---
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-001.jpg]]

OCR text:

> eee aaa
> nov baie
> ° «
> The Agentic Al Engineer
> An Al agent is never “done. It lives in a development loop — and the speed of that !oap is the whole
> game
> > i
> 1aaaaaaaaaaaaaaaaaaaaaaaaamaaaaaaasaaaaaaaaaaaaaamaaaaamasasaaasaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaamaaaamaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaaamaaaaamaaaaaamaaaaaaaaaaaaaaaaaaaaaamaaaaaaamaaaamaamaaaaaaaaaamaaaaaaaaaaaamaaaaamaaaaaaaaaaaaaaaaammmmmmama

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

OCR text:

> eee aa
> MUTAGENT
> ‘ “ ” 2 *
> An agent is never “done.” It lives in a loop.
> Seven stages, run over and over — each pass making the agent a littie better. Offline you build & sharpen it; online it
> tuns, and reality feeds the next pass.
> Conceptualize
> <1
> cf? ON
> {7 Q
> Optimize (7) QL. sua
> Q) OFFUINE
> 
> O 0
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> ¢) etilice hight cabite tears O
> 
> Diagnose Cretuate
> Q Q
> Q QO
> Q 2,
> omerat Qa /
> CDDOY
> Monitor Deploy
> 7
> 1aaaaaaaaaaaaaaaaaaaaaaaaamaaaaaaasaaaaaaaaaaaaaamaaaaamasasaaasaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaamaaaamaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaaamaaaaamaaaaaamaaaaaaaaaaaaaaaaaaaaaamaaaaaaamaaaamaamaaaaaaaaaamaaaaaaaaaaaamaaaaamaaaaaaaaaaaaaaaaammmmmmama

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

OCR text:

> eae mene keen
> MUTAGENT
> Your coding agent generates the agent.
> The signed spec drives a coding agent — Claude Code, Codex, Cursor, Fi, Hermes, whichever you run — that writes the agent
> itself. The result is portable: the same agent runs on any harness.
> YOUR CODING AGERT AGENT .:
> SPEC
> 4 x © Ga 4
> Cmade Code Coden Cursor a hermes
> BuURS OW
> i
> THE SAME AGENT RIJAS O% ARV WARNESS
> x @sa a- * Q
> ® Case PL Hermes, Veroe! Mastre Claude Agente Deepagents
> 1
> 1aaaaaaaaaaaaaaaaaaaaaaaaamaaaaaaasaaaaaaaaaaaaaamaaaaamasasaaasaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaamaaaamaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaaamaaaaamaaaaaamaaaaaaaaaaaaaaaaaaaaaamaaaaaaamaaaamaamaaaaaaaaaamaaaaaaaaaaaamaaaaamaaaaaaaaaaaaaaaaammmmmmama

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

OCR text:

> eee eee ene ee eer
> MUTAGENT
> Rake $25, 2M
> “ 9
> Make “good” measurable.
> Derive a dataset of cases anda set of criteria — each a binary check, so a fail points straight at the broken dimension. Rolt them
> into one 0-100 success rate the loop can chase.
> WHA tee Uor-Kere J
> EVAL SYSTEM
> 4 wat 1 PAL ee oe
> Tees tea ath the Mee OI ie aida len cence ce aute cueter ys! Hi Hi Hl Hi
> TEC teaet pete veatee @ Sa ae aa eR ‘
> Lares Fe a Har Ge ata ee Ce MCC ORBOE OL hat Ty 6ee b farhureR WoT IOC r ee Crecnecowce wane
> oy
> Wo tabricated tects
> SAADEH Ska
> Correct toce uit
> Te tent are He the tee TA eGR arnt ondena tines tetion gies Deen
> reams:
> bale bey 6
> 2222222222222

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

OCR text:

> Neeeeeeeee eee eee ann keen
> MUTAGENT
> FaASE DIAGN IST
> Failures cluster into root causes — and become new evals.
> Live, the agent is watched. Failing traces are qrauped by root cause, each cause becomes a finding, and each finding is fed back
> as a new eval — so the system keeps growing itself.
> live production traces Toot causes findings + ree evals
> || missing tool / context eo wen] aseneae ax 2 y seme =
> BH Bf ....
> > wiong eaceation 6 be at one le
> a 6 | .
> || || format } scheme oe eae -
> wore
> EVAL SYSTEN
> 1aaaaaaaaaaaaaaaaaaaaaaaaamaaaaaaasaaaaaaaaaaaaaamaaaaamasasaaasaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaamaaaamaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaaamaaaaamaaaaaamaaaaaaaaaaaaaaaaaaaaaamaaaaaaamaaaamaamaaaaaaaaaamaaaaaaaaaaaamaaaaamaaaaaaaaaaaaaaaaammmmmmama

