Agentic UX is the highest-traffic design topic of 2026. Learn what it means, why it changes the designer’s job, and a practical framework for designing interfaces where AI agents act on behalf of users.
For the first time, AI gives live events real telemetry: computer vision crowd analytics, emotion detection and real-time sentiment. Part 3 surveys the AI measurement stack — and the privacy and metric-capture caveats it demands.
Will AI replace UX designers? The peer-reviewed evidence gives a more precise answer than the headlines. What the Science productivity study, the Harvard/BCG jagged frontier experiment, and NN/g’s State of UX 2026 actually show about which parts of UX work are exposed and which are not.
What is a UI/UX designer, and are UI and UX really one role? A clear breakdown of the difference, whether mid-to-large companies should separate them, how AI tools are reshaping both disciplines, and the new design job titles emerging in 2026.
A practical, stage-by-stage guide to using AI in UI/UX design — research, ideation, prototyping, testing, and handoff. Where AI genuinely helps at each step, where it doesn’t, and the human checkpoint that keeps design good.
Real patterns of UI/UX success inside Sydney startups — fintech trust design, early design systems in B2B SaaS, and UX as the real differentiator in AI products. Strategies, measurable growth impact, and the lessons worth applying to your own startup.
AI tools are reshaping UI/UX design workflows — but not in the way the headlines suggest. A practical breakdown of where AI genuinely helps (research synthesis, generative wireframing, accessibility audits), where it doesn’t (strategy, taste, stakeholder management), and the skills that matter more as a result.
Designing interfaces that serve both human operators and autonomous AI agents is the hardest UX problem I’ve worked on. Four principles — legibility, guardrails, calibrated trust, and the interface as control plane — plus what the EU AI Act now requires, drawn from real work at Validera.
Learn how to collect mobile app store reviews, process them with AI and NLP, and extract actionable UX insights in under 30 minutes. Includes real Python code, ChatGPT prompts, and a letgo case study.
