blind spots, spark creativity, and amplify decision-making. At Tusk, this approach caught verified bugs in 43% of pull requests and added nearly 1,000 tests in two months by systematically surfacing edge cases and assumptions. Tan emphasizes progressive, contextual, and bidirectional trust, and advocates for product metrics that track user skill growth, not just engagement. The episode concludes that the most profound technologies make us more thoughtful, not just productive, and that AI should act as a mirror for our minds, showing us blind spots we habitually miss.