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

OCR text:

> Neeeeeeeeee eee eee ee RR eer
> MUTAGENT
> Pasi ot DEAGSESE AT STALE
> . *
> From a flood of failures to a short list of causes.
> You can’t read a million failing traces. Diagnosis clusters them by similarity and categorizes each group — so you fix the biqgest
> cause first, not the laudest symptom.
> SPP TOAS Ce RREOEND CMREES
> Ab lm EANRED CALALS
> =a ting content es ::
> meee ae Cy conten .
> IES wrong tool use ee suo
> Nn CBBEE ma Off- path / looping ee oe
> Seyi
> eT) en Sd “0
> che BSaesBun Format / polioy muss Pt ze
> ata
> @ Cluster @ Categorize & Rank
> Gaon the facng ter that cot alee atone > ALR Oe Tee eg he Be GHace to orn y > Orde tre cones thy cast - fn thet pgest ona
> Tce tit Paar (ead their oe thy cet Deucatt Martti s fleane Calta MO Pent That Ost fom
> DO tsacen - coe cluster missing cortert | erong tool - off-path 2 Th caste = top of the queur
> f
> 4 ‘
> ete 5
> 1aaaaaaaaaaaaaaaaaaaaaaaaamaaaaaaasaaaaaaaaaaaaaamaaaaamasasaaasaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaamaaaamaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaaamaaaaamaaaaaamaaaaaaaaaaaaaaaaaaaaaamaaaaaaamaaaamaamaaaaaaaaaamaaaaaaaaaaaamaaaaamaaaaaaaaaaaaaaaaammmmmmama

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

OCR text:

> Neeeeeeeeee eee EEE
> The whole lifecycle, running as an agentic loop.
> > Define + Design tt
> PAL copies ag eat gate ate 2 ,
> TapeeN ge eb ad Dt the , é
> . mud .
> :
> Teg Ceca Agent genewtes the agent aie
> + Create the eval eustem = 99% $0.06 é
> "238 3 Cao Sfaee . . .
> Lene te tata a tte cect tert cae . .
> deeded os yd 1 etted from reel sve .
> Corrersationa <0" hart oa ttcen we ESP
> : Offline optimization loop
> Wy abe paler tate Seat tee : :
> Deploy
> . Monitor
> Diagnose > grow
> MODE 2 - Live
> oRIFT
> Fact the re artic
> >
> 2222222222222

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

OCR text:

> MUTAGENT
> : .
> 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
> your machine — while reading from and writing to yout own platforms.
> YOUR ERVIRONNENT OE “Sn at
> PrSSS? eae tangtuee FP Opentetemetry FY Detedon eB Lanatewin —@ rentrat DE bostor (
> Lon, Spay! @ LOCAL = tata never teases
> Ww mde cose @ Cote GB icure GR Sy terme
> 7 Orchestrator
> KORO TAT Her gre one MyECT FOr NTEGe
> i“ vaqatet
> ——_______. ————. nite tracet
> serel ediagane
> : : bediertot os : biageation -
> FESEAeIM . sEtEapeM
> PROaliw PRiaT oe
> raecers Sorte ete ae i vis
> were tt erste: Qhemee M Cevselose §@ Cotes Bocuse Gi astra BB deertomrs Claude Verve!
> rysgeyyenen POET bed ARCH mONMOE LL Tre kf ite ofehestaton su 6h ence gas
> we tat eet + FUTURE CiGJ9 PLATECER
> wie gh 2 eG QA Arcoled Uutagest pation o Managed Agents-es-a-Service 10! beaters fay maraget
> he ign ment t
> “se
> 1aaaaaaaaaaaaaaaaaaaaaaaaamaaaaaaasaaaaaaaaaaaaaamaaaaamasasaaasaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaamaaaamaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaaamaaaaamaaaaaamaaaaaaaaaaaaaaaaaaaaaamaaaaaaamaaaamaamaaaaaaaaaamaaaaaaaaaaaamaaaaamaaaaaaaaaaaaaaaaammmmmmama

