Slides: HTML is All You Need (for Agents to Make Graphics) - Amol Kapoor, Nori

Source Video

HTML is All You Need (for Agents to Make Graphics) - Amol Kapoor, Nori

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

Recreated text/layout view: open HTML recreation
AI slide classifier: title_card confidence 0.99
Text source: agent_vision.

Slide text:

Hi — I’m Amol.

We deploy an AI employee that understands your company,

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.99
Text source: agent_vision.

Slide text:

THE REAL COST

THE SAME DECK

10 hrs

25 min

↓ 24× faster

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.95
Text source: none.
OCR decision: ready — Dense code/proprietary-format slide is better handled by OCR than manual transcription.

Recreated text/layout view: open HTML recreation
AI slide classifier: title_card confidence 0.99
Text source: agent_vision.

Slide text:

NO.

agents aren't the problem.

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.96
Text source: none.
OCR decision: ready — Multi-panel diagram with code and UI text is better suited to OCR extraction than manual transcription.

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.96
Text source: agent_vision.
OCR decision: ready — Grid of small cards and labels is OCR-suitable; the slide title is short enough to preserve directly.

Slide text:

SLIDE DECKS → HTML

Classification audit: raw/sources/slide-ai-classification/slides/JRTAtZ5iBkU/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.