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Slides: Building Agent Interfaces: Lessons from Chrome DevTools (MCP) for Agents — Michael Hablich, Google

Source Video

Building Agent Interfaces: Lessons from Chrome DevTools (MCP) for Agents — Michael Hablich, Google

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_slide confidence 0.94
• Text source: agent_vision.

Slide text:

Engineering the future of AI

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.96
• Text source: advanced OCR rapidocr-live/bright-screen/contrast.
• OCR decision: ready — dense code/browser screenshot with small labels

Slide text:

hrntad ids at: Iia i e ：

3+t3+tar: ve+AV+tala teuteretin PR LRS9 34 CINEMAI

AIE eT PITSTO

wdetheLiryeut

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Flnelea. and get performance insights!

Welcometo thc track!

2O28 AlEngineer AI Engineer EUROPE

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.98
• Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
• OCR decision: ready — small bio lines and QR code are better OCR targets

Slide text:

腺胶

MichaelHablich

AIE

Tester, developer. project manager. Product Manager @ Chrome Developer Tooling 20+ years of experlence in tech linkedin.com/in/mkhaelhabich Guest lecturer @ Unlversity of Applied Sclence St. P&lten

B028 AEnginace AlEngineer EUROPE

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

Slide text:

We built it wrong

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.98
• Text source: advanced OCR rapidocr-live/right-72/contrast.
• OCR decision: ready — Code-heavy and multi-panel screenshot with small terminal/text content.

Slide text:

We built it wrong

All the data × Metrics(lab/observcd): Metrics (fie Available ir URL:https://hablich.dev/ 8ounds:(min:878787192835.max:878792338739} -LCP:135 ms,event:（eventKey: r-3682,ts: -insight name:Cache -LCPbreakdown: -CLS:e. examplequesrion:wnat can I aoto reduce relevant example descript example description:A long cache lifetine can spee insight relevant trace bounds:(min:878787261166, -Rende -TTF8:2ms,bounds:(min:878787192835, summary Semantic ase was nost s:(min:8787 specific impr 78787192835， nize my LCP nodatafor

example question:what caching strategies

Engineering the future of Al

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.98
• Text source: agent_vision.

Slide text:

Agents are a different user class

Intent

Identify errors on the page

GUI for humans

Schema for agents

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.97
• Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
• OCR decision: ready — Product/dashboard screenshot with small metrics and labels that OCR can extract more reliably than manual transcription.

Slide text:

Practical example

★ + AIE Test O Averaoe upLift full-2026-03-30T08-23-38 Mr 30, 2:00 AM LCTON OATE geminl_ch TOrh? 37 WODEL gemird-pro-latost SEAYINO HODE SkMt (CLI)

4794 84%

ASSIRTNONS SASSEO ACTIVADON 100%

71 101+ 283 (26/26) uk)

GUIOANCE CONSUUED 96%

(25/26]Lb

AEngner. Engineering thefuture ofAl

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.97
• Text source: agent_vision.

Slide text:

Concern 4: Trust boundaries

Hidden Non-Slide Evidence

• `slide-001.jpg` — speaker_stage confidence 0.99; speaker on stage, no readable slide
• `slide-005.jpg` — speaker_stage confidence 0.99; speaker on stage with projected slide in background

Classification audit: raw/sources/slide-ai-classification/slides/_B4Pv9ttFgY/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.