A collection of 14 posts about ai.
We shipped RepoRadar in four hours at the AI Tinkerers SF Generative UI Global Hackathon: a radar that ranks trending GitHub repos, then an agent deploys a working micro-app for any of them at its own subdomain. Here's what we built, how it works, and how to grab it.
Cloudflare and Stripe shipped an agent provisioning protocol last week that lets autonomous agents create accounts, register domains, and deploy production code. I work at Cloudflare. Here's why this is the announcement I keep coming back to.
There's a new agent product announcement every other day. Nate B Jones gave me a way to triage them in 30 seconds. I'm using it.
Cloudflare ran Agents Week last week. I work there, and even I needed a second pass to absorb the scope. Four announcements actually change how I'd architect a personal agent stack today.
Matthew Berman has spent 2.54 billion tokens learning what OpenClaw is actually for. The list of 21 use cases is interesting. The decision underneath is more interesting.
My friend Vic is a C++ programmer who teaches people how to maximize credit card points. He had an idea. We sketched it on paper for ten minutes, then built the prototype in thirty-five.
Matthew Berman's framing in his March OpenClaw tutorial reframed how I think about my agent. Hope isn't a script I run. She's someone I onboarded.
Alex Finn's case for running OpenClaw on local hardware is right. His specific model recommendation isn't, if you're on the base Mac Mini I'm running. Here's what fits and what to use instead.
Everyone's arguing about which model is smartest. The real game is being played across three layers - and the most interesting one is the one nobody's talking about.
The AI builder community is doing something rare - actually helping each other. From open-source tools to strangers encouraging you to start a channel. Here's why that matters.
Most people use AI as a chatbot. I run autonomous agent fleets that build, trade, research, and create while I sleep. Here's why the multi-agent approach changes everything.
25 years in solutions engineering taught me how to solve problems at scale. Now I'm applying that same thinking to building AI-powered products.
Everyone debates which model is smarter. The real constraint that determines what AI agents can actually do? The context window.
Hudson and I built Moder.fun together. It's not about the product - it's about showing kids they can build anything.