Stay in healthcare.
Build its future.

No. The method uses vibe coding: you guide an AI in natural language, with ready-made prompts loaded with your project’s context. Some activities may involve code, but you don’t need to become a developer — you don’t have to build the entire engine to drive the car better. You need to understand enough not to be a passenger in your own career.

Yes. The tutorial lessons in each module start from absolute zero, explaining the fundamentals in plain language. The free learning tracks complete the foundation — at your own pace.

Fully hands-on. The learning tracks sketch the theory; inside the workflow, tutorial lessons reinforce the essentials right when you need them — giving you the autonomy to apply the prompts, understand what you are doing and iterate when necessary.

The one you already use. All.flow is BYOC (bring your own AI): the platform generates the prompts, you copy them into Claude, GPT, Gemini or any LLM of your choice and bring the result back. No AI subscription bundled in the middle.

Yes. That is exactly what M2 — AI Prototyping — delivers: your MVP built with security and data-protection best practices, ready to be tested with real users.

Almost — and this honesty matters. For personal projects with no commercial ambitions, the prototype is often close to the final product. When the goal is to actually found a startup, the most decisive moment of the workflow is M1: that is where the founder gathers the tools to decide whether to advance, pivot or abandon the idea. The following modules guide the journey toward an operating startup, but entrepreneurship is a profession of its own, with more misses than hits — and in healthcare the barriers are even higher. The network, the contact with hubs, hackathons and grants, and the constant learning inside the community are what make first-time solo founders thrive as healthtechs.

Today, you start for free. At the official launch, the program will cost R$ 29.90/month — the price of a snack. The goal is to be accessible, but with depth: there is a huge difference between consuming loose content on YouTube and following a track with direction, context and applicability. The learning tracks (M0) remain free forever.

No. No identifiable health data enters the platform, AIs or connected documents — that is a non-negotiable principle. The method teaches you to work with de-identified data from the very first interview.

No — keep doing what you love. If you love seeing patients, operating and moving forward in your specialty, great: the point is not to pull anyone out of medicine. At the very least, you will discover talents, paths and possibilities you may not have seen yet. Sometimes AI doesn’t come to change your profession — it comes to widen your view of what you already do. And if you already have an established specialty and practice, it’s worth even more: clinical repertoire is the scarcest raw material in health innovation.

Yes. All.flow was also designed for healthcare students who want to learn product, business and AI by doing — and graduate with a real portfolio before the diploma.

No. All.flow is educational: it teaches product method and responsible AI use. It does not replace clinical training, nor legal, regulatory or investment advice.