Amazon Q in Production: 72 Percent Time Saved
Why Automate Content Creation Creating content manually for 9 channels would take 8+ hours daily. I have a full-time job as VP at JPMorgan. The math doesnt work. The Pipeline Trending Topic CSV ↓ AI Script (Ollama/Gemini) ↓ Google Cloud TTS (Voice) ↓ Pexels Images + MoviePy Video ↓ YouTube API Upload Scheduling with Mac LaunchAgents <plist version= "1.0" > <dict> <key> Label </key> <string>…
Amazon Q has revolutionized content creation by automating the process across nine channels, resulting in a staggering 72 percent reduction in time previously spent. The VP of JPMorgan, who previously dedicated over eight hours daily to manually producing content for multiple platforms, now relies on an automated pipeline. This system integrates AI script generation using Ollama and Gemini, text-to-speech conversion via Google Cloud TTS, image sourcing from Pexels, and video editing with MoviePy and YouTube API.
The entire workflow is scheduled to run at 6:15 PM daily, ensuring consistent uploads without any manual intervention. Remarkably, the total monthly cost for utilizing these services is a mere ₹0, thanks to the free offerings from Google Cloud TTS, Pexels API, and YouTube API. The complete automation process, including the configuration for daily uploads and the repository with the full codebase, is available on GitHub for reference.
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