Hey AIS fam, Good news and bad news. The good news, our community just hit #1 in the Tech category and #2 overall on Skool out of more than 175,000 communities! That’s incredible and a huge credit to all of you. The bad news is that with the growth, we’re seeing more spam, self-promotion, and discussions that aren't focused on AI or automation. Please help us keep this space clean and valuable by reporting any spam or self-promotion you see. Our admin team will take care of it quickly. This community is growing because of you, your engagement, questions, and support for one another. Let’s keep building a safe, focused space to learn and grow together. Cheers, Nate

Hi again, this is G again. It has been a while ... like 4 months since I last used Skool...Hehe! Life happened. Anyway, back to sharing how to, ai learnings, tool discoveries here again. Just sharing a recent build I’m still a bit surprised by myself. I created a working web app in a single day using Google Ai Studio. I wanted to build something simple for local shops or sari-sari stores in the Philippines to manage customer credit. For those who are not familiar, the Philippines has a very big underground economy in the form of like local stores which we call "tindahan" or " sari-sari" stores, They are like mini groceries which sell from food, household stuff, laundry detergents, snacks, etc. Culturally. we value relationships a lot to the point we allow people purchasing on credit. NO not with credit card. But we just say, "pa lista po Ate" which means "please include this in my IOUS. 😅 - No tedious bank verification - No exchange of personal info - No complicated papers This the kind where trusted people say, “Ill pay you next in my next salary.” Now you get how open to abuse this is. And how totally unreliable because everything is done manually via a notebook. So I vibe coded a simple app called ListaKo (which means "I will write it down") that helps shop owners keep track of those got good but will pay later. It also uses AI to generate kind and respectful payment reminders. Plus I added a suggestion section for simple loyalty rewards to strengthen community ties. What excited me here is after getting all the functions running, it was setting up the database. Anyway. so how I built it... This was pure vibe coding. I told Google Gemini via Ai Studio what I wanted, how I wanted it to feel, what kind of people would use it. The AI then became the engineer. Here’s what happened: 1. I explained the problem and the vibe. 2. Gemini generated a React + TypeScript frontend using local storage. 3. I asked to switch to a real backend. 4. It recommended Firebase, and walked me through everything—setting up tools, writing the code, fixing errors, deploying.