---
title: "Slides: The Agentic AI Engineer - Benedikt Sanftl, Mutagent"
category: "slides"
video_id: "pSto5YaNGUo"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: The Agentic AI Engineer - Benedikt Sanftl, Mutagent

## Source Video
[The Agentic AI Engineer - Benedikt Sanftl, Mutagent](https://www.youtube.com/watch?v=pSto5YaNGUo)

## 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
![[assets/slides/pSto5YaNGUo/slide-002.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-002.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Diagram slide with multiple small labels around a loop; OCR is a better fit than direct transcription.

Slide text:

> HUTAGENT
> An agent is never “done." It lives in a loop. Tht loop
> Seven stages, run over and over -- each pass making the sgent e littie better. Offline you bulld 8 sharpen it; onllne It runs, and realty feeds the next pass.
> Conooptuelre
> Cpther
> OFplirg
> otfllm+ tild - onllae leazn one loop
> Monnor ctpioy
> TheArentlc Bene Burak 02 1 14

![[assets/slides/pSto5YaNGUo/slide-003.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-003.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Architecture/process slide with many small labels, icons, and a flowchart; OCR is appropriate.

Slide text:

> HUTAGENT
> PhaSe 2. BuIlD
> Your coding agent generates the agent.
> The slgned spec drives a coding agent - Claude Code, Codex, Cursor, Pl, Hermes, whlchever you run -- that writes the agent
> Itself. The result Is portable: the same agent runs on any harness.
> :SPEC +1: Your cooIuc Acett: AGEnT
> Chude Codt. Codx: Cureor:T.:Hrmtt '.
> fuas 61
> THE SAME AGENT AUAS ON AUY HATHESS
> loxal - in yout coding agent clous.manag+d
> X F.
> Hermes Ytlte Hmtra Ctude Ag+rtt D++phgerits
> Th+ At+ntic Bera Burak 6+ 1

![[assets/slides/pSto5YaNGUo/slide-004.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-004.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/left-72/opencv-adaptive`.
- OCR decision: ready — Dense eval-system slide with multiple panels, labels, and a score table; OCR will be more reliable.

Slide text:

> PHASE.3: EVALuATE
> Make "good" measurable.
> Into one O-ioo success rate the loop can chase. Derlve a datatet of cases and a set of criterla - each a binary check, so a fait points stralght at the bi
> Evals + Ihi CeIterIA Lval systln
> CUIDED -.COLO STaRT DATASET.:PASS+FAIL PER CASE
> Datne crfst'i tth the ttea ftom tre toto asd A fitt touarghtt - ro dete rtedad ye'.
> Dertre crlter'a teom peoducton tract tor.: DISCOYEHEO'- FAOH TRAces CAITERIA = EACH A BILARY CHECX Cites lts touro+
> Ho tbrcattd faot.
> CATaSeTs - THE CaSES Corrtit tooh utd
> SyxTntsizr - rnoH. Geouno Ttuth 1 Vetd oe tput tonm!
> G+r+rat+ ct++ from t+ te+o helcree tioortet or hnewn-good tamp'h -- b+ter+ you hrrt tetla.
> - FRcH TRaces 61/ 00 Jlya ssions
> odueten fure irto + regrehntatt
> Tho Artntic Bene Burak.

![[assets/slides/pSto5YaNGUo/slide-005.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-005.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Cause-clustering diagram with small labels and counts; OCR is appropriate.

Slide text:

> HUTAGENT
> asonorio..: t asrhd
> Failures cluster into root causes - and become new evals.
> as a now oval -- so the systam keeps growing itself. Lve, the agent is watched. Falling traces are grouped by root causo, each cause becomes a findlng, and each flndlng is fed back
> live production traces $$snt?. 1001 flrdiags - rt= tvals
> msaing tool / contuxt:+ oval: ass+rt tool pr+t+nt
> wrorg ttcalatlon +'tval: eicalntion'rule
> torrmat / scherm鲁 + tvel: schtea chech'
> ▼ ptqiosqt
> Eval. ststen:
> Tha Arntic Bene Burak 11 F 16

![[assets/slides/pSto5YaNGUo/slide-006.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-006.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/left-72/opencv-adaptive`.
- OCR decision: ready — High-density scale slide with ranked causes, counts, and explanatory boxes; OCR is the right capture path.

Slide text:

> PHASE 4: DIAGOSE · AT SCALE
> From a flood of failures to a short list of causes.
> You can't read a miillon falling traces. Dlagnosis cluaters them by simllarlty and catogorlzes each grou
> cause frst, not the loudest symptom.
> FAILIRO TAACES A fiu Rauxlo causts
> tlust+r: Wrong tool Lihe Otf-path / looping Llulrg conteart
> tat+go+iro Format / pohoy mdts Uhupporttd citha
> Cluste Categorlre ★ Rank
> Croup the tehng trece that look alke hto one buohst = no humus rtdt them one by cmt. Labt cech cutter by thae bnd ot falure, Da trrery buoket mape to a fuxab+e c+uta. Grde thu+ ctut Hrst, rot the lo
> +o trac+n + or+ clustot Bissing coatet. arong tool - ofl-path 1.2kc
> Tht Artatic Bene Burak

![[assets/slides/pSto5YaNGUo/slide-007.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-007.html)
- AI slide classifier: `content_slide` confidence `0.97`
- Text source: advanced OCR `rapidocr-live/left-72/opencv-adaptive`.
- OCR decision: ready — Dense diagram slide with multiple small text blocks and labels.

