Short videos every day — from idea to published post

On a schedule the AI invents a video idea, generates the scenes, stitches them into one clip and publishes it, saving the scripts and status to AWS DynamoDB.

  • No filming, no editing
  • The idea and the scenes come from the AI
  • The clip is assembled and posted for you
  • Scripts and statuses are kept in AWS DynamoDB
OpenAICloudinary

How it works

To move data from AWS DynamoDB to automatically, use a ready-made scenario — no manual exports.

  1. Starts when: Schedule Trigger
  2. Then: ASMR Cutting Ideas
  3. Then: Save Category and Clip Scripts
  4. Then: Create Sora Video Scene - 1
  5. Check: Combine All Scenes
  6. Check: Loop Through Videos
  7. Then: Collect Video Id
  8. Then: Build Stitch URL
  9. Then: Download Stitched Video
  10. Then: Prepare Upload Data
  11. Then: Twitter Upload - INIT
  12. Check: Combine Media ID + Binary
  13. Then: Twitter Upload - APPEND
  14. Then: Finalize Upload
  15. Then: Wait for Twitter Processing
  16. Then: Check Twitter Processing Status
  17. Check: Check If Twitter Ready
  18. If yes: Post a Tweet
  19. Then: Update Status
  20. Then: Wait 30s for Rendering
  21. Then: Check Video Status
  22. Check: Check If Still Processing
  23. If yes: Check If Render Complete
  24. If yes: Download Completed Video
  25. Then: Upload to Cloudinary
  26. Then: Create Sora Video Scene - 2
  27. Then: Create Sora Video Scene - 3
  28. Then: OpenAI Chat Model
  29. Then: Format JSON Output
  30. Then: AI Reasoning Tool

You can launch this integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.