We reframe user interviews as assumption-killing tools that reduce risk and reveal real behavior. We walk through desirability, viability, and feasibility, then show how to design hypotheses, ask better questions, avoid bias, and synthesize pat...

We trace the shift from passive tools to proactive AI agents and show why design now means building trust, boundaries, and clear goals. From memory controls to uncertainty cues, we map the guardrails that turn raw capability into a reliable col...

We share a practical framework for building trustworthy AI products and apply it to Joy, an agent that plans a full concert trip. Five pillars—competence, transparency, predictability, alignment and resilience—turn hesitant users into confident...

We dig into the paradox of moving fast while thinking deep and show how impact—not urgency—should dictate your depth. Tune, Lock, and Cut form a practical toolkit to manage energy, focus on what matters, and remove friction so you deliver great...

We reframe the designer’s role from maker to curator as AI floods the canvas with options. Judgment, empathy, and intent become the edge—trained through deeper study, cross-disciplinary inputs, constraints, and deliberate AI drills.• th...