Slide text:

> The whole lifecycle, running as an agentic loop. THE PAYOFF ··ALL FIVE PHASES. AS ONE HACHIHE
> Dofrmo + Deign. The A Enghisr cigturm mhy erd whet 'otds Goodl' loo'u Pte - Ird turn. it lrto th.
> 2t Create the evel system The Codlng Agent generaits Ihe sgan? ++tinst the Sp+o. [POOE 1 COLD STANT] 99%. A41+T.$0.05
> conltetlont, net hmnd-tuthpntdr. quidt. to 'good'n Btrd Trom ril trom the Seta snd your hatorie taoh Dtrls+ th+ dhtet td toortd crttl ++++rt
> rtgrt ton-gated betore it cen dhploy. Fun the delaahrt → Evtuate + Optmir*. Olh+t optlatlon loop Cyey oyait chp a bettt teran
> [3] D+ploy Co e lth e feedbtck mtoraritn t pltar.
> Thhures tur'eoe se they Teope Montor Lhit imtl res on prod Eodon irlletr
> 7 ' at now drbiet out the ree wond A rna y:Each felure ie rootc. Degnore + grow the Ie-dehitior ketps t!! HODE2LIYED Otift.
> The Artntic Bene Bursk

![[assets/slides/pSto5YaNGUo/slide-008.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-008.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Architecture slide with dense labels and a boxed system diagram.

Slide text:

> HUTAGENT
> The systen. wheRe It lrves
> It runs in your environment - cloud and local.
> Mutagent installs as agents inside the coding agent you already use. The agents run locally - your traces and code never leave *swyoneld umo jnon oi Sutum pue woy, buipee, ol!ym - eulyoew jnon
> YOUR EMVIRONHENt you? glatforal · cloud. loca!
> +idence 1n SOURCES ca Lrgtut A Openltlemertr B Dtdog G Litnhn B Irehtrrt
> r+de lour codl + tocil' - date n+w+t lert+
> Chode Code:. o Codm. G cunv E n -O Hrm?
> f. oxchrtator
> = titct1 tN+rates ，
> Cyulgator RESEARCH PREVIE whlp: rost dinpose Dlugrotici RESEARCH: PAEYIE"
> 2. arott, 1o rolarch, previr
> ehere it arit+s TARceTs calda * ca Coaeo Coder G csror codiar stontt -.+d tIoscaDiks [① Kute roptgats cloud-tod
> mlt racnd of titoes - mtoeht scene thirn srd lhe erehtstrator rurt tha loop sgtl.
> PuNs loCally + Entedt htde taur oodhg tgtmt i A hosted Lutsgert pltterm or Yeragtd Agents-as + Servoe -- tet -hott or fuly mtregtd. then you ment R. future: cloud Platforn
> Jh*.Ax+ntic Bene Burak 1% / 14

![[assets/slides/pSto5YaNGUo/slide-013.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-013.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/full`.
- OCR decision: ready — Dense UI screenshot with small labels, cards, and prompt text.

Slide text:

> MUTAGENTAtlas-Emal-Agent-DiagnostioRoport
> 6547ated2026-06-08122:31:582 souxce langtuse1,946 traces4findings
> ③.Dvervie F-001Thaaf olist
> Atlas-Email-Agent
> 946trsces·1,508sessions·24h
> OAtlas-Emall-Agent
> agent
> s.aethrdple.s net-4.6-(redacted)-vl:0
> t（70.·17.806t clsck
> _time>2026-05-06T18:39:10 ems(amexeroising my oming_email>HiAtlas,I would Ike to unsubscribe.Can you also delete allmy Information from routput-the you are done?Thanks,Jordan</incoming_emal>Torespond to the Ionly see messagessent via thesendMessage tool
> Selected: Bene 127s Burak 74 1,946 Copy declslons amarkdown Reset all

![[assets/slides/pSto5YaNGUo/slide-014.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-014.html)
- AI slide classifier: `content_slide` confidence `0.97`
- Text source: none.
- OCR decision: ready — Dense UI screenshot with prompt text, metrics, and nested panels.
![[assets/slides/pSto5YaNGUo/slide-015.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-015.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: none.
- OCR decision: ready — Dense table, cards, and timeline heatmap are better suited to OCR than manual transcription.
![[assets/slides/pSto5YaNGUo/slide-016.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-016.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/full`.
- OCR decision: ready — Dense table, cards, and timeline heatmap are better suited to OCR than manual transcription.

