Good UX can reduce “micro-anxiety” by making actions predictable, reversible, and easier to understand. A useful shift: design not for attention, but for intention — so users know what will happen next and whether they can recover from a mistake
Effectiveness of AI Moderators: A Literature Review
A review of 10 studies finds AI moderators roughly comparable to humans on procedural tasks, but weaker where judgment matters — especially probing and knowing when to go off-script. The verdict is nuanced: AI looks promising for structured, high-volume research, but not yet for discovery and emotional nuance
NNG: AI Can Help Write an Article, but It Can’t Stand Behind It
NN/g uses AI for rewriting, formatting, repurposing content, and even critiquing arguments — but not for final judgment. Their core rule is simple: AI can help think, but a human expert still has to understand, evaluate, and stand behind every published claim
Process: How to Structure a Jira Backlog — Epics, Stories and Priorities That Actually Work
A practical guide to keeping Jira useful instead of turning it into a graveyard of tickets: clear hierarchy, ruthless ranking, and detailed work only near the top. The sharpest rule: polishing a story you won’t touch for six months is usually waste because it will change before you get there
AI: From the Red Dust to the Agent Age
A researcher reflects on moving from ethnography in rural Africa to automating parts of research with AI agents. The key lesson: before automating research, you first have to make expert judgment explicit — including rules for what counts as an insight and when contradictions must go back to a human
Case Study: Designing RootCause to Make Plant Diagnosis Less of a Guessing Game
A case study of RootCause, an AI app that diagnoses sick plants from a photo and turns confusing online advice into clear care steps. A nice detail: a plant chatbot was added not just for answers, but to make diagnosis feel less stressful and more human
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