Building a Full-Featured AI Video Suite in Hours (Not Weeks) — Here's How I've been curious about what Google Antigravity could actually handle — not just toy projects, but something useful. Something I'd actually want to use daily. Enter ClipGenerator.ai — an AI-powered video suite with 9 features built entirely through vibe coding: - 🎵 Music Visualizer - ✂️ Viral Clip Generator - 🔊 Audio Extractor - ✂️ Video Trimmer - ⏱️ Speed Adjustment - 📝 YouTube Script Summarizer - 🖼️ AI Image Generation - And a few more I haven't even launched yet The wild part? I didn't write this the traditional way. No weeks of planning, no ticket backlog, no endless debugging sessions. I described what I wanted, Antigravity built it, and I iterated from there. That's the power of vibe coding + OpenClaw. You're not just automating tasks — you're architecting solutions with natural language. The AI handles the implementation; you handle the vision. The takeaway for this community: - Tools like Antigravity aren't gimmicks — they're production-ready - The bottleneck isn't AI capability anymore, it's knowing what to build - OpenClaw users have a massive advantage: we already think in workflows Check out the demo → https://www.youtube.com/watch?v=uR0bngvPtbI Try it live → ClipGenerator.ai Would love to hear what you'd build with this approach. Technical Prompt, Ideal for Implementation in OpenClaw Gateway or Antigravity: AI Video Suite - Full Technical Specification Project Overview Build a comprehensive AI-powered video editing suite as a web application. The app should be intuitive enough for creators without video editing experience, yet powerful enough to streamline common workflows. Target users: content creators, social media managers, YouTubers, and marketers. Tech Stack - Frontend: React + Vite, TailwindCSS for styling - Backend: Node.js with Express (or serverless functions) - Database: Supabase or Firebase for user storage - Video Processing: FFmpeg (server-side), Canvas API for client-side previews - AI Services: OpenAI API (GPT-4 for summarization), Replicate API (for image generation), custom ML models for video analysis - Storage: AWS S3 or Cloudflare R2 for video uploads

A google chrome extension featuring an onboard AI model for analyzing YouTube videos live on the site and creating a brief summary highlighting key moments and takeaways from the video. (Closed captions must be on to pull the script) Built the demo in Antigravity but works in OpenClaw Gateway as well. Exact prompt input + demo video below: Prompt (Copy and paste into OpenClaw Gateway / Vibe Coding Tool): Build Me a YouTube AI Summary Extension 🎥🧠 I need a Chrome extension that watches YouTube videos with me and basically does the TL;DR thing in real-time. Like, I don't got 45 minutes to watch every video, but I still want the juice. The Vibe: - It's giving me the SparkNotes version of any YouTube video - Sitting right in my browser, working silently - Think "personal note-taker who actually pays attention" What It Should Do: 📊 Analyze the Video: - Pull the video title, description, transcript (if available) - Watch for key patterns - timestamps, repeated topics, conclusions - Detect the main points being made ✨ Generate Summaries: - Give me a quick summary (3-5 sentences) - Extract key takeaways (the actual useful stuff) - Highlight timestamps where important stuff happens - Maybe categorize: Tutorial, Review, Rant, Explainer, etc. 🎯 The UI/UX: - Small popup that shows up on YouTube pages - "Analyze" button to start - Display results cleanly: Summary | Key Moments | Takeaways - One-click copy to clipboard 🚀 How It Works: 1. User visits a YouTube video 2. Clicks "Analyze" in the extension popup 3. Extension grabs video metadata + transcript 4. Runs AI analysis locally (onboard model) 5. Shows summarized insights in the popup Tech Stack: - Chrome Extension (manifest.json, popup.js/html, content.js) - On-device AI (like TensorFlow.js, WebLLM, or local LLM) - YouTube Data API (optional, or scrape from page) - No server needed - all runs locally Key Features: - Works on any YouTube video - Shows: Summary, Key Points, Timestamps, Sentiment - Copy to clipboard button - Dark mode (because obviously) - Fast - don't make me wait forever

Technical Prompt and Demo Video: Build an AI-powered tool that automatically detects and extracts viral-worthy clips from long videos. Core Requirements: Video Loading // - Drag & drop or file picker for video files // - Support: MP4, WebM, MOV // - Load into hidden video element // - Extract metadata: duration, resolution, fps // - Generate thumbnail strip for timeline preview Multi-Signal Detection A) Audio Peak Detection // - Create AudioContext, AnalyserNode // - Calculate RMS energy per frame // - Detect peaks: currentEnergy > avgEnergy * threshold // - Store timestamps of all peaks B) Motion Detection // - Use canvas to capture frames at intervals // - Compare pixel differences between frames // - High difference = high motion // - Detect sudden movements C) Facial Detection (Bonus) // - Use TensorFlow.js face-detection // - Detect smiling faces (positive emotional moments) // - Store timestamps with faces Scoring Algorithm // scoringFunction(timestamp) { // audioScore = peaksNearby ? 2.0 : 1.0 // motionScore = motionLevel * 1.5 // faceScore = smilingFaces ? 1.5 : 1.0 // totalScore = audioScore * motionScore * faceScore // return totalScore // } Clip Extraction Configurable: min duration (5-30s), max duration (30-120s) Merge overlapping high-score regions Allow manual selection via timeline Preview each clip before export Export Output format: MP4 (H.264) Batch export all clips or selected Progress indicator Tech Stack: Vanilla JavaScript Canvas API (frame capture) Web Audio API (audio analysis) TensorFlow.js face-detection (optional) FFmpeg.wasm or MediaRecorder (export)

This is achievable with your OpenClaw bot itself, as long as it has permission to operate google chrome. The second implementation is a fully functional google chrome extension BUILT BY open claw and loaded into chrome via an unpacked file. (See demo tool below) The following prompt allowed me to generate the Survey / Input Automation chrome extension. Simply copy and paste it into your openclaw gateway or antigravity input! Build Me a Survey-Filling Chrome Extension 🤖📝 I need a Chrome extension that absolutely destroys surveys. Like, fills them out automatically so I never have to click anything again. The Vibe: - It's 2026, I'm not manually clicking "Strongly Agree" 50 times - This thing should be smooth, fast, and just work - Think "set it and forget it" energy What It Should Do: 🎯 Auto-fill everything: - Text inputs → smart contextual answers (not random gibberish) - Dropdowns → picks random but logical options - Radio buttons → chooses for me - Checkboxes → random selection - Numbers → age, zip codes, years, etc. 🧠 Smart Detection: - Figure out what the question is asking - If it asks "what car do you drive?" → answer with a real car brand - If it asks "how could we improve?" → give a plausible suggestion - If it asks for age → give a reasonable age (not 0 lol) 🚀 Auto-Advance: - Fill ALL questions on the current page - Click "Next" / "Continue" automatically - Move to the next page and keep going - Don't stop until it hits a "Thank You" screen ⚡ The Flow: 1. User hits "Start Filling" 2. Extension finds all questions → fills them → clicks Next 3. Waits a sec → finds new questions → fills them → clicks Next 4. Repeats until done Tech Stack: - Vanilla JS (no framework needed) - Chrome Extension APIs (manifest.json, popup.js, content script) - No external dependencies Key Features: - Start/Stop button - Configurable delay between questions - Console logging so we can debug - Works on any survey site