Slide text:

> Overvien F-001The 00- DDe
> Slgnal census→primary selected byfallure mpaotxprevalence
> ation]
> Signal/fallure-mode Present? Measuro Decislon
> latency-spike YES 1790/46[)
> sndino-Duseya YES senin5/1046sampled
> YES seenin4/g46 smpled
> cost-overshoot YES snn3/40 smled
> Oerrors
> Ofeedback
> Scan coverage
> 5slicesindo-bas 1,946 TRACESNWINDOW DODE-LIVELSCAN(TIERO) 1,946 00-00T REPRESENTATIVE SAMPLE 102 Sof windo p1/1// LLMDEEP-READ covetag:cin 102 (ANALYZIRS) 102-of102sarpled (100%ofsle）
> 24h timeline heatmap(colouravglatency,number·trace count)
> s0d.pr
> 141
> Selected: Bene Severity WHAT/WHY/WHERE Burak One-liner Copy decislons as markdown Reset all
> KTGH

![[assets/slides/pSto5YaNGUo/slide-017.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-017.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: none.
- OCR decision: ready — Dense table, cards, and timeline heatmap are better suited to OCR than manual transcription.
![[assets/slides/pSto5YaNGUo/slide-018.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-018.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: none.
- OCR decision: ready — Dense table and heatmap layout are better suited to OCR than manual transcription.
![[assets/slides/pSto5YaNGUo/slide-019.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-019.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: none.
- OCR decision: ready — Dense product/report UI with many small text blocks and tabs.
![[assets/slides/pSto5YaNGUo/slide-020.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-020.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: agent_vision.
- OCR decision: ready — Dense screenshot with small text, headings, and a long assumptions block.

Slide text:

> Sampling coverage — representativeness proof

![[assets/slides/pSto5YaNGUo/slide-021.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-021.html)
- AI slide classifier: `content_slide` confidence `0.97`
- Text source: none.
- OCR decision: ready — Dense remediation screenshot with multiple small sections and embedded notes.
![[assets/slides/pSto5YaNGUo/slide-022.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-022.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: agent_vision.
- OCR decision: ready — Dense decisions screen with approval controls, feedback box, and live markdown preview.

Slide text:

> Decisions — copy approvals

![[assets/slides/pSto5YaNGUo/slide-023.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-023.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Architecture diagram with many small labels and product/tool names.

Slide text:

> HUTAGENT
> The systth. where it lives.
> It runs in your environment - cloud and iocal.
> Mutagent installs as agents lnside the coding agent you already use. The agents run locaily - your traces and code never leave your machlne - while reading from and writing to your own platforms.
> YouR EnvIRonHENT your platforas: clood- local
> ++id+nce 1n SOURCES Openlelhmetry M Dtdog B lantruat
> Clrd+ Coot': o cde. G cunvE 1 a xm ng aont + Lota - datl nwr levte
> condcote trw Fteoyde = ont soirt per staoa:Orcbrstrator
> i. += titc+1 gtrerates
> aroot ebulld C+.l-ator RESEARCH DREYIE +r+l. agent RESEARCH: Diupnostirs sdlagaost: PRETIE!
> 2 at+att in Itptrth, prtvita
> rhere it azit神s TARCltS cod+ [* cavde cooe! o Codax G areor codirg al+nt..ad [ Lata rptgt ] fIs+aoiks * coA ro. cloud-Hagd
> Targrts run n ntt reurd of treot - mtrhtr cotrs thtm sid th+ ereht'taor rurs the laop *gi'y.
> RuNs LOCally': EnBedd! ht'de yeur codrg sgent -- A hcsted Llutagtet pleitora or Lrg+d Agerts ese-fervce -- +eh -haut ge tuhy Turaged. Yh+h you +mt ht.. sUTURE:CLOUD PlaTfORN
> Jhe Armtic Bene Burak 1$ /14

![[assets/slides/pSto5YaNGUo/slide-024.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/pSto5YaNGUo/slide-024.html)
- AI slide classifier: `title_card` confidence `0.99`
- Text source: agent_vision.

Slide text:

> Stop debugging. Start evolving.
> Reliable agents come from one thing — a loop that never stops, run fast enough to compound.


### Hidden Non-Slide Evidence
- [`slide-001.jpg`](/assets/slides/pSto5YaNGUo/slide-001.jpg) — `title_card` confidence `0.97`; not a content slide
- [`slide-009.jpg`](/assets/slides/pSto5YaNGUo/slide-009.jpg) — `demo_video` confidence `0.99`; Screen-recorded demo with webcam overlays, not a standalone presentation slide.
- [`slide-010.jpg`](/assets/slides/pSto5YaNGUo/slide-010.jpg) — `demo_video` confidence `0.99`; Screen-recorded terminal demo with webcam overlays, not a standalone presentation slide.
- [`slide-011.jpg`](/assets/slides/pSto5YaNGUo/slide-011.jpg) — `demo_video` confidence `0.99`; Screen-recorded terminal demo with webcam overlays, not a standalone presentation slide.
- [`slide-012.jpg`](/assets/slides/pSto5YaNGUo/slide-012.jpg) — `demo_video` confidence `0.99`; Screen-recorded terminal demo with webcam overlays, not a standalone presentation slide.

Classification audit: `raw/sources/slide-ai-classification/slides/pSto5YaNGUo/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.