Join me live today at 12 noon to build a content repurposing AI automation in n8n Link to join here : https://www.youtube.com/live/JBRAJiKf82I?si=Ja-3Lqwypl8vPM3n

Most people use ChatGPT like a simple chatbot — but it has evolved into something far more powerful. In this video, you’ll discover 4 powerful ChatGPT features hiding in plain sight that can completely change how you use AI. You'll learn how to edit images directly inside ChatGPT, build Custom GPTs, organize work with Projects, and automate tasks with Agent Mode. These features turn ChatGPT from a basic Q&A tool into a powerful AI productivity system for creators, entrepreneurs, and developers. If you’ve only been asking ChatGPT questions, you’re missing out on tools that can help you create content faster, automate workflows, and manage complex tasks with AI.

This Saturday I’m going live teaching how to repurpose one piece of content into multiple pieces for various social media platforms using n8n. You can join in at this link.

In this video, I break down the best AI-powered vibe coding tools that let you build software using plain English prompts instead of traditional coding. After building a real AI-based application myself using natural language, I’ve spent months testing and comparing these platforms — and today I’m sharing my honest experience with each one. You’ll learn which tools are ideal for full-stack builders, which are perfect for rapid prototypes, and which shine for UI generation. I walk through tools like Cloud Code, OpenAI Codex, Google Antigravity, Replit, Lava Ball, Bolt, Bubble, Base44, Kesa, and V0/Vessel, explaining what they’re good at, where they fall short, and who should use them. Whether you're a developer, entrepreneur, creator, or beginner exploring AI-assisted development, this guide will help you choose the right tool for the right job — and avoid the frustration of using the wrong one.

I built adesua.ai … and I didn’t write a single line of code. Not one. Every feature. Every screen. Every workflow. All built through prompts describing what I wanted the app to do. And honestly… as someone with a 4-year computer engineering degree, this still blows my mind. For years, building a full-stack application meant: • Setting up environments • Writing hundreds or thousands of lines of code • Debugging for hours • Stitching together front-end, back-end, and infrastructure Now? You can describe the system you want… And AI can help generate, structure, and ship it faster than ever. That doesn’t mean software engineering knowledge is useless. Far from it. Understanding architecture, product design, user flows, and system logic still matters a lot. But the speed of execution has changed dramatically. The bottleneck is no longer just coding. It’s thinking clearly about the product you want to build. So I decided to record a full course showing how this actually works in practice. In the course I walk through how to: • Use Claude Code to build a full-stack application • Turn product ideas into working features using prompts • Structure prompts so AI produces usable code • Move from idea → working app much faster than traditional workflows If you’ve ever wanted to build an app but felt blocked by the coding barrier, this might change how you think about what’s possible. Here’s the course: https://lnkd.in/e_fX3M6y PS - you can also join my 6 week vibe coding accelerator here: https://www.adesua.ai/vibe-coding-accelerator