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.

→

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.

→

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.

→

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 inspiring products people actually love.

→

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.

→