Slides: Beyond Components: Designing Generative UI for MCP Apps — Ruben Casas, Postman
Source Video
Beyond Components: Designing Generative UI for MCP Apps — Ruben Casas, Postman
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:
content_slideconfidence0.99 - Text source: advanced OCR
rapidocr-live/border-trim/contrast. - OCR decision: ready — dense multi-panel slide with code screenshot and small labels
Slide text:
November 2022
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Paste Edit-ccdeslooom clesyNon='App-l1nk" logo localstorat logaoles (alias)(est lokst/mrt 0es1i>g- 11lary/(e×t Mes!ig-1ilrery/ree(
bref=htps://react]t.og
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2020 MEngjinee Google DeepMind

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: advanced OCR
rapidocr-live/border-trim/opencv-adaptive. - OCR decision: ready — dense chart slide with small embedded text and logos
Slide text:
WTFHappenedin2025?
Acollection of datapoints in or around 2025 which we may look back as a historical
inflection point Open source & curated inreaftime by Latent Space.
+ ★ AIE
differont LlMs can compietc So% of the time Timo horizon of sottware tasks METR
Oos4 CETL
2006 AEngine #Braintrust OWorkos OpenAl

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.97 - Text source: agent_vision.
Slide text:
November 2025
5.2
Opus 4.5

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.98 - Text source: agent_vision.
Slide text:
Where's the “Jarvis” moment?
Engineering the future of AI

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
- OCR decision: ready — product screenshot slide with dense small UI text
Slide text:
https://json-render.dev/
Hidden Non-Slide Evidence
- `slide-001.jpg` —
speaker_stageconfidence0.98; speaker on stage with only a partial projected slide visible - `slide-007.jpg` —
title_cardconfidence0.98; Branded logo/title card with no presentation content; looks like an intro/splash frame.
Classification audit: raw/sources/slide-ai-classification/slides/hCMrEfPG2Yg/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.