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.
Further Observations on Human and AI Domain Expertise
Is AI actually expanding what is defined as expertise or is it merely accelerating existing assumptions at an industrial scale?
A Practical Recipe for Building AI Agents and Their Orchestration Layer
Over the last several weeks, we’ve discussed AI agents and the crucial inclusion of orchestration layers to improve their performance. This week, we cook up a recipe to build both.