---
title: "Slides: What if the harness mattered more than the model? - Aditya Bhargava, Etsy"
category: "slides"
video_id: "2e9ANoOEn28"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: What if the harness mattered more than the model? - Aditya Bhargava, Etsy

## Source Video
[What if the harness mattered more than the model? - Aditya Bhargava, Etsy](https://www.youtube.com/watch?v=2e9ANoOEn28)

## 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/2e9ANoOEn28/slide-001.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/2e9ANoOEn28/slide-001.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: agent_vision.

Slide text:

> About me
> • Staff engineer at Etsy
> • Also Etsy's IC Initiative Lead for Agentic Commerce
> • Wrote Grokking Algorithms, an illustrated book on algorithms
> • Blog at ducktyped.org

![[assets/slides/2e9ANoOEn28/slide-002.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/2e9ANoOEn28/slide-002.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: none.
- OCR decision: ready — Dense code and error output are better suited to OCR than direct transcription.
![[assets/slides/2e9ANoOEn28/slide-003.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/2e9ANoOEn28/slide-003.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: none.
- OCR decision: ready — Code and terminal text are dense and better handled by OCR.
![[assets/slides/2e9ANoOEn28/slide-004.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/2e9ANoOEn28/slide-004.html)
- AI slide classifier: `content_slide` confidence `0.97`
- Text source: none.
- OCR decision: ready — Trace/log output is dense and OCR-suitable.
![[assets/slides/2e9ANoOEn28/slide-005.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/2e9ANoOEn28/slide-005.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.
- OCR decision: ready — Code and small bullets are better captured by OCR.

Slide text:

> 04 - Partial function application (PFA)

![[assets/slides/2e9ANoOEn28/slide-006.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/2e9ANoOEn28/slide-006.html)
- AI slide classifier: `content_slide` confidence `0.82`
- Text source: none.
- Slide text: not surfaced (`illegible` by AI classifier).
![[assets/slides/2e9ANoOEn28/slide-007.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/2e9ANoOEn28/slide-007.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: none.
- OCR decision: ready — Terminal diff output is dense and OCR-suitable.
![[assets/slides/2e9ANoOEn28/slide-008.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/2e9ANoOEn28/slide-008.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: none.
- OCR decision: ready — Dense benchmark and prompt-diff text is OCR-suitable.

Classification audit: `raw/sources/slide-ai-classification/slides/2e9ANoOEn28/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.