One thing I’ve noticed when working with AI tools and automations is that it’s easy to get excited about what can be automated… and forget to ask whether it should be. A simple filter that helps is this: Does this task happen often enough, and does it create friction or mistakes when done manually? If the answer is yes, automation usually pays off fast. If it’s rare, unclear, or still changing a lot, sometimes it’s better to leave it manual for now. Starting small and intentional often leads to better systems than trying to automate everything at once. What’s one process in your business you’re currently debating whether to automate or keep manual?

One issue I see over and over with business owners trying to use AI is this: they add tools, but nothing actually flows. So they end up with: AI tools that don’t talk to each other Manual steps that should be automated “Smart” systems that still depend on them doing everything More complexity instead of more time AI only creates leverage when it’s connected to a clear business workflow. As a freelancer and problem-solver, what I help business owners do is: Map their real business processes (sales, ops, support, content) Identify where automation actually saves time or money Connect AI tools into simple, repeatable flows Turn scattered tools into systems that work in the background What they get isn’t just automation it’s: Fewer manual tasks Cleaner operations More time to focus on growth Systems that scale without burning them out You don’t need more AI tools. You need AI working inside your business. What part of your business do you most want AI or automation to handle for you right now?

In this video I show you how to recreate a complete AI powered website using n8n and Gemini 3 Pro. The original site only offers a single input field and limited functionality, so I rebuilt the entire system from scratch and extended it into a fully working application. No coding required. You will learn how to use Gemini 3 Pro to generate the full frontend from a prompt, a screenshot, and a workflow file, and then connect everything to n8n so the website can actually run real requests. The workflow handles domain crawling, LLM ranking analysis, API calls, Supabase storage, and returning structured results back to the frontend. The process is simple once you see it. I walk you through every step including how to import the workflow, set up the APIs, configure Supabase correctly, and link the webhook so the UI and backend talk to each other. You end up with a complete working system you can rebuild or extend for your own projects.