![[assets/slides/pSto5YaNGUo/slide-009.jpg]]

OCR text:

> Cloude Codev2.1.183
> Dpus4.81context）
> +Clude Kax
> /Desktop/Apents/tutagenT/eutagent-
> /clear
> Read/k/e//
> Read 501 Lines
> Loaded eutagent-orchestrator/CLAUDE
> Ctauding17s161tokes)
> (ostext)
> 41828toke
> glbVesion：2.1.183
> .tatestversion:
> tkropic-ai/claode-cod
> irs
> Bene
> Burak

![[assets/slides/pSto5YaNGUo/slide-010.jpg]]

OCR text:

> AOLStage
> SYSTE (fron
> (ndex)
> Nate
> Kind
> Version
> onbcarding
> buile
> evaluate.
> sutagent-ski1t-boilder
> mutagent-evaluator
> skill
> skill
> 0.1.0-alpha.0
> diagnose
> autagent-diagnostics
> skilt
> 0.1.0-alpha.8
> shared
> mutagent-teaplates
> skill
> orchestrater
> eutagent-orchestrator
> apest
> SETUP/ONBOAROING
> complete-googleprovider-workspace mutagent-systes·default
> peaini-3.1-flash-Lite-previev-pined_jodge agent-eispatch-obserabitity
> claude-code(evalate·diagose)
> STATE-
> active stage: none
> last verdict:none
> gated: none pending
> *syc.........Indexthe topology ofskilts/agents（scope source foreval/diagose)
> Indexxs
> Lifecycle
> *adit.......Data-flow/leak/context-flo/usdit
> (-evaluator]
> [-evaluator]
> diapose ....RCAcausalchains onrotedfailores-ranked reedies
> （5IRPRovE·gatedapply.domstreas of*diagose-ever ato-aplies）
> (-diagnostics]
> *status.......bere are w-active stagelast verdict·ending gates
> StateSetup
> help ........Show thisdashbeard
> onboard........Unfiedonboarding.config
> (atias *config)
> Everything*s vired andready,Mat ould you Like to shape -evalate，*aulit, er *diap
> nose?or just tell me in plain wordsvhat yore after,
> Bene
> Burak

![[assets/slides/pSto5YaNGUo/slide-011.jpg]]

OCR text:

> tat
> Scriots
> evalsate-
> nutagent-evaloator
> diagrose
> mutagent-diagnestics
> saitl
> skill
> 0.1.0-alhs.0
> 0.1.0-algha.8
> shared
> autagent-teaplates
> skitt
> orchestrator
> sutagent-orchestrator
> agest
> complete-google providerworkspacemutagent-systea·default
> claude-code(evaluate+diapnose)
> active stage:none
> STATE
> tast verdict：none
> gated:none ending
> Index
> Lifecycle
> evaloate .....Runealsvaskit/agent-success/faitreverdict (judpe oly)
> aodit..........Data-flo/leak/context-flaw/ut aodit
> [-evaluator]
> [-evaluator]
> diapnose.......RCA.causalchains on routed failures-rankedrenedies
> （SpRovgated apply.dostrea of*dlagose -ever auto-applies）
> {-diagnostics]
> StateSetup
> *status.......here are v -active stagelast verdict·pending gates
> *onbard ......onifiednbearding.config
> (alias *config)
> Everything°s viret and ready,at vould yoe tike to shape - evaluate, *aotit, er da
> isplain wordshat yoe'reafter.
> worsec for 35s
> 11thinking)
> Bene
> Burak

![[assets/slides/pSto5YaNGUo/slide-012.jpg]]

OCR text:

