Academy

AI foundations

The starting course. Four lessons of plain-language groundwork: what AI tools actually do, where they fit in a business like yours, how to bring your team along, and the concrete first steps to take this week. No prerequisites — if you can write an email, you’re ready.

What you’ll be able to do

By the end of this course you’ll be able to:

Explain what large language models do well — summarizing, drafting, analyzing — and where they fail, without the jargon
Run any task through the five-questions framework to decide whether it’s a good AI candidate
Answer the common fears — “AI will replace my job,” “I’m not technical enough” — honestly when your team raises them
Pick your first automation target, measure a baseline, and try the task with AI assistance at least once

Lessons

Work through the lessons in order — each builds on the last.

lightbulb

1. What is AI?What large language models actually do, what they do well, what they cannot do, and the right mental model. 2 min read.

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2. AI for your businessFive questions that surface your best automation candidates, with examples across sales, operations, finance, HR, and marketing. 2 min read.

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3. The transformation mindsetWhy AI adoption is a people project first, the four common fears, and how to address them honestly. 2 min read.

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4. Getting started checklistPractical first steps: set up a tool, pick a target task, establish a baseline, and bring a colleague along. 2 min read.

Time and prerequisites

Total reading time is about 8 minutes. The final lesson is a checklist of actions, not just reading — budget extra time across your first week to work through it.

There are no prerequisites. This is where the Academy begins; every other course assumes you’ve covered this material.

Start with What is AI?