---
title: "Reconstructed Slides: Your Agent Failed in Prod. Good Luck Reproducing It. - Tisha Chawla & Susheem Koul, Microsoft"
category: "slides"
video_id: "Lc8zRh9muoY"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Your Agent Failed in Prod. Good Luck Reproducing It. - Tisha Chawla & Susheem Koul, Microsoft

## Source Video
[Your Agent Failed in Prod. Good Luck Reproducing It. - Tisha Chawla & Susheem Koul, Microsoft](https://www.youtube.com/watch?v=Lc8zRh9muoY)

## 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/Lc8zRh9muoY/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `171.77`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `167.14`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `170.66`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `168.34`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.42`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.62`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `169.56`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.04`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `169.5`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `168.38`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `170.41`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.26`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `153.53`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `152.6`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `154.17`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `152.18`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-017.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `150.45`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-018.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `156.64`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-019.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `151.58`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-020.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `155.04`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-021.jpg]]

- Source frame: `slide-021.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `167.45`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-022.jpg]]

- Source frame: `slide-022.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.72`
![[assets/reconstructed-slides/Lc8zRh9muoY/slide-023.jpg]]

- Source frame: `slide-023.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.04`
## Dense Scene-Detected Slide Candidates
- [[youtube-Lc8zRh9muoY-dense-slides]]