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DeepAgent Redefines Autonomous AI: One Prompt, Infinite Possibilities DeepAgent by Abacus AI just redefined what’s possible with autonomous AI. Instantly build websites, create videos, generate PowerPoint decks, or even launch fully monetized SaaS apps—all from a single prompt. This is next-level, end-to-end AI automation, now available to everyone. What...

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15,876 views • 1 year ago •via X (Twitter)

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Most AI app builders can generate a prototype. The real question is: Can they generate something you can actually launch? I recently explored MeDo, an AI-powered full-stack app generation platform that goes beyond just creating a frontend. With a single prompt, it can generate the frontend UI, backend logic, database structure, and plugin integrations. All in one workflow, without requiring coding or deployment experience. What stood out to me is the focus on building real products rather than simple demos. Whether you're creating SaaS tools, internal dashboards, e-commerce applications, games, or business automation tools. the goal is to move from idea → working product as quickly as possible. A few notable features: ✅ Full-stack generation from a single prompt ✅ Plugin ecosystem with integrations like Stripe and AI tools ✅ Auto bug-fixing capabilities ✅ Website cloning from screenshots ✅ Built-in UI enhancement options ✅ Marketplace of ready-made apps you can customize The AI app builder space is becoming increasingly competitive, and platforms are starting to differentiate themselves based on how close they get to a production-ready result rather than just generating code. For builders, founders, and creators exploring no-code AI development, it's an interesting category worth watching. Try it today and launch your next project with just a prompt:
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2,497,860 views • 1 year ago

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How to launch a working AI product in under 10 minutes. All you need is Appy AI and a clear idea. (Here’s exactly how it works 👇): Step 1: Go to Think of it as your personal AI engineer. Step 2: Type your idea “Create an AI Agent that turns daily AI news into ready-to-post content.” Step 3: AppyAI gets to work It builds the logic, creates your website, connects Stripe, and sets up tools. Step 4: Preview and launch Your product is live ready to sell instantly. Step 5: Share it with your audience You now own a complete AI product. Most people still build the old way. Endless back-and-forth with developers. Weeks wasted on setup and testing. Appy AI changes that. Describe your idea once it builds everything for you. Try now: Repost ♻️ to help others start building.

Muhammad Ayan

61,441 views • 7 months ago

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Aakash Kanojiya

20,931 views • 1 year ago

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Matt Loszak

16,293 views • 1 month ago

I built a fully functional app in minutes — without writing a single line of code. With Replit, I just described what I wanted in plain English, and the app came to life almost instantly. My AI tool now takes care of: ✅ Data handling ✅ AI-powered logic ✅ Clean, usable UI Start building here: And it’s not limited to content tools. With a single prompt, you can spin up things like a unit converter with inputs, selectors, instant results, copy actions, and history — fully working in minutes. Why I’m a fan of Replit: 🚀 Build by describing, then iterate fast. 🚀 300+ AI models in one place. 🚀 Build, collaborate, and ship from one platform. 🚀 Integrates with Drive, Dropbox, Notion, Slack 🚀 Works seamlessly on desktop and mobile No setup. No code. Just ideas → real apps.
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Ajay Sharma

62,646 views • 7 months ago

WorkOS: The Enterprise Stack for the AI Era AI companies are just B2B SaaS with a new engine. They monetize like SaaS, sell like SaaS, and scale into the enterprise like SaaS. The difference is velocity. These new products grow so fast that the old playbook of “PLG for years, enterprise later” simply does not work anymore. PMF is no longer enough. Winning your market requires crossing the Enterprise Chasm almost immediately. Enterprise auth, provisioning, RBAC, compliance, billing, IT integrations. If you wait, someone else takes your market while you are still wiring SCIM. This is why WorkOS exists. We give developers the infrastructure they need to scale up-market on day one. Even if you have never touched WorkOS, you have already used it through products like ChatGPT, Perplexity, Cursor and many others. Today we operate 81M+ enterprise user accounts, 67M API calls per day, and 38K+ connected enterprise environments. Modern AI tools already run through WorkOS. At ERC, we unveiled six major launches expanding that foundation for the AI era: • AuthKit for ChatGPT Apps: secure OAuth + MCP so developers can connect real enterprise data to 700M+ weekly ChatGPT users. • AuthKit for Platforms: embed full enterprise identity into frameworks like Supabase and Convex for zero-friction onboarding. • Stripe Usage Sync: actual per-seat billing with no glue code. Data stays consistent and invoices are always correct. • WorkOS Pipes: the fastest and most secure way to ship integrations (Salesforce, Slack, Intercom and more). • Agent-Ready API Keys: scoped, revocable keys designed for both developers and autonomous agents. • WorkOS Studio: vibe coding for the enterprise. A collaborative AI app builder with SSO, SCIM, RBAC, audit logs, workflows and third-party connectors built-in. Internal software at the speed of a prompt. AI has already changed how software gets created. The next shift is changing what software becomes. We are still “filming the play” like early cinema: using new technology to recreate old patterns. The opportunity ahead is to invent entirely new applications that only AI-native development makes possible. WorkOS is building the enterprise infrastructure that lets teams design the next era of software itself. Enterprise-ready AI is where the real acceleration happens. Let’s build that future together.
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WorkOS: The Enterprise Stack for the AI Era AI companies are just B2B SaaS with a new engine. They monetize like SaaS, sell like SaaS, and scale into the enterprise like SaaS. The difference is velocity. These new products grow so fast that the old playbook of “PLG for years, enterprise later” simply does not work anymore. PMF is no longer enough. Winning your market requires crossing the Enterprise Chasm almost immediately. Enterprise auth, provisioning, RBAC, compliance, billing, IT integrations. If you wait, someone else takes your market while you are still wiring SCIM. This is why WorkOS exists. We give developers the infrastructure they need to scale up-market on day one. Even if you have never touched WorkOS, you have already used it through products like ChatGPT, Perplexity, Cursor and many others. Today we operate 81M+ enterprise user accounts, 67M API calls per day, and 38K+ connected enterprise environments. Modern AI tools already run through WorkOS. At ERC, we unveiled six major launches expanding that foundation for the AI era: • AuthKit for ChatGPT Apps: secure OAuth + MCP so developers can connect real enterprise data to 700M+ weekly ChatGPT users. • AuthKit for Platforms: embed full enterprise identity into frameworks like Supabase and Convex for zero-friction onboarding. • Stripe Usage Sync: actual per-seat billing with no glue code. Data stays consistent and invoices are always correct. • WorkOS Pipes: the fastest and most secure way to ship integrations (Salesforce, Slack, Intercom and more). • Agent-Ready API Keys: scoped, revocable keys designed for both developers and autonomous agents. • WorkOS Studio: vibe coding for the enterprise. A collaborative AI app builder with SSO, SCIM, RBAC, audit logs, workflows and third-party connectors built-in. Internal software at the speed of a prompt. AI has already changed how software gets created. The next shift is changing what software becomes. We are still “filming the play” like early cinema: using new technology to recreate old patterns. The opportunity ahead is to invent entirely new applications that only AI-native development makes possible. WorkOS is building the enterprise infrastructure that lets teams design the next era of software itself. Enterprise-ready AI is where the real acceleration happens. Let’s build that future together.

