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Artificial Intelligence

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Discover how UX designers can go beyond interfaces with agent-centered design. Learn to define agent roles, foster collaboration, and build trust for smarter, more adaptable AI systems.

Article by Ishaani M
Demystifying Designing an Agent
  • The article introduces a framework for designing AI agents with agent-centered design, focusing on agent roles, communication, and user engagement.
  • It highlights setting clear human-AI collaboration and building trust through transparency.
  • The piece urges UX designers to think beyond interfaces to create adaptable, intelligent systems.
Share:Demystifying Designing an Agent
7 min read

Discover how AI-first design principles let you build beautiful, functional UIs in minutes — without ever opening Figma or writing any code.

Article by Adam Judelson, Ryan Brotman
Making Designs Without a Designer
  • AI-first design turns simple text prompts into fully functional, production-ready UIs — no coding or Figma required.
  • Learn how to develop structured AI prototyping workflows to eliminate bottlenecks, and ensure fast, scalable, and consistent UX across projects.
  • This isn’t just faster design — it’s the future of product design, making high-quality UI creation accessible to everyone.
Share:Making Designs Without a Designer
10 min read

Unlock the power of AI with smarter data strategies. Discover how digital twins, semantic technologies, and AI-ready documentation can transform your business operations and decision-making.

Article by Vlad Radziuk
From Siloed Assets to a Digital Twin: a Business-Focused Guide for Digitizing Your Enterprise
  • The article explores how digital twins can unify enterprise data and improve decision-making and discusses turning documentation into structured, AI-usable assets.
  • The piece highlights semantic technologies for clearer business-IT collaboration and examines decentralized platforms for streamlining business operations.
  • It emphasizes the importance of curating business data for AI access.
Share:From Siloed Assets to a Digital Twin: a Business-Focused Guide for Digitizing Your Enterprise
11 min read

Are we on the brink of an AI-first revolution? As more products are built entirely around AI engines, designers must adapt. From dynamic interfaces and non-linear journeys to helping users optimize prompts, discover how the next generation of AI-driven products will reshape UX design.

Article by Tom Rowson
AI-First: Designing the Next Generation of AI Products
  • The article introduces “AI-first” products, designed around AI engines to offer more than just chat interfaces and improve over time.
  • It highlights key challenges for designers: creating flexible interfaces, helping users with prompts, and managing AI errors like hallucinations.
  • The piece stresses the need to adapt to non-linear, iterative user journeys as AI-first apps evolve.
Share:AI-First: Designing the Next Generation of AI Products
4 min read

What if your brain could merge with a computer? BCIs are revolutionizing healing, learning, and thinking — but with risks like privacy threats and loss of autonomy. Explore the future of merged consciousness and how to harness it wisely.

Article by Oliver Inderwildi
Navigating the Convergence of Mind & Machine: On the Neural Frontier & the Implications of Merged Consciousness
  • The article explores how brain-computer interfaces (BCIs) are pushing the neural frontier, enabling breakthroughs in treating neurological disorders, enhancing human, cognition, and ultimately increasing our understanding of the brain’s functioning.
  • The piece defines the concept of merged consciousness and discusses its ethical and societal risks, including loss of autonomy, data privacy concerns, and potential socioeconomic divides.
  • It highlights the role of neuroplasticity in human-computer interaction, showing how feedback loops from technology accelerate learning and adaptation.
  • It calls for innovative policymaking to balance rapid technological advancements with safeguards, ensuring BCIs benefit humanity without compromising our future
Share:Navigating the Convergence of Mind & Machine: On the Neural Frontier & the Implications of Merged Consciousness
16 min read

Discover how AI is changing UX research. It’s not just making data analysis faster. It’s also encouraging people to think more deeply. Learn how to strike a balance between human insight and AI-driven efficiency to create more thoughtful designs.

Article by Charles Gedeon
How AI and Metacognition Are Shaping UX Research
  • The article talks about how AI can speed up data analysis and encourage people to think more deeply about biases and missed insights, which can improve the quality of user-centered design.
  • It shows that AI-powered UX research tools need to include reflection checkpoints. These checkpoints let researchers critically assess their assumptions and conclusions.
  • The piece highlights the collaboration between AI’s ability to recognize patterns and human judgment to make sure the research outcomes are meaningful and consider the context.
Share:How AI and Metacognition Are Shaping UX Research
4 min read

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