> Term2
> Vee
> Scrict
> QB·5n21.J12:28
> STATE
> active stage: none
> last werdictinone
> gated:mone pending
> sync........Indexthetopology ofskills/agentsscope source foreval/diagse]
> xxx Iodex sos
> evaloate.....Ranevalsvsa skill/agest-success/fallere+verdict(judge oely)
> mLifecycle
> audit.......Data-flow/leak/cetext-flo/uadt
> [-evaluator]
> diagnose.....CAcausalchains onrouted failores-raskedremedies
> [-evaluator]
> [-diagnostics]
> （SvEgated apply.dostren of*iase-ever ato-aplies）
> d515
> onboard .......ifiedonboarding.config
> (alias *config)
> help ..........Shov thisdashboard
> Everything's vired and ready.hat woaldyou Like to shape-
> Korked for 35s
> "diagnose
> Routing*diignose-@oLAGNosE（eutagent-diagnostics).
> BeforeIsplice atything open,one structuralnote: diagnose normatly consues the faiture bondte the evalater routes te it -but State shous Last verdict:none,There'sno pstrean evalhandover yet.That's
> fine: dlagnostics is a mature standalooe stage and can run directly against subject's traces - but Ineedyou te tell me the subject and the source,since I won't guess a target.
> -1--（）p-
> sioject
> Mhat'sthesubject todiaghose-andheredo itstracescomefrom？
> 1.A systee skill (self-diagnose)
> onindeed skills/agnts（skilt-baiteer,
> OStICS.
> vt
> le-g-ctet
> iet
> Bene
> Burak
> G3

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

OCR text:

> era ees Scr PC eee
> Atlas-Email-Agent
> Atlas-Email-Agent
> a
> a . * a es eet cr a a met
> 
> arn ee aa a Se = an ore aa cs ms ane ae eal coo
> eS P - - " r 5 ca , : a ss F
> 
> o
> Coad , eg aed i taheniemaiaalinabans

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

OCR text:

> . ot Pt gan Vis : poo bed a fr fey wma et a er a ee eae
> cee : a ete
> 
> By
> 
> By
> 
> in Hea naw ee ee 5
> ms Bove cteare ty te ™ ; Bocce Sr ro % rr
> 
> ad
> 
> eae re J Leal

![[assets/slides/pSto5YaNGUo/slide-015.jpg]]

OCR text:

> SDvervier
> F-001Th
> raft tool is the
> F-002Terse conteetreplies are sent
> F-004Step-countandcontext tallcomp
> Declslons
> nensreneaunaaruau
> shown below lsa cheaper falbacksgnalNOTaconfldentroot cause,Treat the suspected signalasalead requiringmechanical corroboration
> roboration)
> Present?
> Measure
> Declalon
> latency-splke
> YEX2
> output
> YES
> senin6/040 sm
> SA
> sn in 4/1946 tmpied
> cost-overshoot
> YES
> snin/1048 sampled
> Oerrors
> Dfeadback
> Scan coverage
> LLMDEEP-READ
> TRACESNWNDOW
> CODE-LEVELSCAN(TIERO)
> REPRESENTATIVESAMPLE
> (SZAYNY)
> 100K
> n.LLN
> p/
> 102302se
> cge.d
> （10ofssple)
> ineheatmap（colour=avg)
> "ace count]
> selected:
> Bene
> oksx120h,
> Burak
> Copy decielons asmarkdown
> Reset all

![[assets/slides/pSto5YaNGUo/slide-016.jpg]]

OCR text:

> rea eee eS rere rey co
> 1,946 pcr y
> a
> mn uM rv on : ¢ : ” rs rr a“ Oey ” v “ ve tat Ty ”
> ary 7 ae
> - s - ’ y
> iteeg bos ee ae Le eer iv) sf os Dd)

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

OCR text:

> begat darn eonete corey frees ee
> 1,946 etey2 a s
> ES SC Sc 7
> an
> N
> ‘¢ oar +
> - » aa PSS En area e a = v7 oa we
> DR
> Cte coe i?

![[assets/slides/pSto5YaNGUo/slide-018.jpg]]

OCR text:

> SDvervies
> Scan coverage
> LLMDEEP-REAS
> TRACESIWINDOW
> CODE-LEVELSCAN(TIERO)
> REPRESENTATIVE SAMPUE
> (ANALYZEAS)
> s'slicet
> LUF
> 58 ef aindor
> mozst/sed/best/and
> 2021102se
> (1ot casgle)
> cownge:dl
> 24htimellne hoatmap[colour-avglatency,number-trace count]
> ksat20h9h,07h:latenoyp
> Severity
> WHAT/WHY/WHERE
> Apply
> One-liner
> latency-spike/tool
> tool-defntion
> gonerateDraftRepl
> -anestedLLMcompositioncaaerazedefter theperent re
> -is tho single iwgost coneumarof wallclook
> dp-do
> system-prompt.
> me targetwihnodmotencnergencegudbutlgtiaterevdrnre-dfts
> must be preserved.
> g-output/r
> Onshortudssgetheagentrstotenonile]utputchnn nta
> undsrsoec/atem
> va ndMesage.andnevr loosupthe conratin-so theconttreciesnothing
> cu/coetlayeron toootthedratingboteneck.
> Selected:
> Bene
> Burak
> Copy decislans smarkdown
> Reset all

