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learn.it

AI education that adapts to who you are and what you're building.

Work profile-based AI training delivered by leading practitioners in the field. Three profiles, same core curriculum, differentiated discussion angles.

AL Rigs Knowledge Labs

Discuss | Learn | Break | Rebuild - Our practical AI Labs methodology.

These are not classes or courses - these are brilliant AI minds sitting around a table. And you are invited.

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We learn as much from you as you do from us.
Only rules: respect.it & show.it (don't just talk.it)

No package lock-in. No scheduling conflicts. Frictionless.
$200 per session per participant.

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AI for Revenue Generators

Your CEO says "get AI working." Most implementations miss 30-40% of the upside.

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AI is not a cost-cutting tool. It's a revenue engine. From AI-supported decisions to AI-identified opportunities to payment.

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What you'll build across 5 sessions:

  • Your AI revenue operating model — not dashboards, actual pipeline impact

  • AI-driven pricing, discounting, and demand signals

  • Opportunity identification — leads AI finds that humans miss

  • Decision velocity — faster cycles from signal to close

  • Full-funnel integration — from AI insight to Stripe

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Expect to walk away with a working revenue model powered by AI. This isn't futurism. It's P&L discipline applied to AI.

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AI for Founders

Most AI advice is either hype or enterprise playbooks that don't fit your stage.

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AI is not a feature. It's architecture. Get it wrong and you'll waste 18 months and $500K+ on the wrong foundation.

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What you'll build across 5 sessions:

  • Your AI-native company architecture — not theory, your actual operating model

  • Go-to-market with AI — positioning, pricing, narrative that converts

  • Unit economics that work when AI is your core

  • Funding narrative — what investors actually want to hear

  • Scaling roadmap — goodbye linear growth, hello exponential
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Expect to walk away with a clear architecture and execution roadmap for your company. This isn't magic. It's first principles applied to AI-native building.

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AI for Technologists

Most AI education is vendor marketing or academic theory. Neither helps you ship.


Business AI is not consumer AI. Commercial outcomes, not demos.


What you'll build across 5 sessions:

  • Your department's AI operating model — not a framework, your actual model

  • Model selection and deployment (SLM/LLM/foundation models)

  • Vector databases, RAG architecture, context management

  • Governance and traceability across production systems

  • Platform integration — seamlessly with your current investments
     

Expect to walk away with a working model for your department. This isn't rocket science. It's engineering discipline applied to AI.

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