Over the last few months I’ve been experimenting with “vibe coding” — using AI + no-code tools to compose software fast.What I’ve realised is: the prompt is the real code. A great prompt = a great build. In my latest experiment, I built a clone of a $34M fitness app using only one well-crafted prompt wasn’t luck — it was a simple framework I’ve been refining for writing prompts that actually work for software composition. In this new video I break down: - The exact formula I use to write high-impact prompts for vibe coding - How to structure a prompt so AI tools give you usable, organised output (not chaos) - A live teardown of the fitness app prompt — why it worked and how you can adapt it to your own builds - Common mistakes people make when prompting for app builds (and how to avoid them) If you’re trying to turn ideas into working software without touching traditional code, learning how to “prompt like a developer” is a game-changer. Would love to hear: what’s the most impressive thing you’ve built with a single prompt? —Shubham

Google quietly rolled out Gemini Canvas, and on paper it looks like the next big leap for building with AI.Instead of just reading the release notes, I spent a day pushing it to its limits. I tried three very different builds inside Canvas: - ✅ Cloned Gemini itself in a single prompt (shockingly, it worked almost perfectly) - 🎮 Built a Mario-style game from scratch - 🎙️ Created an audio-transcription tool powered by Gemini AI Here’s what stood out: - How far “one-prompt builds” have come — and where they still break - The kinds of apps Canvas handles well vs. where it struggles - Why this might reshape how we think about “vibe coding” tools going forward I recorded the whole process — successes, dead ends, and surprises — so you can see exactly how it performs without spending hours testing it yourself. If you’ve tried Canvas already, I’d love to know what you built and where it impressed (or disappointed) you. Shubham

Replit just launched Agent 3 and there’s been a lot of hype about how it can build apps automatically.I was curious too — so instead of just reading the launch notes, I put it head-to-head with Lovable and Bolt. I tried three very different builds with each tool: - a full CRM system - a simple game - a landing page I wanted to see, in real scenarios, which one actually delivers. Here’s what I found: - The promises and the reality don’t always match. - Each platform has strengths, but none are “magic.” - Replit Agent 3, in my tests, didn’t come out on top in any of the three builds. I recorded the entire process — successes, failures, and workarounds — so you can see for yourself how each tool performed without spending hours testing them. If you’re evaluating these platforms for your own projects, this walkthrough might save you time Would love to hear: what’s been your experience with these new AI-app builders?

Think about the last time you had to learn something from a textbook or a dense manual. It's tough, right? It's just a wall of text that doesn't care if you're a visual learner, if you learn better by listening, or if you need to see examples to really get it. Well, Google just showed a project called "Learn Your Way," and it completely changes the game. Imagine taking that same boring wall of text and having an AI instantly transform it into a personalized lesson, just for you. It can turn the material into: Simple quizzes to check your understanding as you go. Slideshows with a narrator, like a custom-made YouTube explainer video. Mind maps so you can see how all the ideas connect. Audio lessons that sound like a teacher and student talking it out. Even better, it can explain things using topics you're actually interested in. Imagine learning a tough science concept, but it uses examples from your favorite video game or sport. That's what this does. For us, the builders in this group, this is a huge deal. It's a peek at the kind of stuff we can start creating. We can build tools that don't just throw information at people, but actually teach them in a way that clicks. Think about building a study guide for a subject you love, or creating a training tool for a new job that people don't hate using. The possibilities are endless, and it feels like we're just scratching the surface of making AI genuinely helpful. I'm really fired up about this. What would you build with technology like this? If you want to see it for yourself go here --> https://learnyourway.withgoogle.com/ --- More helpful posts from Ai Titus --> https://www.skool.com/@aititus?g=ai-automation-society&fl=posts

🔥 Recruiters know the pain: You upload a job… then spend hours copy-pasting it on LinkedIn, Indeed, Twitter—while forgetting to track performance. So I built an automation system with n8n: Manual Job Upload → Drop the JD once. AI JD Rewriter → Makes it clean, engaging & job-board ready. Auto-posting → Instantly shares on LinkedIn, Indeed, and Twitter. AI Hashtag Generator → Adds reach-boosting tags. Performance Tracking → Logs in Airtable & Sheets for visibility. ⚡ One upload. Everywhere. Tracked. Optimized. Should I drop a step-by-step breakdown inside the community?