---
title: "Reconstructed Slides: Building Agents with Amazon Nova Act and MCP - Du'An Lightfoot, Amazon (Full Workshop)"
category: "slides"
video_id: "wFTVEDYVJT0"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Building Agents with Amazon Nova Act and MCP - Du'An Lightfoot, Amazon (Full Workshop)

## Source Video
[Building Agents with Amazon Nova Act and MCP - Du'An Lightfoot, Amazon (Full Workshop)](https://www.youtube.com/watch?v=wFTVEDYVJT0)

## 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/wFTVEDYVJT0/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.13`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.49`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.89`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.03`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.29`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.86`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.5`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.01`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.89`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.4`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.4`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.05`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `167.08`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.24`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.49`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.77`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-017.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.13`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-018.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.22`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-019.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.13`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-020.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.26`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-021.jpg]]

- Source frame: `slide-021.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.87`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-022.jpg]]

- Source frame: `slide-022.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.79`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-023.jpg]]

- Source frame: `slide-023.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.01`
![[assets/reconstructed-slides/wFTVEDYVJT0/slide-024.jpg]]

- Source frame: `slide-024.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.81`
## Dense Scene-Detected Slide Candidates
- [[youtube-wFTVEDYVJT0-dense-slides]]