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Become more valuable in the AI economy.

Nine topics. Each starts with a guide and connects to articles, faculty videos and the next step: building something real.

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Designing, building and operating the systems that turn attention into revenue — traced backwards from the money.

The technical side of go-to-market: data, enrichment, automation and AI applied to how companies find, win and keep customers.

Workflows, AI agents, systems thinking and what it means to work AI-native.

Using Clay for data enrichment, signals, scoring and outbound — explained through real GTM architectures.

Using n8n to connect systems, run AI workflows and move revenue work without manual steps.

The roles the AI economy is creating, the skills they require and how to become more valuable in them.

Proof of work, portfolios and the path from learning to earning.

How to find, win and keep remote work with international companies — especially from Latin America.

Purpose, prioritization and continuous improvement — tied to the skills and outcomes that raise your market value.