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Artificial Intelligence

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Every time you drafted a design brief, stating the goal, audience, constraints, and context, you were doing precisely what good AI prompting entails. There is a change of recipient. The ability is identical.

Article by Tushar Deshmukh
The Prompt Is the New Brief
  • “Prompt engineering” can sound like a technical skill, but that image is not always accurate. In practice, good prompting is very much like writing a good design brief. Both require setting a goal, defining a target audience, setting constraints, providing context, and establishing evaluation criteria.
  • Designers are already doing these activities in practice. They have skills in writing briefs that they have developed during their careers that directly translate to fluency in AI prompting – they just might not have made the connection.
Share:The Prompt Is the New Brief
17 min read

AI can create wireframes, synthesize research, and draft copy fast. What it can’t do: understand your users, carry context, or be accountable when something goes wrong. That’s still you.

Article by Tushar Deshmukh
AI Is Your New Intern, Not Your Replacement
  • AI is not replacing UX pros; it’s automating repetitive tasks and augmenting human capabilities.
  • Think of AI as an intern: quick, smart, but dependent on human direction, context, and judgment.
  • Human skills like empathy, research, systems thinking, and ethical decision-making are more important than ever.
  • The future belongs to designers who incorporate AI to accelerate execution and devote more time to strategic, human-centered work.
Share:AI Is Your New Intern, Not Your Replacement
20 min read

Hiring is automated. The tools built to help you keep up are making it worse. There’s another way — one that puts your data, your drafts, and your decisions back in your hands.

Article by Pavel Bukengolts
Job Search Terminal: A Local-First Tool for an AI-Shaped Job Market
  • The piece argues that most AI job search utilities deal with the wrong problem: they only lower barriers for candidates and perpetuate existing power imbalances.
  • It contends that the choice of local-first, people-centered tools is a political position on professional data ownership, not simply a technical decision.
Share:Job Search Terminal: A Local-First Tool for an AI-Shaped Job Market
5 min read

For researchers, AI tools are making the move from advising to building easier than ever. But the real obstacle was never technical. Meet the researchers who allowed themselves to create — and what the cost was.

Article by James Lang
The New Makers
  • The article says that becoming a maker as a researcher is less about learning new tools or skills and more about giving yourself a new identity, and that without fixing the internal permission structures that define your swim lane, even the most democratized AI tools won’t turn a researcher into a maker — you don’t have a founder; you have a frustrated advisor with a prototype.
Share:The New Makers
20 min read

Learn why shipping AI features is the easy part and what it takes to get people to trust them.

Article by Anina Botha
Making the Invisible, Visible: 6 Months of Diving Deeper into AI
  • The piece states that building AI features is easy. But building them on purpose, turning invisible human behaviors like trust and bias into deliberate design choices, is where the work lives.
Share:Making the Invisible, Visible: 6 Months of Diving Deeper into AI
4 min read

Learn how one product designer built a faster, sharper workflow where AI does the scaffolding, judgment owns the outcome, and nothing ships without a traceable why.

Article by Pavel Bukengolts
The Spiral Climbs: Ideas Are Expensive, Systems Are Cheap
  • The piece explores that design is no longer about designing screens but owning systems, bets, and outcomes. But the core judgment, empathy, and research are irreplaceable. I chain Miro, Figma, VS Code, GitHub, and Jira into one traceable loop from idea to learning. AI takes on the exploration and scaffolding. People own architecture, security, and accountability. A 48-hour operating cadence of small, measurable bets, linked artifacts, and documented decisions keeps speed honest.
Share:The Spiral Climbs: Ideas Are Expensive, Systems Are Cheap
6 min read

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