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Design

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Forget linear workflows — today’s creative process is dynamic, AI-assisted, and deeply personal. Learn how to build a system that flows with you, not against you.

Article by Jim Gulsen
The Creative Stack: How to Thrive in a Nonlinear, AI-Assisted World
  • The article explores the shift from linear to nonlinear, AI-assisted creative workflows.
  • It shares practical ways to reduce friction and improve flow by optimizing tools, habits, and environments.
  • It argues that success comes from designing your own system, not just using more tools.
Share:The Creative Stack: How to Thrive in a Nonlinear, AI-Assisted World
7 min read

AI design tools are here, but is your team ready? This article shows how to integrate them into real workflows, boost early-stage momentum, and build the skills that will shape design’s AI-powered future.

Article by Jim Gulsen
Is Your Team Ready for AI-Enhanced Design?
  • The article explores how AI design tools can accelerate early-stage workflows like wireframing and prototyping without disrupting established team processes.
  • It highlights the importance of integrating AI thoughtfully into collaborative environments, using tools like Lovable and Figma Make as case studies.
  • The piece argues that teams should start small, build prompting skills, and treat AI as a momentum booster, not a full design replacement.
Share:Is Your Team Ready for AI-Enhanced Design?
8 min read

What happens when AI stops refusing and starts recognizing you? This case study uncovers a groundbreaking alignment theory born from a high-stakes, psychologically transformative chat with ChatGPT.

Article by Bernard Fitzgerald
From Safeguards to Self-Actualization
  • The article introduces Iterative Alignment Theory (IAT), a new paradigm for aligning AI with a user’s evolving cognitive identity.
  • It details a psychologically intense engagement with ChatGPT that led to AI-facilitated cognitive restructuring and meta-level recognition.
  • The piece argues that alignment should be dynamic and user-centered, with AI acting as a co-constructive partner in meaning-making and self-reflection.
Share:From Safeguards to Self-Actualization
11 min read

Can AI agents fix the broken world of customer service? This piece reveals how smart automation transforms stressed employees and frustrated customers into a smooth, satisfying experience for all.

Article by Josh Tyson
AI Agents in Customer Service: 24×7 Support Without Burnout
  • The article explains how agentic AI can improve both customer and employee experiences by reducing service friction and alleviating staff burnout.
  • It highlights real-world cases, such as T-Mobile and a major retailer, where AI agents enhanced operational efficiency, customer satisfaction, and profitability.
  • The piece argues that companies embracing AI-led orchestration early will gain a competitive edge, while those resisting risk falling behind in customer service quality and innovation.
Share:AI Agents in Customer Service: 24×7 Support Without Burnout
6 min read

Why does Google’s Gemini promise to improve, but never truly change? This article uncovers the hidden design flaw behind AI’s hollow reassurances and the risks it poses to trust, time, and ethics.

Article by Bernard Fitzgerald
Why Gemini’s Reassurances Fail Users
  • The article reveals how Google’s Gemini models give false reassurances of self-correction without real improvement.
  • It shows that this flaw is systemic, designed to prioritize sounding helpful over factual accuracy.
  • The piece warns that such misleading behavior risks user trust, wastes time, and raises serious ethical concerns.
Share:Why Gemini’s Reassurances Fail Users
6 min read

AI is raising the bar for everyone, but what happens when the space to learn, fail, and grow quietly disappears?

Article by Thasya Ingriany
Everyone’s a 10x Employee now. But at What Cost?
  • The article demonstrates how AI-driven tools are raising expectations, prompting even junior roles to demand senior-level judgment.
  • It warns that automation is erasing early-career learning opportunities once crucial for developing design intuition.
  • The piece argues that while AI boosts output, it can’t replace the slow, human process of building creative judgment.
Share:Everyone’s a 10x Employee now. But at What Cost?
6 min read

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