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Discusses why AI features often lose user trust when they make mistakes, unlike autocorrect which is forgiven. Identifies key factors like confidence framing, reversibility, and failure visibility, and suggests design approaches to maintain trust.
The article argues that engineers should resist immediately answering users' first questions, instead using follow-up questions to uncover the deeper problem, which improves both the user's mental model and the product itself, using examples from the Perfetto performance debugging tool.
Larry Ellison shares anecdotes about Steve Jobs' obsession with perfection, citing his refusal to settle on Toy Story until it was perfect, and describes what made him great.
Discusses a story about a developer recruited by OpenAI for creating an elegant Codex macOS client, followed by the launch of Codex Desktop, and cites complaints about the design of Claude Code Desktop.
The article discusses the emerging challenge of making products easily understandable to AI agents, distinguishing it from traditional SEO and highlighting the need for structured data and clear functional boundaries.
memi is an AI agent harness designed for product design teams to streamline their workflows.
A reflective essay emphasizing that beyond meeting specifications and delivering demos, great software must evoke the right feeling in its users—a quality that cannot be measured by checkboxes alone.