The NYC Parking Permit for People with Disabilities (NYC PPPD) is issued to individuals with permanent disabilities that significantly limit mobility, allowing on-street parking throughout New York City, including in certain 'No Parking' zones.
When I moved in here it truly was my last resort. Since living here I feel like I have the same independent life that my friends have and I just don't want to lose that. The guide dog run is probably the most important thing for me. It's a safe and confined area where I feel comfortable taking my dog out, especially at night.
Here's the sad truth about sports score apps: Most of them aren't all that interested in actually telling you the score. After all, where's the money in providing straightforward information like that? The modern sports score app has to do more. It must bombard you with banner ads and betting odds, implore you to create an account and opt into notifications, sell you some tickets, and show some videos to keep engagement up. The scores themselves are an afterthought.
Google credits security researcher Shaheen Fazim with reporting the exploit to Google. The dude's LinkedIn says he's a professional bug hunter, and I'd say he deserves the highest possible bug bounty for finding something that a government agency is saying "in CSS in Google Chrome before 145.0.7632.75 allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page."
In 2003, when plumbing fixtures industry veteran Rob Buete first encountered the "walk-in tub" made by a startup called Safety Tub, he burst out laughing. A bathtub with a door? It seemed like a joke, or at best a clunky contraption for frail seniors who couldn't step over a regular tub. Kinya Seto is the CEO of LIXIL, the global manufacturer of pioneering water and housing products, including brands such as GROHE, American Standard, INAX, and Tostem.
Performance is a critical factor in user engagement, where even minor delays in loading can deter users. A clean and simple user interface also contributes significantly to user retention.
Algorithms can now transcribe meetings in real time, translate across languages instantly, summarise dense reports in seconds, and generate content tailored to different reading levels. For many users, these are not just productivity gains. They are meaningful improvements in access, sometimes the difference between participating fully and struggling quietly on the margins. Voice interfaces reduce reliance on complex forms. Automated captions support participation in live conversations. Generative tools can rephrase technical or academic language into something clearer and more digestible.
Ana proposed the following: Is this enough in 2026? As an occasional purveyor of the visually-hidden class myself, the question wriggled its way into my brain. I felt compelled to investigate the whole ordeal. Spoiler: I do not have a satisfactory yes-or-no answer, but I do have a wall of text!
My role was straightforward: write queries (prompts and tasks) that would train AI agents to engage meaningfully with users. But as a UXer, one question immediately stood out - who are these users? Without a clear understanding of who the agent is interacting with, it's nearly impossible to create realistic queries that reflect how people engage with an agent. That's when I discovered a glitch in the task flow. There were no defined user archetypes guiding the query creation process. Team members were essentially reverse-engineering the work: you think of a task, write a query to help the agent execute it, and cross your fingers that it aligns with the needs of a hypothetical "ideal" user - one who might not even exist.
Autonomy is an output of a technical system. Trustworthiness is an output of a design process. Here are concrete design patterns, operational frameworks, and organizational practices for building agentic systems that are not only powerful but also transparent, controllable, and trustworthy. In the first part of this series, we established the fundamental shift from generative to agentic artificial intelligence. We explored why this leap from suggesting to acting demands a new psychological and methodological toolkit for UX researchers, product managers, and leaders.