AI

People form an opinion of a product in about 0.05 seconds, before they read a word or click anything. That decision is driven almost entirely by visual cues. Visual design isn’t polish; it’s how trust, clarity, and patience are established before real engagement begins.

AI is reshaping technology, but it hasn’t rewritten human nature. Too many products forget that, relying on manipulative UX patterns that inflate short-term metrics and erode long-term trust. Durable growth doesn’t come from tricking users into sign-ups; it comes from earning their confidence. The next generation of AI tools will win by designing with clarity, transparency, and respect.

Rewriting ~8,500 error messages sounded like a perfect job for our CustomGPT... until it wasn’t. Here’s how the team wrestled with failed experiments, found a better path, and finished the work 4,000% faster than expected using Alteryx GenAI Tools.

Warmth in conversation creates connection. One way to learn how to do it? Borrow a page from ChatGPT’s playbook.

As internal CustomGPTs flood the workplace, many go unused: not because they aren’t useful, but because they’re poorly integrated into real workflows. In this post, Elizabeth Benker explores why UI ≠ UX, shares a practical framework for tool adoption, and offers actionable advice to help your AI tools actually get used.

This recommendation appeared in my LinkedIn Notifications feed today. And in my case, the suggestion is spot-on. I've been a huge LeVar...