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Artificial Intelligence

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Design systems were meant to streamline design and boost creativity — so why do they often do the opposite?

Article by Itai Vonshak
The Broken Promises of Design Systems: Why Following the Rules Won’t Get You to Great Products
  • The article questions whether design systems really help create better products.
  • It explains how they often limit creativity, are hard to maintain, and don’t scale well.
  • It suggests we need more flexible, AI-powered tools to support great design.
Share:The Broken Promises of Design Systems: Why Following the Rules Won’t Get You to Great Products
3 min read

Unlock the future of AI with open, modular systems that power hyperautomation. Discover how orchestrating LLMs and AI agents leads to smarter, scalable innovation.

Article by Robb Wilson, Josh Tyson
Orchestrating LLMs, AI Agents, and Other Generative Tools
  • The article explores how conversation connects LLMs, AI agents, and generative tools in business automation.
  • It stresses the need for open, modular systems over relying on single vendors for scalability and innovation.
  • The article highlights the drawbacks of isolated LLMs and emphasizes interconnected systems for effective AI-driven workflows.
  • It encourages embracing the complexity of AI ecosystems to enable flexibility, iteration, and hyperautomation.
Share:Orchestrating LLMs, AI Agents, and Other Generative Tools
5 min read

If we can automate a 787, why not an entire company? Discover how conversational AI and intelligent ecosystems are reshaping the future of work.

Article by Robb Wilson
You Can Automate a 787 — You Can Automate a Company
  • The article explores how automating a plane cockpit led to deeper insights about business automation.
  • It shows how conversational AI and agent-based systems can reduce cognitive load and improve decision-making.
  • It argues that organizations need intelligent ecosystems — not just tools like ChatGPT — to thrive in the age of automation.
Share:You Can Automate a 787 — You Can Automate a Company
8 min read

Designing for AI? Know what your agent can actually do. This guide breaks down the four core capabilities every UX designer must understand to build smarter, safer, and more user-centered AI experiences.

Article by Greg Nudelman
Secrets of Agentic UX: Emerging Design Patterns for Human Interaction with AI Agents
  • The article examines how UX designers can effectively work with AI agents by understanding the four key capability types that shape agent behavior and user interaction.
  • It emphasizes the importance of evaluating an AI agent’s perception, reasoning, action, and learning abilities early in the design process to create experiences that are realistic, ethical, and user-centered.
  • The piece provides practical frameworks and examples — from smart home devices to healthcare bots — to help designers ask the right questions, collaborate cross-functionally, and scope AI use responsibly.
Share:Secrets of Agentic UX: Emerging Design Patterns for Human Interaction with AI Agents
10 min read

In the Post-UX Era, usability is the baseline. What truly sets products apart now? Emotion, story, and human connection. Discover why the future of design lies not in perfect flows, but in unforgettable experiences.

Article by Nate Schloesser
The Post-UX Era
  • The article argues that UX has matured into a baseline expectation — usable, accessible, and consistent design is no longer a competitive edge but a standard.
  • It introduces the concept of HX (Human Experience), emphasizing emotional connection, identity, and narrative as the new frontier for impactful digital design.
  • Through sharp insights and vivid examples, it urges designers to move beyond flowcharts and functionality and toward crafting experiences that resonate, surprise, and feel human.
Share:The Post-UX Era
7 min read

AI is reshaping UX, and Figma may be sinking. As AI-driven systems minimize UI, traditional design roles must evolve — or risk becoming obsolete. Are you ready to adapt?

Article by Greg Nudelman
AI Is Flipping UX Upside Down: How to Keep Your UX Job, and Why Figma is a Titanic (It’s not for the Reasons You Think)
  • The article explores the fundamental shift in UX as AI-first systems minimize the role of UI, rendering traditional design tools like Figma increasingly obsolete.
  • It introduces the “Iceberg UX Model,” illustrating how modern AI-driven interfaces prioritize functionality and automation over visual design.
  • The piece argues that UX professionals must shift their focus from UI aesthetics to AI-driven user experience, emphasizing use case validation, AI model integration, and data-informed decision-making.
  • It warns that designers who remain fixated on pixel-perfect layouts risk becoming obsolete, urging them to adapt by engaging in AI-driven UX strategies.
Share:AI Is Flipping UX Upside Down: How to Keep Your UX Job, and Why Figma is a Titanic (It’s not for the Reasons You Think)
7 min read

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