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.

Figma Content Scraper is an AI-powered tool that helps UX writers, designers, and content teams audit their Figma designs for consistency and quality. It automatically extracts all text from your Figma files, analyzes each string using Azure OpenAI to identify issues like honorifics, spelling errors, placeholder text, and tone inconsistencies, then generates color-coded Excel reports sorted by severity. Built with security in mind, the tool never exposes your API credentials and includes comprehensive protection against accidental secret commits—making it safe for public repositories and team collaboration.