---
title: "Reconstructed Slides: Agents for Everything Else — swyx"
category: "slides"
video_id: "zepu8Kk6FBQ"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Agents for Everything Else — swyx

## Source Video
[Agents for Everything Else — swyx](https://www.youtube.com/watch?v=zepu8Kk6FBQ)

## 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
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.81`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.29`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `179.12`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.07`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `178.19`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `167.85`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `168.0`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.67`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.4`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.7`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.96`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.12`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.38`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.73`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.47`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.92`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-017.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.99`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-018.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.37`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-019.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.01`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-020.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.01`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-021.jpg]]

- Source frame: `slide-021.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.56`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-022.jpg]]

- Source frame: `slide-022.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.96`
![[assets/reconstructed-slides/zepu8Kk6FBQ/slide-023.jpg]]

- Source frame: `slide-023.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.39`
## Dense Scene-Detected Slide Candidates
- [[youtube-zepu8Kk6FBQ-dense-slides]]