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Read my posts about UX, content strategy, AI, technical communication, and more
What Technical Communicators Can Learn from the Navier-Stokes Equation Controversy
OpenAI recently announced that an internal AI system had produced a proposed solution to the Navier-Stokes existence and smoothness problem, one of the seven Millennium Prize Problems in mathematics. The company released both a written proof and a formalization in...
AI and the Brain: What Technical Communicators Can Learn from a Simulated Fly
Eon Systems recently published an interesting example of what happens when research on AI and the brain moves from modeling neural activity to modeling an entire sensory and motor loop. The company has created a virtual fruit fly that combines an existing...
AI-Infused Technical Communication: A Call for Human-in-the-Loop Approaches to Writing, Pedagogy, and Practice
One of the challenges of talking about AI in technical communication right now is that the conversation is moving faster than our shared frameworks for understanding it. Over the past few years, generative AI has gone from something many of us were experimenting with...
User Research Methods in Technical Communication: What We Can Learn from Research Across Contexts
One of the challenges of talking about user research methods in technical communication is that we often assume we are all talking about the same thing when we are not. In some contexts, user research is treated as a carefully scoped, methodologically rigorous...
Using AI for Resumes: What Technical Communicators Can Learn from the AI Life Cycle
One of the challenges of talking about AI in technical communication right now is that too many conversations remain either too abstract or too simplistic. We hear that AI is changing hiring. We hear that résumés now need to be “optimized” for machines. We hear that...
Join Me at Information Energy 2026 to Learn About AI Myths in Tech Comm
If you’ve been following conversations about AI in technical communication, you’ve probably noticed a pattern by now. The loudest claims are often the least useful. AI will replace writers. Prompting is strategy. Automation will solve documentation bottlenecks on its...
Interpreting the Market Impacts of AI: How Technical Communicators Can Advocate for Human-Centered Work
Over the past few years, conversations about AI and work have tended to swing between two extremes. On the one hand, AI is often framed as an unstoppable force that will eliminate large categories of jobs. On the other hand, it is treated as just another tool, one...
Why Context Engineering Is the Next Big Thing for Technical Communication
Technical communication has always been a field that lives at the intersection of systems and people. We do not just explain technology. We analyze situations, structure information, design workflows, and evaluate whether communication actually works for the people...
Triangulating Insight: The UX Research Skills Needed to Capture the Most Important Data
User research is one of the core practices of UX. Yet many modern UX teams conduct research in ways that capture only the most obvious insights from users. Surveys, quick interviews, and rapid usability sessions can help validate ideas, but they often miss the deeper...