Oliver, one of the firm's top AI power users, joins Jason to demo a fully autonomous content clipping agent he built inside OpenClaw in just 15 days. No CapCut. No third-party clipping tools. No manual searching. Just a custom-built agent that scans X and YouTube, scores clips by virality, transcribes them, picks the best moment, burns in captions, and delivers a ready-to-post video, in under 5 minutes. A process that used to take 45. What makes this different from just using an AI clipping app? Oliver built the tool himself — including his own virality scoring logic, platform-specific search parameters, and post-training feedback loops so the agent learns his taste over time. *Inside the demo:* 🚀 How the cron job triggers three separate skills (X, YouTube, TWIST Archives) 📈 Why virality is measured differently per platform — and how the agent accounts for it 💎 The "This Day in TWIST History" skill that surfaces 15-year-old gems automatically 🤖 How Deepgram + Claude handle transcription and moment selection without human input ⚠️ What breaks, what surprises, and where the agent still needs a human in the loop Timestamps: 0:00 — Introduction to OpenClaw & Skill Stacking 0:45 — The Autonomous Content Clipper 2:23 — Platform Optimization: X vs. YouTube 3:47 — Engineering Virality via Ratios 4:56 — Post-Training & Agent Memory 5:58 — Technical Workflow: MP3 to FFmpeg 9:41 — Efficiency Gains: 45 Minutes vs. 5 Minutes 10:42 — Navigating Platform Restrictions & TOS *Thanks for watching!* 🤖 If you want to stay ahead of the curve on all things AI, make sure to join our community across all platforms: 📩 Get the Weekly Newsletter: https://thisweekinai.ai 📺 Subscribe on YouTube: www.youtube.com/@ThisWeekinAIPodcast 📸 Instagram: www.instagram.com/thisweekinaipodcast 📱 TikTok: www.tiktok.com/@thisweekinaipodcast ✖️X: https://x.com/ThisWeeknAI #AI #OpenClaw #Automation #ContentCreation #Claude #deepgram

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