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- June 26, 2025
- Agentic AI, Artificial Intelligence, Conversational AI, User Experience
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.
- 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.
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- June 26, 2025
- AI Alignment, AI Ethics, AI Transparency, Artificial Intelligence, Google Gemini, Human-AI Interaction, LLM, Machine Learning, Product Design
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.
- 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.
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- June 24, 2025
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- June 23, 2025
- Artificial Intelligence, Product Design, UI Design, UX Design
AI is raising the bar for everyone, but what happens when the space to learn, fail, and grow quietly disappears?
- 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.
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- June 19, 2025
- AI Ethics, AI in UX, Artificial Intelligence, ChatGPT, Design Thinking, Design Tools and Software, Human-Centered Design, LLM, Research Methods and Techniques, UX Research
Mashed potatoes as a lifestyle brand? When AI starts generating user personas for absurd products — and we start taking them seriously — it’s time to ask if we’ve all lost the plot. This sharp, irreverent critique exposes the real risks of using LLMs as synthetic users in UX research.
- The article explores the growing use of AI-generated personas in UX research and why it’s often a shortcut with serious flaws.
- It introduces critiques that LLMs are trained to mimic structure, not judgment. When researchers use AI as a stand-in for real users, they risk mistaking coherence for credibility and fantasy for data.
- The piece argues that AI tools in UX should be assistants, not oracles. Trusting “synthetic users” or AI-conjured feedback risks replacing real insights with confident nonsense.
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- June 17, 2025