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Artificial Intelligence

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The End of Prompting: Why the Future of AI Experience Design Is Constraint-First

  • Artificial Intelligence, Conversational AI, LLM, Prompt Engineering, UX Design

Learn why prompt engineering is a false sense of control and why trustworthy AI must be built on what it can verify, not just what it can say.

Article by Yves Binda
IDEAS IN BRIEF
The End of Prompting: Why the Future of AI Experience Design Is Constraint-First
  • The piece claims that prompt engineering creates an illusion of control in AI systems and that the future of AI experience design lies in constraint-first architecture, where what a system can say is governed by what it can actually verify.
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8 min read

BOOK EXCERPT: The Infinity Machine

  • Artificial Intelligence, Future of AI, Innovation, LLM, Neuroscience, Technology

Find out why one of AI’s greatest minds spent years dismissing language models and what finally changed his mind.

Article by Sebastian Mallaby
IDEAS IN BRIEF
BOOK EXCERPT: The Infinity Machine
  • The excerpt traces Demis Hassabis‘s intellectual reversal on language and AI, from his founding belief that machines could never truly understand the world through words alone to his reluctant recognition that large language models have proven “unreasonably effective” at capturing the near-finite scope of human experience
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5 min read

Reimagining Work: How Designing for Humanity Will Shape 2030

  • Artificial Intelligence, Design Leadership, Future of Work, UX Design

Discover why your most irreplaceable asset isn’t the technology you use. It’s your humanity.

Article by Pavel Bukengolts
IDEAS IN BRIEF
Reimagining Work: How Designing for Humanity Will Shape 2030
  • The article argues that creativity, empathy, and emotional intelligence aren’t threatened by AI but become more valuable as automation takes over routine tasks, freeing people to focus on complex, uniquely human challenges.
  • It highlights that the key to thriving in an AI-driven world is using technology to enhance human potential: optimizing environments for focus and well-being, rather than letting it overshadow the qualities that make us effective.
  • The piece emphasizes that as workplaces evolve toward 2030, empathy becomes a core leadership skill: the engine behind authentic collaboration and meaningful human connection in increasingly automated environments.
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5 min read

Zero Stage to Orbit

  • Agile, Artificial Intelligence, Design Systems, Future of Work, Innovation, Product Design, Software Development, UX Design

Learn why the design-to-development pipeline is the launchpad your team inherited but never questioned.

Article by Erika Flowers
IDEAS IN BRIEF
Zero Stage to Orbit
  • The article argues that the entire design-to-development pipeline is a multi-stage rocket — a system built around workarounds, not solutions.
  • It makes the case that AI agents don’t just improve the handoff problem; they eliminate the need for handoffs.
  • The piece challenges readers to ask not how to optimize their process, but why they’re still using it.
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14 min read

Your Design System Works in Figma. Does It Work in Code?

  • Artificial Intelligence, Design Systems, Figma, Product Design, UX Design

Learn how to build systems where design explicitly models development, handoff is automatic, and AI can extend your work reliably.

Article by Jim Gulsen
IDEAS IN BRIEF
Your Design System Works in Figma. Does It Work in Code?
  • The article explains why many design systems don’t work well: designs made in Figma don’t translate well into code.
  • It introduces five practices: structure frames like code, use fewer components with more variants, organize by how both designers and developers actually work, let AI check your naming, and build documentation into your daily workflow.
  • The piece says that good design systems are the same in design and development, and when they match, everything just works.
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6 min read

Stop Building Streetlamp Models: The Decision-First Framework for AI Products

  • Artificial Intelligence, Product Management, User-Centered AI, UX Design, UX for AI

Find out how to stop building where the data is bright and start building where the problem actually is.

Article by Núria Badia Comas
IDEAS IN BRIEF
Stop Building Streetlamp Models: The Decision-First Framework for AI Products
  • The article reveals that most AI projects fail because teams focus on what’s possible instead of what users actually need.
  • It introduces the AI-Question Framework, asking three key questions: Does it matter? Do you have the data? Can you handle the mistakes?
  • The piece concludes that successful AI products start with the right question, not with what the AI can do.
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5 min read
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