It usually starts with a small annoyance. I wanted local radar without the clutter, so I built Bendar. I wanted an easy way to send myself notes, so I built Talk to Yourself. I wondered how many cities I could name from their lights in a night satellite photo, so I built Geoguess. Give me a “what if” and I’m off to fix it.
At work it’s the same instinct aimed at a company’s noise: dashboards, connectors, and custom software that turn a mess into something people can read. Dashboard, MCP server, or 30-minute documentary, the move underneath is always the same. Take something dense and make it usable for people who don’t care how it works, only that it does.
Projects
Live apps I made because I wanted them to exist, plus the work behind them. A weather radar, a couple of GIS games, a media tracker with its own MCP server, a music project, and more. Most of it runs on Cloudflare, and a lot of it was built from my phone.
Browse projectsBlog
What I’ve figured out, written down so it’s useful to someone else. Shipping an app with Claude Code, GitHub, and a free Cloudflare account. Wiring up MCP servers. Building without a laptop in the room. Plain and step by step, the way I’d explain it to a friend.
Read the blogAbout
A decade making environmental films and data visualizations on the Gulf Coast, now leading the AI work at a law firm, and building constantly on the side because it’s fun. If you’re trying to close the gap between your technical people and everyone else, that’s the work I do best.
More about meI’m Ben Brenner. I lead AI transformation at a law firm, and honestly the job is only half technical.
The other half is translation: taking what’s actually possible with LLMs, automation, and data, and making it make sense to attorneys, marketers, and staff who only care that it works.
I build with Python and TypeScript, lean on Claude Code and Cloudflare’s edge, and run open-source models locally so I can see what’s possible without the API bill. Before software I spent a decade telling stories on film for the Mobile Bay National Estuary Program, the Dauphin Island Sea Lab, and university research labs. That’s where my technical and communication sides first fused, and it still matters to me.
If you’re hiring for AI adoption, enablement, or applied AI, ideally remote and mission-adjacent, that’s the kind of role I’m after.
Got a “what if” of your own, a question, or just want to say hi? I’d love to hear from you.