From Idea to App: The Whole PM Workflow in Google AI Studio

Most people point AI at the code. Yana points it at the whole job.

Yana Yushkina, Group Product Manager at Google, starts with nothing. Live, she writes the requirements, builds a set of personas and runs a user study against them before a single real user exists, folds what she learns back into the plan, builds the pitch deck she would actually take to a VP, and then builds the app, all inside Google AI Studio. Four artifacts, one session, screen shared the entire time.

No theory. You follow along and leave with a workflow you can run on your own product.

What you'll walk away with:

1. Requirements first, even when the build takes minutes. When shipping gets this fast, writing the spec feels like the step you can skip. It's the step that saves you from rebuilding the same thing twice.
2. A user study you can run before you have a single user. Personas you generate yourself don't replace real research, but they expose the obvious gaps while the plan is still cheap to change.
3. The pitch as part of the product, not an afterthought. Building it is half the job when someone else controls the budget. Yana makes the deck in the same sitting as the app.