Slides: Ship it! Building Production Ready Agents — Mike Chambers, AWS

Source Video

Ship it! Building Production Ready Agents — Mike Chambers, AWS

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

Extracted Slides

slide-001.jpg

OCR text:

aWS

ee)

@®Graphite W Windsurf MongobB

Mdaily £3 augmentcode WorkOS

slide-002.jpg

OCR text:

Shi he at

Y aan

Building Production-Ready Agents a A sd f

3 Sed 4

an

oS " 7 :

ae ee a

9 a “ae ’

_ ‘4° . am

io or ee

ae a

oe w a

Mike Chambers (he/him) wo —

:

Teale a Ts Advocate, Al Engineering @ AWS e , aws

al

i Vi fai)

, a Microsoft § Smo

slide-003.jpg

OCR text:

Learn the fundamentals

of generative Al for real-

world applications | 5

eRe cect a ee eA te eno) ET

ncn eccpel enna rere 4 bY -

penarion qa

Ld

ohn.

eS

dl

|

; Eva

= Vr 9

a a Microsoft § Cl)

slide-004.jpg

OCR text:

at

WW eee

\ Wt. 2 > hh |

Sy lO

| ® ° Sg Daas )

| | a Microsoft Ssmmoln

slide-005.jpg

OCR text:

a ae Eh ee cS a tat sso ac | ea aad a aS

oe < ate-wf-2025-demos res de . = 7

oO ae od i nn rrr

fener a) Grae ar ao em Cea

se mi ny

2 ; 2g

AS

m4

ors

roll_dice(sides: - od a

mS |

ag vi | 5 rath Otol ae eeee eens

3

ers 9 : 7 i :

os rnit (seit, models a is

so self madel - cadet

si seif.taois = ¢ : roli_dice}

oa) | Tone spm relat o1 ac Tr Ret ot ars DS eel a aces

Q is

io ee get system ororptisett) - > cris

parse tool cavitsulf, cespenser ote) => aoa - i | ao

, a nt 3: master? = G1 0.%0 0 ts) AWS: profile:m:kegc-Admin par Naar Pcelane) nats 71 0

slide-006.jpg

OCR text:

ad rd ate-wf-2025-demos re aS Ty. a a

1m Pyke Om nn sone

Foxerr rama C1 Grand Mar oy, Seale eraeraaas get system Prompt

LP 9 : bot te _

15 | get_syster_prorptiselt) => ccd ee

fe we ||

Pry avi

ae)

tS

cs 20

rae

oes 22

Pa]

ray

25

mm

27

7 28

; a nt i- master? “=: 05 0.°,0 i) AWS: Piece > ‘Amazon Q a Rare: rata vwenv) oo.

slide-007.jpg

OCR text:

°° re PT ROL EP Ata SrolTa ster re nn eran §

i mtn x ran ane ee

Foren tmraiel aes mar oy Sraa racers get system prompt

© i) ee ee

15 (ek en ee amie aoe by ce ee

28 _

oe |

4 :

38

S cs

ga coe | parse_tool_calilself, response: ae Pace » | ao

41

uv PROBLEMS OUTPUT TERMINAL — CODE REFERENCE LOG IE AERTS cc

PU ete [ae eer Vstee (on Mee ew A Cle Deer te are

mikegc local-agent *% uv run main.py

# Simple Ollama Agent Demo

Q ATs mane SMR CORT OOS

Try: ‘roll a d20', ‘roll a dice’, ‘roll a di2' |

dL for initiative and add a dex mod of fj

wm DSP ie tt eee Oe © Ee MOREE CCS sleoli] uit ye Come o(aitia} paras Paelane) 3.12.8 {\venv': venv) 7

; a Simol

+

slide-008.jpg

OCR text:

Agent

, Mode! |

| a :

7 aws

|

slide-009.jpg

OCR text:

AIE

LLM

Microsoft

smol?

WordsFair

slide-010.jpg

OCR text:

3 Amazon Bedrock Agent

Instruction Pvoib ora co18] 0)

r “You are...” IN

és PSUR neon]

aes)

Acton Group

ENT RSB EE Taek)

Rd ty Pp

ir . a

laa w Microso

slide-011.jpg

OCR text:

Cae 1c) ne 9 Go EO CT

6 Amazon Bedrock 9

Amazon Bedrock < Overview ut

% Getting started .

cervew Model spotlight

Provaters A\

¥ Foundation models

Model catalog Ni a

statog New Anthropic's Claude

Marketplace deployments: New

Choate the exact

Custom models (Datilavon, Fine POPC MTCC combination of

tuning Continved pee training) IMaiigence, speed, ard

Imported models & bean “ ae rae ee cost to wet your nceds All

of the latest Claude

Prompt Routers models, ithe Clade 4, ace

Rar are PR SIE

ow founds ie aa) edal umiaa . available in Amazon

Playges re eee ne Bedrock

Chat / Text

Open ia chat playground

image / Video

Builder tools

Agents

Flows ~‘ <>

Koomtetor Bases

con fc

onan Jf

slide-012.jpg

OCR text:

Create agent x

Name

TOT TTC

\ game_master agent i

Waal. Maa teve ea ATO brates Fong grand Preasmer tae gen aT

sates

Description - optional

Tre tee Sane ST naracens

Multi-agent collaboration

beara more about Tul agent colatoraton (2

* Enable multi-agent collaboration.

Bc Mage HR ee Bye TT aT a a nme Meer ae ote he

daca

cn Ca

en “

slide-013.jpg

OCR text:

Select model x

QQ Serch ers late mantels aed erence :

Bedrock Agents optimized Learn more (2

1. Categories 2. Models 3. inference

Model providers ‘ Models with access (4)

_ & amazon Nova Breniier Select model to show

* anference options.

A\ Anthropk

+ Neva Pro

Nova Lite

Nova Micro

QO Cort tnd the mote, you are icobkurg (or? See al modets here (2 Cancet Sash

be *,

“se. ua

slide-014.jpg

OCR text:

wn HP. ico ee 9 Go ET OC

e Amare Redrock > Agents ) game master_ageat > Agent builder: game_master_agent @ oO 6

© reste and use a new service role

Amazon Bedrock < C} Use an easting senace role Test Agent Od.” >?

¥ Getting started Useng OOT Chan

Overwew Select modet

Provaters

A\ Claude 3.5 Hailkue? OF

Foundation models On-demand

Model catalog New

Marketplace depleyments New BL PURSE SSC PURPURA EE

Custom models (Dstalation, Fine PA pe Cee Wye tet trae

tining.Centinued pre‘eraining) You are a games master who can help me play ttrpg games

imported mode's I

Prompt Routers,

* Playgrounds

Chat f Text & Additional settings

image / Video

é nevi

© Buitder tools . ‘pter your messoge here

Agee Action groups (0) ir bate

flows l Q batectoe gongs . :

Kooptedoe Bases ; ©

( Run

Name 7 Rescrintinn State 2 tastontited 9

Be aa

“e i ° oO

ite g Microsoft

slide-015.jpg

OCR text:

Mike’s prompt template... a

re 4

f tore OLE

AE “scoot 0: "Ask Mike about {topic}", lyestT

“Gok ees [

“cloud scale MCP servers",

"open source SDKs for developing model-first agents",

“where I can get an IRL d20”,

Nan aS

] aa

: Ree

ho

bos

an

core Be

AAS cai)

a a Microsoft =o

slide-016.jpg

OCR text:

«6S rea . te

ae a» i

| World's Fair |

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.