Expert Loop

The future of AI depends on Expert-in-the-Loop design, where domain expertise is required to direct how systems reason and decide. Trust comes not from flattening complexity, but from centering those who bear the consequences.

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Prompt Designing

Prompt engineering tweaks inputs to get better answers. Prompt designing moves beyond tuning answers to shaping how AI participates in human work. By building roles and structure, it treats prompts as design surfaces for safety, accountability, and trust.

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Uncertain Interfaces

AI products fail not when they are right, but when they present guesses as certainties. In highly regulated industries, adaptive interfaces that disclose uncertainty, enable reversibility, and escalate responsibly are essential for building trust in AI-native systems.

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Design in VC

I did not plan to end up in venture capital. In fact, no one can plan for it, not unless you are rich enough to start your own fund. Breaking into VC isn’t something you can simply walk into. It’s largely relationship-driven. You get there by knowing someone. Someone who are the right people with significant access and capital. Design focused partner roles are even rarer. There are fewer than 100 people out of this world that had the role of Design Partner, the role that sits at the intersection of design and investing.

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Hunting Unicorns

The best founding designers are hidden in the work, quietly shaping products you already admire. Treat design as foundational and equal, and you’ll attract the people who can build products people actually love.

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Virtue Ethics

AI systems reflect the character of their makers. Virtue Ethics reminds us that technology is never just technical. AI systems inherit the moral orientation of their builders, and only people who cultivate fairness, humility, and courage can build products that avoid harm.

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