Reconstructed Slides: Letting AI Interface with your App with MCP — Kent C Dodds

Source Video

Letting AI Interface with your App with MCP — Kent C Dodds

Method

This deck is reconstructed from the existing video frame captures by detecting likely slide regions with OpenCV, cropping/upscaling those regions, deduplicating similar crops, and OCRing the cropped slide images locally. It is a cleaner companion to the full-stage frame deck.

Reconstructed Slides

• Source frame: slide-001.jpg
• Crop: full [0, 0, 960, 540] score 172.63

• Source frame: slide-002.jpg
• Crop: full [0, 0, 960, 540] score 175.67

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 157.0

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 159.53

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 167.09

• Source frame: slide-006.jpg
• Crop: contour [0, 0, 960, 540] score 162.69

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 159.93

• Source frame: slide-008.jpg
• Crop: full [0, 0, 960, 540] score 157.29

Dense Scene-Detected Slide Candidates

• youtube EyZiAp0pelw dense slides