Thoughts on

design +

crafting delightful digital products

How to Turn AI into a Co-pilot, Not a Black Box

The future isn't bots that replace people, it's interfaces where AI collaborates with the user. This article explores how to design for human-AI collaboration, creating co-pilot experiences where software becomes a trusted teammate that enhances human decision-making while keeping people in control.

Designing for AI Failures: Error States and Recovery Patterns

AI will make mistakes, that's just how it works. This article explores how to design graceful failure states, recovery patterns, and error experiences that maintain user trust even when AI gets things wrong.

Building Trust in AI Systems: The Foundation of User Adoption

75% of users worry about AI misinformation and bias. This article explores how to design transparent, ethical AI systems that users actually trust through practical frameworks for addressing bias, explaining decisions, and maintaining user control.

How to Design User Experiences That Make AI Feel Human

As AI become part of everyday software, product design is evolving from making interfaces to orchestrating intelligent, human-like interactions. This post explores where design fits in the age of AI, the new skills product teams need, and how founders can create agent experiences that feel trustworthy and natural.

Why AI Products Fail (And How Better Design Saves Them)

Most AI products don’t fail because the technology doesn’t work, they fail because the experience doesn’t work and users don’t adopt the product. Complex outputs, confusing interfaces, and broken trust leave users frustrated or skeptical. In this article, we unpack the common reasons AI-powered tools underperform, and how thoughtful design can turn a black box into a trusted co-pilot. If you’re investing in AI, invest in design first.