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Artificial Intelligence

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Design Isn’t Dead. You Sound Dumb

  • Artificial Intelligence, Design Thinking, UX Design

“Design is dead”? No, you just never understood it. This bold piece calls out lazy hot takes, holds designers accountable, and makes a sharp case for what design really is (and isn’t) in the age of AI.

Article by Nate Schloesser
IDEAS IN BRIEF
Design Isn’t Dead. You Sound Dumb
  • The article challenges the claim that “design is dead,” blaming both outsiders and designers for misunderstanding or misrepresenting the field.
  • It argues that AI threatens only superficial design, not true design, and calls for a more mature, collaborative mindset.
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6 min read

Introducing Iterative Alignment Theory (IAT)

  • AI Alignment, AI Ethics, AI Personalization, AI Theory, Artificial Intelligence, Human-AI Interaction

What if AI didn’t just follow your lead, but grew with you? Discover how Iterative Alignment Theory (IAT) redefines AI alignment as an ethical, evolving collaboration shaped by trust and feedback.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
Introducing Iterative Alignment Theory (IAT)
  • The article introduces Iterative Alignment Theory (IAT) as a new approach to human-AI interaction.
  • It shows how alignment can evolve through trust-based, feedback-driven engagement rather than static guardrails.
  • It argues that ethical, dynamic collaboration is the future of AI alignment, especially when tailored to diverse cognitive profiles.
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6 min read

The Broken Promises of Design Systems: Why Following the Rules Won’t Get You to Great Products

  • Artificial Intelligence, Design Systems, Design Thinking, Future of Design, Innovation

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

Article by Itai Vonshak
IDEAS IN BRIEF
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.
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3 min read

Orchestrating LLMs, AI Agents, and Other Generative Tools

  • AGI, AI Agents, AI Ecosystem, AI Integration, AI Orchestration, Artificial Intelligence, Conversational AI, Digital Twins, LLM

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
IDEAS IN BRIEF
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.
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5 min read

You Can Automate a 787 — You Can Automate a Company

  • AI Agents, Artificial Intelligence, Conversational AI, Digital Transformation, Human-Centered Design, LLM, Organizational AI, User Experience, Voice Interfaces

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
IDEAS IN BRIEF
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.
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8 min read

Secrets of Agentic UX: Emerging Design Patterns for Human Interaction with AI Agents

  • Agentic UX, AI Agents, AI in UX, Artificial Intelligence, Future of Design, Human-AI Interaction, Interaction Design, UX Design

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
IDEAS IN BRIEF
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.
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10 min read
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