I’ve been testing 𝗟𝗼𝘃𝗮𝗯𝗹𝗲, 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗜 𝗦𝘁𝘂𝗱𝗶𝗼, 𝗮𝗻𝗱 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗻𝘁𝗶𝗴𝗿𝗮𝘃𝗶𝘁𝘆 these days, and I had to share this because… wow. People compare them as if they were the same thing, but each one plays a completely different sport. Here’s my honest take — no fluff. 💙 𝗟𝗼𝘃𝗮𝗯𝗹𝗲: 𝗽𝘂𝗿𝗲 𝘀𝗽𝗲𝗲𝗱 𝗳𝗼𝗿 𝗽𝗲𝗼𝗽𝗹𝗲 𝘄𝗵𝗼 𝗱𝗼𝗻’𝘁 𝗰𝗼𝗱𝗲 Lovable is that friend who tells you: “Relax, just describe what you want and I’ll build the app for you.” If you don’t have a tech background or you need to validate an idea fast, it’s perfect. Why it shines: - ridiculously fast MVPs - simple apps without touching code - you can export the project later for real dev work - Its limit: when logic gets complex, Lovable starts to sweat. 👉 𝗜𝗳 𝘆𝗼𝘂𝗿 𝗴𝗼𝗮𝗹 𝗶𝘀 𝘁𝗼 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗲 𝗼𝗿 𝘀𝗵𝗶𝗽 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘀𝗶𝗺𝗽𝗹𝗲 𝗳𝗮𝘀𝘁, 𝗟𝗼𝘃𝗮𝗯𝗹𝗲 𝘀𝗮𝘃𝗲𝘀 𝘆𝗼𝘂. 🤖 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗜 𝗦𝘁𝘂𝗱𝗶𝗼: 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗵𝗲 𝗔𝗜 𝘁𝗼 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗱𝗼 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘂𝘀𝗲𝗳𝘂𝗹 AI Studio feels like: “I want to build something with AI, but I don’t want to jump into a full IDE yet.” Great for people who have a bit of technical background and want more serious prototypes: chatbots, workflows, logic, small tools powered by AI. Where it shines: - experimenting with Google’s models - building AI-powered features - quick prototyping for ideas that depend heavily on AI 👉 𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗺𝗶𝘅𝗶𝗻𝗴 𝗰𝗼𝗱𝗲 + 𝗔𝗜, 𝗔𝗜 𝗦𝘁𝘂𝗱𝗶𝗼 𝗶𝘀 𝗮 𝘃𝗲𝗿𝘆 𝘀𝗼𝗹𝗶𝗱 𝗺𝗶𝗱𝗱𝗹𝗲 𝗴𝗿𝗼𝘂𝗻𝗱. 🚀 𝗔𝗻𝘁𝗶𝗴𝗿𝗮𝘃𝗶𝘁𝘆: 𝗚𝗼𝗼𝗴𝗹𝗲 𝘀𝗵𝗼𝘄𝗶𝗻𝗴 𝗵𝗼𝘄 𝘄𝗲’𝗹𝗹 𝗯𝘂𝗶𝗹𝗱 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗶𝗻 𝟮𝟬𝟮𝟱 This is where my brain exploded. Antigravity is not an editor. It’s a 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗮𝗴𝗲𝗻𝘁𝘀 that actually work for you: they plan, generate structure, install deps, write code, debug, document, test… while you direct the whole thing. What you can do here: - complete apps with backend + frontend - multiple agents working in parallel (one builds, one fixes, one optimizes…) - integrated browser that tests your own app - support for Gemini 3 Pro, Claude Sonnet 4.5 and GPT-compatible models This is no longer “AI helps you”. This is 𝗔𝗜 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝘀𝗶𝗱𝗲-𝗯𝘆-𝘀𝗶𝗱𝗲 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂.

I see a lot of smart, motivated people join this community every day. But many still struggle to turn AI skills into steady income. From my experience, it’s rarely a matter of lacking tools or knowledge. It usually comes down to this: - Trying to do too much for too many people - Chasing “cool” AI instead of useful automation - Having unclear offers - Wanting to build an agency before securing cash flow What actually works: - One clear problem - One type of business - Simple, boring automations that solve real pain - Consistent daily outreach - Focus on trust and delivery first - Direct Fulfillment AI doesn’t pay. Outcomes do. What’s the hardest part for you right now, finding clients, defining your offer, or staying consistent? Let’s talk. Do you like this personality?