---
title: "Dense Slides: Building Intelligent Research Agents with Manus - Ivan Leo, Manus AI (now Meta Superintelligence)"
category: "slides"
video_id: "xz0-brt56L8"
sourceLabels: ["Captured video frames", "Local OpenCV slide-region detection"]
---

# Dense Slides: Building Intelligent Research Agents with Manus - Ivan Leo, Manus AI (now Meta Superintelligence)

## Source Video
[Building Intelligent Research Agents with Manus - Ivan Leo, Manus AI (now Meta Superintelligence)](https://www.youtube.com/watch?v=xz0-brt56L8)

## Method
This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.

## Cropped Visible Slides
![[assets/dense-slides/xz0-brt56L8/slide-001.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-001.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.

Slide text:

> 4x faster. 15% better. Production-ready.
> 4x FASTER
> 15% QUALITY GAIN
> 6% USER SATISFACTION

![[assets/dense-slides/xz0-brt56L8/slide-002.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-002.html)
- AI slide classifier: `content_slide` confidence `0.88`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Dense UI screenshot with small body text and multiple cards; OCR will likely read this more reliably than manual transcription.

Slide text:

> ? Cort
> Wodnesdsy, Novenbor 19, 2025
> 1.06 Pu
> Li dta rt que Lrt.el yi elina toaed mo ga dett cosnernertrart T Hehsha Tu e acrs (nouud ge anai Lao Lraa pue itatg pln hcly duu satey dupar Lo mnuoy
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> oYhou Corltitd Hrtor
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> Aujeurhu a teal trop frold gses Nre Yet. Je wit Hu bureu lgot de Fuet ron pour tire mon tarel Je oerche 99260069560 C.tl- *2025-11-22*09:37:50*

![[assets/dense-slides/xz0-brt56L8/slide-003.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-003.html)
- AI slide classifier: `content_slide` confidence `0.93`
- Text source: agent_vision.

Slide text:

> Long URL
> TinyURL Link

![[assets/dense-slides/xz0-brt56L8/slide-004.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-004.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Multi-column editor/notebook screenshot with dense small text and code-like content.

Slide text:

> 。1 +t i ttt 114 P地 + t+tt. 1 *Lo* + Cth + Lia - O LO lt +1. C te LL + T Ae.:? Creating your first Manus Task Wetcorme io tre Drst ste in your Mne joneyi re netecoct is st sbeul peting rou handt-on wal iye Ail tm guidlly ae Dosltia, hed the the lorg iecitree erd yirg igM Tts tiu col miriur'ice c cresirg and rlruyig LaLn trog ttshr eby IPeaLnar Sign up for ar sccount mt Tnge,rLnL nd cla yur Tru At tet woulg tt' g 1 Manus APl Workshop Hlcora to te thrue APt wcna.ip. That tapotiaory brcd + touetre, h+t 1. Lh fcdalenthr Th, hetebooh colnt it cole rhthhiet et the Larus APL Tl im tm hotr to sartncCia, Crtt Letat, po lor tht mHLt, snd
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> 2..1 2025-11-22:09:49:28

![[assets/dense-slides/xz0-brt56L8/slide-005.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-005.html)
- AI slide classifier: `content_slide` confidence `0.97`
- Text source: advanced OCR `rapidocr-live/full`.
- OCR decision: ready — Code editor screenshot with small source text and file tree; OCR is the right capture method.

Slide text:

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> s1 51 def pet_hae_rli)!
> 3I71
> 19 returs
> 2025-11-2209:57:30

![[assets/dense-slides/xz0-brt56L8/slide-006.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-006.html)
- AI slide classifier: `content_slide` confidence `0.97`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Dense notebook/code screenshot with multi-pane text and JSON content; OCR is appropriate.

Slide text:

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> oraL Lan, + 鲁 4 tad * +S +LD. @ % Y ++ fe Heheg (t: +_M + tkr + ( ro m metharwry) Tal TnL ie mal to Lplotd a tie te gt a tecLre, olLit Lcioal Lir. (toord, ite thd te san tle Tilh cur leet Ple rehuy, ir't tire lo upiotd x to Hanuel. Th+ procts irmche hao tirrpte tegts. Prct, mt Lth Ta tt LIr ++i + t..rini+ +ile reh+ ho+r!..att=l · fil_kiI'olem. rtste_Pila_renommoe eisr_rer_rtatat!. 1*rn+hta. Crete_fite_rewert 4'rsorell.pit] at+ -t?ilet,.+rI t! + h+ lr lees Ie flle ctet, ro, ra m: sta i Crote 's tie rtcove is tt i paiges uiom se. I.e.ieouuti + pr nt, tIle_rote = (rrte flla_re4./--)': Pmr',: *p+++ rt.e + r+e,t+.ptt' -vt_ari ≥iar, l++ re+eae relt_ter,statust] mleLrl.. Huts: b. B = n 7 + u 40 77 n 11 14 11 L 11 17 11 n 74 # L 11 11 1 1 ， 1 "y', ". "h+hr'+ *++?-1-+?u++ +.?. *1 i.M- '.-. I.+t. "mtr! 'eir. "u'!?. "a+'! 'Tury e.ih'. *.+. I.u+!. "' "+uu"! 1 "ttrtu'+ "llt. "++l+'1 1 1 t,+++ ++. -1 1,*1a, 1 1tM** 1. ++++'! "(+++ol ++ +++.+. "++'+ -+.rh (c-im=. --I.14, +.++++ a +++++t. t.-+.
> [4]. 2a +Fiy plen sxorellipi + Tite rerere cerale4 P+h Dt fil-xerrphpru (.++taytu+ h+iy+ rt) /.i hot..r vtir?le t tr.1eh nttm!+'(hl_ho): 1 1 + t u +1 11 41 ""t! 1,
> 9BA801069 22 1* + 1 2025-11:22 09:58:45

