Markdown source

Reconstructed Slides: From MCP to Scale: Pipelines That Build Themselves — Rafael Levi, Bright Data

Source Video

From MCP to Scale: Pipelines That Build Themselves — Rafael Levi, Bright Data

Method

This deck is reconstructed from the existing video frame captures by detecting likely slide regions with OpenCV, cropping/upscaling those regions, deduplicating similar crops, and OCRing the cropped slide images locally. It is a cleaner companion to the full-stage frame deck.

Reconstructed Slides

slide-007.jpg

Slide text:

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88 11 12 29 laport Froebilepvtotntifulsoo lapertloering rejests

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24

AIE 24 otrT_o·.Nh1mm(o.t._1_))

27

★ ★ 24 sog·logting.getlegter ring.nicContig(lewel.oeglag.two,fornst.(octiee)sXeoisago)

31 Jnt (otopogo(wlt str, mtries) Lnt. 3) "fetopsge Uroopteipt wrawet mlecter (orsttaegtnrege(retries)) Fetcner ery? (

"attpa://ops.trigitdata.con/regont

月 Jenf°roe';zont,'oel*!sr]. lratien fer

41 reipose.roiu_fee_sutn)

Ntwre.resoonse.text

6.8 coiselonioetrrer(rieledtetet(s(or)ofter(retries)Mteets 1attept(rotries·11 lme.alo()*.atteng)

AI Enginee

EUROPE

slide-008.jpg

Slide text:

Sarch

? chedied

Tideor

Corteat

500

RnngGoacraen g

AIE

n

leLeM

DN 4922V L4PV

ibi AI Engineer

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Hidden Non-Slide Evidence

Classification audit: raw/sources/slide-ai-classification/reconstructed/zTZ0qunQXnM/audit.json