Dashboards don't have to be silent. Data doesn't have to be visual. Monitoring doesn't have to mean staring at screens. I spent Thanksgiving weekend teaching Azure AI to turn JSON files into NPR-style executive briefings—and you can too. Here's what happened when a designer with "low-to-mid coding skills" decided to make data talk.

What began as a simple frustration with content errors in PRs turned into my first VS Code extension, a GitHub workflow, and a week of intense learning. This project pushed me outside my comfort zone and taught me how much impact a designer can have when they step into developer tooling.

The best AI-assisted design work doesn’t look like it came from AI- because it didn’t. It came from you a person who used AI as a tool, with a purpose.

How a 7 AM idea became a working prototype to connect donors with at-risk NPR stations.

Tools like Figma Make — an AI-driven concept generator built into Figma — let you translate design intent into wireframes and prototypes in seconds.

Ever shipped a typo to production? I have. After manually auditing UI content one too many times (and still missing issues), I built an AI-powered tool that does it automatically. My Figma Content Scraper extracts every text string from your designs, analyzes them with Azure OpenAI, and flags issues like honorifics, spelling errors, inconsistent plurals, and buttons with too many words. In my test run, it found 19 issues across 208 strings in 30 minutes—work that would've taken me 4-6 hours manually.