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This course turns the way your firm works into reliable, repeatable AI Apps. It is built for the people who design Apps: the part of the team that encodes a methodology once so everyone runs it in minutes. You don’t need to be technical, but you do need to know the work. The Academy covers the handful of design decisions that decide whether an App holds up: how data reaches each block, how to write prompts that hold up across runs, and how to keep the output identical every time.

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What you’ll learn

How an AI App works

The multi-block pipeline, and the three things that decide quality.

Key concepts

The shared vocabulary every prompt and design discussion relies on.

User inputs

Collecting clean inputs from the people who run your App.

Knowledge Sources

Inline vs. Knowledge Source, and Brains vs. uploads: how a block knows what it knows.

Passing data between blocks

Routing the hand-offs between blocks, and how to get them right.

Prompting

The standard prompt template and the ten rules that matter most.

Output format

Engineering the same layout on every run.

Prototyping with AI

Go from idea to working prototype in minutes with the built-in assistants.

Dos, don'ts & checklist

The fundamentals on one page, plus a pre-launch checklist.

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How to use it

Read it in order the first time: each section builds on the one before. After that, the Dos & Don’ts and pre-launch checklist work as a standing reference you return to before every launch.
Ship one real App first. Pick one recurring, high-value workflow and put it into an App. Learn the rules here, then apply them to work you already do every week.
Start with How an AI App works, or jump straight into the no-code builder.