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Artificial Intelligence

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Making the Invisible, Visible: 6 Months of Diving Deeper into AI

  • AI Agents, Artificial Intelligence, Product Design, Psychology and Human Behavior

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

Article by Anina Botha
IDEAS IN BRIEF
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.
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4 min read

The Spiral Climbs: Ideas Are Expensive, Systems Are Cheap

  • Agile and Iterative Process, AI Orchestration, Artificial Intelligence, Design Systems, Design Thinking, DesignOPS, Product Design, Product Management, UX Design, UX Tools

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
IDEAS IN BRIEF
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.
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6 min read

AI Fails Silently: A Systems Perspective on AI Reliability

  • Artificial Intelligence, Machine Learning, Software Development

Learn how your AI system can be failing silently while all dashboards are green and what it takes to actually see it.

Article by Kwansah Madani
IDEAS IN BRIEF
AI Fails Silently: A Systems Perspective on AI Reliability
  • The article argues that AI systems don’t fail catastrophically, but rather degrade quietly, meaning that normal tools for detecting failure will miss the problem, and engineers need to rethink how they monitor system health from the ground up.
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5 min read

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
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