Michael Grinich

37,894 views • 8 months ago

What if you could build an AI World like this in just 5 minutes? ⚡️🌎 Our intern built this Roblox Castle Scene in under an hour using NeuralAI, starting with a map template and generating props, food, trees, a character, and even an animal to bring it to life. The result? A fully AI-enhanced scene full of charm, detail, and creativity. But here's the real shift: That took about an hour using $NEURAL assets. With World Engine, you'll soon be able to create entire AI-powered worlds like this in just 5 minutes using natural language prompts. No complex tools. No dev skills. Just ideas brought to life instantly. World Engine is coming. Get ready.
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What if you could build an AI World like this in just 5 minutes? ⚡️🌎 Our intern built this Roblox Castle Scene in under an hour using NeuralAI, starting with a map template and generating props, food, trees, a character, and even an animal to bring it to life. The result? A fully AI-enhanced scene full of charm, detail, and creativity. But here's the real shift: That took about an hour using $NEURAL assets. With World Engine, you'll soon be able to create entire AI-powered worlds like this in just 5 minutes using natural language prompts. No complex tools. No dev skills. Just ideas brought to life instantly. World Engine is coming. Get ready.

NeuralAI

55,977 views • 1 year ago

This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:
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This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:

The Bugged Dev

100,042 views • 9 days ago

The shift from Copilot to Autopilot is happening now. This is the Agentic Frontier, and while 82% of leaders are investing in it, most are not ready. Why? Because they're stuck in Phase 1 (AI Assistants) while the winners are already building for Phase 3 (Human-Led, Agent-Operated) operations. The gap between pilot and production is where most AI initiatives die. It's not a tech problem. It's a culture, governance, and data problem. But it's possible to cross this chasm. Enjoyed attending Microsoft Ignite with the EY team this past week. I learn about their "Client Zero" journey, 400,000+ people were enabled with operational AI tools. How? They didn't just deploy AI—they became AI-first. Here's the 3-step action plan to cross the frontier: 1️⃣ Mindset Shift: From prompting AI → delegating outcomes to AI. 2️⃣ Laser Focus: Target one painful, high-volume, low-creativity process to prove ROI and build momentum. 3️⃣ Build the Foundation: Create an AI-ready data estate and robust governance. You can't build a skyscraper on a swamp. Start small. Scale fast. I learn one think during my San Francisco visit. It is no longer the question of whether autonomous agents will reshape your industry, but when—and whether you'll lead or follow. Learn how >
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The shift from Copilot to Autopilot is happening now. This is the Agentic Frontier, and while 82% of leaders are investing in it, most are not ready. Why? Because they're stuck in Phase 1 (AI Assistants) while the winners are already building for Phase 3 (Human-Led, Agent-Operated) operations. The gap between pilot and production is where most AI initiatives die. It's not a tech problem. It's a culture, governance, and data problem. But it's possible to cross this chasm. Enjoyed attending Microsoft Ignite with the EY team this past week. I learn about their "Client Zero" journey, 400,000+ people were enabled with operational AI tools. How? They didn't just deploy AI—they became AI-first. Here's the 3-step action plan to cross the frontier: 1️⃣ Mindset Shift: From prompting AI → delegating outcomes to AI. 2️⃣ Laser Focus: Target one painful, high-volume, low-creativity process to prove ROI and build momentum. 3️⃣ Build the Foundation: Create an AI-ready data estate and robust governance. You can't build a skyscraper on a swamp. Start small. Scale fast. I learn one think during my San Francisco visit. It is no longer the question of whether autonomous agents will reshape your industry, but when—and whether you'll lead or follow. Learn how >

Sabine VanderLinden

236,535 views • 7 months ago