![[assets/slides/pSto5YaNGUo/slide-019.jpg]]

OCR text:

> Ovevie
> F-001Th
> De
> s40-87%ofend-to-end latencyin28/30traces.
> Problem
> The agent composes outoour
> p.so.the agent effectlvely
> decodesthe comersationcontext twicep
> [mooel ca],whohare ony2-seach
> ng steps
> Evldence
> traoe673a73b131
> Why-chain
> Traces arg sow[p5054s,41%oyer 60s]
> -taal
> salta
> Mostof tht timeiginside one tool.genrateDrftReply
> .f151
> That tool ia a nested LLM call serieRzed attor the pare
> I'T-895
> Fa-K2 pr-211 S0o
> FF-S51
> Selected:
> Bene
> SNOILJN
> Burak
> Reset all

![[assets/slides/pSto5YaNGUo/slide-020.jpg]]

OCR text:

> a A Hl i . E a 7 7 bore eo : g reer:
> eY
> iN A
> soe 7 P|
> a y) ' rare
> eed Burak . Tet ni aa adeaetneell

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

OCR text:

> Oveview
> F-001T
> APPLY INSTROCTIONS
> 1.Set amax_tokens celing on the draft g
> 2.nable streming so dow
> thepipelne alons
> mpletesif
> Produce
> generation
> OYTHIS REMEOY
> Elminating the neatedg
> caching/length tweaksb
> ause those onlyshave the
> SXON SINL AN
> LRY TRtET
> Atlas-fmsil-Agent
> (clteet
> Selected:
> Bene
> Burak
> Copy decislons as markdown
> Reset all

![[assets/slides/pSto5YaNGUo/slide-022.jpg]]

OCR text:

> Free tey RCE) Pere SES TOy SS
> © Decisions — copy approvals
> |
> %
> ae oe 2
> 7 i &?
> BS
> ran rs mn $ fl

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

OCR text:

> a
> HUTAGENT
> ' “ #8 a eros Bx
> : .
> 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 cade never leave
> your macnine — vehile reading from and writing to your own platforms,
> YOUR EMVIRORNENT . eo a
> BeEk®> Gt Uaratuee —_P Opentetemetry FY Detedon — B Lanatintn 9 eaintrat «EY Sottor (
> Be “gee Oral - Tata never learned
> W cite cose @ Cosm EBicure GEM Ay termes
> -* Oxchestrator
> SOPOT Te Mec go one ayer cer Wage
> ferotates
> —________ ——— tee traces
> evel sdiagnose
> : . fasd ater : : Drage ste .
> BESEAT IN PESEARIN
> PREW Ew PASaIEw
> Taggers . RE Ste foe ae
> stere tt meites QChomme M Cevde Code B Coder Bcurece GC; tastes EB deertgmrs 1 Claude hy verve
> Sanpete Fonte A ROR) mmberfOr sk Lane rr Ofehenteator su sek wane
> Ne lms Fwaree PUT ee CiCud PLATEORM
> Ate git crete pagent Arosted Utegnet patio — o Managed Agente-me-a-Senice et heaton (a mage
> wre tga mart +
> y
> 1aaaaaaaaaaaaaaaaaaaaaaaaamaaaaaaasaaaaaaaaaaaaaamaaaaamasasaaasaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaamaaaamaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamaaamaaaaamaaaaaamaaaaaaaaaaaaaaaaaaaaaamaaaaaaamaaaamaamaaaaaaaaaamaaaaaaaaaaaamaaaaamaaaaaaaaaaaaaaaaammmmmmama

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

OCR text:

> Meee ee eee ee
> MUTAGENT
> a”
> Mag?
> Stop debugging. Start evolving.
> Reliable agents come from one thing — a tooo that never stops, run fast enough to compound.
> y


## 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.