What if you could pinpoint exactly where your website loses potential customers—and, more importantly, where to focus your efforts to win them back? That’s exactly what the Website Conversion Enhancement Calculator was built to do. This simple yet powerful tool helps teams take the guesswork out of conversion optimization and focus on what will move the needle.

Some time ago, my wife and I were planning a trip to France and Italy for our family (mostly my wife because she’s just awesome), and I was doing the DevOps Director thing, blissfully unaware of the impactful changes that AI would soon have on my emotional state, my existential complacency, and my hope for an abundant future.

AI can be transformative, but it can also fail spectacularly if user experience and real-world needs aren’t top priorities. Sometimes, the biggest danger is what you don’t see: overconfidence in AI’s novelty, untested assumptions, and a fuzzy plan for how users will adapt. Below, we’ll explore the six biggest ways AI projects go off the rails, along with strategies to mitigate risk and apply a rigorous process to your next AI initiative.

Angular 19 brings some exciting improvements—Event Replay, zoneless states, and most notably, linkedSignal. Of all the new features, linkedSignal stands out as a clear evolution of Angular’s reactivity model. It’s fast, intuitive, and drastically cuts down boilerplate while boosting performance. To me, it represents peak Angular—powerful, performant, and simple to use.

Artificial intelligence (AI) is transforming businesses of all sizes, with AI agents driving advances in automation, decision-making, and actionable insights. As the global AI agent market grows, many business leaders struggle to turn AI potential into tangible outcomes. Without a clear strategy, achieving value from AI projects can be a challenge.

In fast-paced development timelines, teams are often forced to skip critical steps in the design process. Unfortunately, user testing is one of the most commonly omitted steps. In an effort to save time in the short term, significant usability issues often arise, requiring more time to correct them in the long run.

CMSs are a sensible technology that allows development and production teams to contribute to a site to the best of their ability. Payload CMS is a newer option with version 1.0 having been released in 2022, and brings several desirable features for fluid development workflows. As a dev who has previously architected a Contentful-backed solution, I thought it would be interesting to compare that previous experience with how I might create a similar, reliable dev workflow in Payload.