Topic: #openclaw

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.

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.

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.