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Apr 8 •
Activate Your AI Lab Path
This membership is not only for lessons. It also connects to your practical AI lab path through Sell.Systems. To activate that path: https://sell.systems
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Apr 8 •
How This Works
This community works in two layers: 1. Classroom = structured lessons 2. Community = questions, builds, feedback, and progress The goal is simple: learn the build path, use your tokens, activate your practical environment, and keep improving real systems.
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Apr 8 •
Start Here
Welcome to the lab. This is where practical AI system building starts. Your membership is not just for content. It also connects to the practical Sell.Systems path where you can activate your own tools and AI lab server flow using your member tokens. Start here: 1. Register at https://sell.systems 2. Introduce yourself in Introductions 3. Open the first lesson in Classroom
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The first integration should not be the most impressive one. It should be the one that closes a real workflow.
At Build Stuffs #37, I showed Codex CLI operating inside a private Sell.Systems environment with project context, tools and data. The important part was continuity: the task could move beyond an answer and remain inside an observable workspace. A practical pilot can start with one handoff that currently breaks between chat, email, a spreadsheet, CRM, browser work or an internal database. If you could connect only one system first, which handoff would remove the most manual work? Start with one workflow: https://sell.systems/
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Apr 8 •
Start Here: Bring Your First Build to Life
This is the best place to start if you want to stop collecting AI content and start building. In this lesson we bring the environment to life: - terminal setup - Gemini onboarding - first simple Node-RED success After watching, answer this: What is the first system you want to bring to life in your own lab?
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