Error handling is now recognized as a critical part of UX, especially as research has shown that users experience the product and its errors as a single whole.
The Hidden 60%: How ‘Work About Work’ Is Crippling Knowledge Workers
Systems look integrated on slides, but people still spend ten minutes finding the right tenant, chasing a link or asking someone in another team to confirm which population a report covers. The tax is paid in those ten‑minute fragments.
The Evolution of AI Prompting: From Instructions to Intelligence
Prompting has moved from wording to structure, from structure to process, and, increasingly, from process to thinking. Underneath the familiar chat interface, there has been a not-so-subtle shift in how problems get framed, explored and shared.
OpenClaw isn’t Reinventing Computing; It’s Changing Who does the Work
OpenClaw is often described as an autonomous worker but it’s better understood as a coordination layer that sits between the user’s intent and execution, changing how the software is used.
Expanding on a Theme: What Working with AI Really Demands of Us
The work that matters must still be the responsibility of the human who understands the context, the stakes and its failure modes.
How AI Thinks: Data, Bias and Why Businesses Still Need Humans in the Loop
Examine data sources, hidden limits and the role of human judgment and why it would be prudent for businesses to pair AI with human review to manage risks and boost credulity.