Episode Summary
In Episode 3 of the AI Builders Roundtable, the conversation jumps right into deployment.
Craig, Greg, and Derrick break down what it actually looks like to run AI agents inside real companies - from shipping production code with Cursor to publishing crowdsourced sports data on-chain, to experimenting with autonomous bots that learn in public.
This isn’t a hype conversation. It’s builders comparing notes while actively rewiring their businesses around AI-native workflows.
The throughline:
The interface is changing. The architecture is changing. The buyer may not even be human anymore.
Key Topics
Why founders can’t afford to “wait and see” on AI
Edge models vs. cloud models - and why local compute is resurging
OpenClaw, Claude Code, GLM, and the new agent toolchain
Publishing data to blockchain as an AI settlement layer
Turning APIs into agent-friendly microtransactions
How AI compresses feedback loops inside product teams
SEO in a world where agents, not humans, query first
Building for networks vs. building for agents
