---
title: "Slides: Building an ACP-Compatible Agent Live — Bennet Fenner, Zed"
category: "slides"
video_id: "HsxQICTLF84"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Building an ACP-Compatible Agent Live — Bennet Fenner, Zed

## Source Video
[Building an ACP-Compatible Agent Live — Bennet Fenner, Zed](https://www.youtube.com/watch?v=HsxQICTLF84)

## Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

## Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.

## Extracted Slides
![[assets/slides/HsxQICTLF84/slide-003.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/HsxQICTLF84/slide-003.html)
- AI slide classifier: `content_slide` confidence `0.96`
- Text source: none.
- OCR decision: ready — Dense multi-column agent catalog with many small labels; OCR is the better extraction path.
![[assets/slides/HsxQICTLF84/slide-004.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/HsxQICTLF84/slide-004.html)
- AI slide classifier: `content_slide` confidence `0.93`
- Text source: none.
- OCR decision: ready — Code editor screenshot with small source text; OCR will capture the code more reliably than vision transcription.

### Hidden Non-Slide Evidence
- [`slide-001.jpg`](/assets/slides/HsxQICTLF84/slide-001.jpg) — `speaker_stage` confidence `0.95`; Speaker-on-stage shot with a projected title; not a standalone content slide.
- [`slide-002.jpg`](/assets/slides/HsxQICTLF84/slide-002.jpg) — `title_card` confidence `0.98`; Intro/title card with branding and speaker inset, not a content slide.
- [`slide-005.jpg`](/assets/slides/HsxQICTLF84/slide-005.jpg) — `sponsor_logo` confidence `0.99`; Branding/closing card only; no presentation content to extract.

Classification audit: `raw/sources/slide-ai-classification/slides/HsxQICTLF84/audit.json`

## Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.