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

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