AI nie je krok č. 1. Najprv zjednoťte dáta a šablóny, zautomatizujte zakladanie priečinkov a tvorbu dokumentov, a až potom pridajte AI na návrhy, sumáre a kontrolu. Článok vysvetľuje štyri vrstvy, ktoré treba upratať, a jednoduchý plán na popoludnie, ktorý šetrí hodiny týždenne.

AI isn’t step one. Standardize your data and templates, automate the foldering and document steps, then add AI for safe drafting, summaries and QA. This article shows the four layers to fix first (fields, templates, structure, flows) and a simple afternoon plan to save hours every week.

💡 I had no idea how to build a full-stack app—until I found this framework.

Before using Brandon Hancock’s Claude 3-Step Workflow, I didn’t know what files I needed, how full-stack development worked, or where to even begin. Thanks to this structured approach, I went from zero knowledge to building and deploying a real Football Team Management App.

This blog post breaks down how I used Claude’s AI capabilities to plan, structure, and build my app from scratch. It wasn’t just about efficiency—it was the reason I could build it at all.

🚀 Read my full journey and how this method can help you too

💡 Building an app is one thing, but making it work in the real world is a completely different challenge.

At 47, with a background in sales and marketing, I never thought I’d develop and deploy a full-stack web app. But with the help of AI, I built a Football Team Management App to solve a real-world problem—organizing youth football teams. While development took just six weeks (~100 hours), deploying it to the cloud was a two-month battle (~150 hours) filled with unexpected challenges.

From debugging database connections to struggling with Cloud Run deployment, this journey was full of frustration, persistence, and hard-earned lessons. Now, in March 2025, the app is live and in use. In this post, I share my experience, key takeaways, and why sticking through deployment struggles is what separates ideas from real-world solutions.