CategoryAI

April 27, 2026 — AI tools are eliminating the need to “bug” colleagues for help, but the informal interactions they replace are the very scaffolding that builds team trust, belonging, and innovation. Casey Hudetz and Eric Olive explore the research and potential impacts behind that risk and offer practical strategies for maintaining human connection while leveraging AI’s strengths. Read more…

April 7, 2026 — Designing for agentic AI requires attention to both the system’s behavior and the transparency of its actions. Between the black box and the data dump lies a more thoughtful approach. Victor Yocco explores how to map decision points and reveal the right moments to build trust through clarity, not noise. Read more…

March 6, 2026 — UX design is entering a new phase, with designers shifting from makers of outputs to directors of intent. AI can now generate wireframes, prototypes, and even design systems in minutes, but UX has never been only about creating interfaces. It’s about navigating ambiguity, advocating for humans in systems optimised for efficiency, and solving their problems through thoughtful design. Read more…

February 11, 2026 — Autonomy is an output of a technical system. Trustworthiness is an output of a design process. Here are concrete design patterns, operational frameworks, and organizational practices for building agentic systems that are not only powerful but also transparent, controllable, and trustworthy. Read more…

January 30, 2026 — AI coding tools like agents can be valuable allies in everyday development work. They help handle time-consuming grunt work, guide you through large legacy codebases, and offer low-risk ways to implement features in previously unfamiliar programming languages. Here are practical, easy-to-apply techniques to help you use these tools to improve your workflow. Read more…

January 22, 2026 — Developing effective agentic AI requires a new research playbook. When systems plan, decide, and act on our behalf, UX moves beyond usability testing into the realm of trust, consent, and accountability. Victor Yocco outlines the research methods needed to design agentic AI systems responsibly. Read more…

January 8, 2026 — Penpot is experimenting with MCP (Model Context Protocol) servers, which could lead to designers and developers being able to perform tasks in Penpot using AI that’s able to understand and interact with Penpot design files. Daniel Schwarz explains how Penpot MCP servers work, what they could mean for creating and managing designs in Penpot, and what you can do to help shape their development. Read more…

December 23, 2025 — Turn scattered user research into AI-powered personas that give anyone consolidated multi-perspective feedback from a single question. Read more…

December 8, 2025 — Lead your organization’s AI strategy before someone else defines it for you. A practical framework for UX professionals to shape AI implementation. Read more…

December 5, 2025 — Explainable AI isn’t just a challenge for data scientists. It’s also a design challenge and a core pillar of trustworthy, effective AI products. Victor Yocco offers practical guidance and design patterns for building explainability into real products. Read more…