![[assets/dense-slides/xz0-brt56L8/slide-007.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-007.html)
- AI slide classifier: `content_slide` confidence `0.83`
- Text source: agent_vision.
- OCR decision: ready — Product/UI screenshot with dense small labels, charts, and side navigation; OCR will likely capture more accurately than manual transcription.

Slide text:

> Rick and Morty Character Dashboard

![[assets/dense-slides/xz0-brt56L8/slide-008.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-008.html)
- AI slide classifier: `content_slide` confidence `0.95`
- Text source: agent_vision.
- OCR decision: ready — Dense code/notebook/editor slide with small text and multiple panes; OCR is more appropriate than direct transcription.

Slide text:

> Conclusion

![[assets/dense-slides/xz0-brt56L8/slide-009.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-009.html)
- AI slide classifier: `content_slide` confidence `0.94`
- Text source: advanced OCR `rapidocr-live/full`.
- OCR decision: ready — Dense code slide with terminal and editor panes; OCR will recover small code and log text better than manual transcription.

Slide text:

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> Createdobjects. 051/（rt346.4s,t223.31） NeceLadeveot： mege_moed PO5T/（4,5.:219.） Receivedrventimessage.eided -// Createdsount/ers/ianleoeck/Doets/codig/nnt-apj-bhook-orsho/serer-py g/1c...h Serviag...hitCtrl-Cts
> 2025-11-2210:07:30

![[assets/dense-slides/xz0-brt56L8/slide-010.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-010.html)
- AI slide classifier: `content_slide` confidence `0.97`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Text-heavy code and log slide with small paragraphs and console output; OCR is the right extraction method.

Slide text:

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> 9四@0106@ Crh i I=+ C+ y tn +t 2025-11-22*10:10:25

![[assets/dense-slides/xz0-brt56L8/slide-011.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-011.html)
- AI slide classifier: `content_slide` confidence `0.96`
- Text source: advanced OCR `rapidocr-live/full`.
- OCR decision: ready — Dense instructional slide with code and logs; OCR is more appropriate than direct transcription.

Slide text:

> k.ry +empy data Frr iindasreet,yoave yr taseRL.Th pls the eneint path that we sefine erlier. Ly care,y fts 十Markdown 0let-s-5tk-sms-briege-fste]-0g-eee.msst.roe/weheks/stac nAer CAOs I96E 90 11 3 H 14 Sefim Ie-secret reetee intle arevjao ife Ypeats",
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> -OUTLINE g ac p 1 w Depc ME AGS cg aRegly igFaes ng our Senver dpg Slack.r Sack lhtegrati Steging ap-easare nterrpt receee.ueaodstru (n-jebhoo-erkshog）Docuaget/coding/-pi--orhogvn()darecatet.py Ar// /users/lvnte-won/Bocusnt/coding/aanu-ap2-ebhook-erkshog/.vene/La/pythan3.9/site-package/arllib3/_snit_Py:35:otpe cpiethUares2.L.]'.See:ts://git.c/artua/orLa/se/820 Created objects. amings.ern( oledeventua_tat P5/2009（38.m224） terelvedtveotr tiiatonped rroftchung Task etattsi 44 Crestedsout/ers/ivenlee-or/Docuents/cding/maus-api- 2aGzkaasis.etoi fs.. oupit Oebug Consolr drtahtegreent yoraterrptsfros iling as.
> POSTMNeL/ack POST /ethocks/sSack watchsng/Dsers/jeanlee-werk/Docamests/ceding/sanus-api-thoek-workshep. / 0 200 (aurgUoni (doratisn) 5.21. 35.98. eecutiani 218.4
> 2025-11-2210:14:10

![[assets/dense-slides/xz0-brt56L8/slide-012.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/xz0-brt56L8/slide-012.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.

Slide text:

> Areas for further exploration
> Advanced agent patterns: multi-step reasoning, tool composition, and error recovery
> Production deployment: scaling, monitoring, logging, and cost optimization
> Custom integrations: connecting to proprietary systems and internal APIs
> Agent orchestration: coordinating multiple agents for complex workflows
> Specialized domains: legal document processing, medical data analysis, financial modeling
> Performance tuning: optimizing latency, throughput, and token usage


Classification audit: `raw/sources/slide-ai-classification/dense/xz0-brt56L8/audit.json`
