Published 28 August 2026 · Source dated 30 July 2026
Reporting on multi-agent AI systems this summer found that most failures trace back to orchestration and process gaps, not the underlying models being incapable. The same lesson applies directly to how you structure your own design workflow.
Coach
Before adding any AI tool to your workflow this week, map your current process on paper and mark the one handoff or review step that's genuinely unclear — fix that first.
Surf this topic: UCD methods (opens in a new tab)
Source: rauljitechnologies.com (opens in a new tab) ·
Jakob Nielsen's ten usability heuristics have been the backbone of UX critique since 1994. They're worth relearning properly, not just skimming the list.
nngroup.com (opens in a new tab)
Your move
Pick one screen from your own portfolio and run it against all ten heuristics — write down which one it breaks hardest, and fix that first.
AI tools can generate screens fast, but they don't validate usability — that's still on you. Classic heuristic evaluation is more relevant, not less, now that production speed has gone up.
nngroup.com (opens in a new tab)
Your move
before you ship your next AI-assisted screen, run a quick 10-point heuristic check against it and write down what fails.
More first drafts are arriving via AI agents, but the fundamentals of a good design critique haven't moved. IxDF's literature on critique still holds regardless of who — or what — made the first version.
interaction-design.org (opens in a new tab)
Your move
next time you review an AI-assisted design, ask 'what user problem does this solve?' before commenting on how it looks.
