---
title: "Slides: Ship it! Building Production Ready Agents — Mike Chambers, AWS"
category: "slides"
video_id: "HT4l0DeP69I"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

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

## Source Video
[Ship it! Building Production Ready Agents — Mike Chambers, AWS](https://www.youtube.com/watch?v=HT4l0DeP69I)

## 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/HT4l0DeP69I/slide-001.jpg]]

OCR text:

> INNOVATIONPARTNER
> aws
> PLATINUMSPONSORS
> Graphite
> WWindsurf
> MongoDB
> daily
> augment code
> Workos

![[assets/slides/HT4l0DeP69I/slide-002.jpg]]

OCR text:

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![[assets/slides/HT4l0DeP69I/slide-003.jpg]]

OCR text:

> Learn the fundamentals
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![[assets/slides/HT4l0DeP69I/slide-004.jpg]]

OCR text:

> AIE
> Microsoft
> smol ai

![[assets/slides/HT4l0DeP69I/slide-005.jpg]]

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![[assets/slides/HT4l0DeP69I/slide-006.jpg]]

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![[assets/slides/HT4l0DeP69I/slide-007.jpg]]

OCR text:

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![[assets/slides/HT4l0DeP69I/slide-008.jpg]]

OCR text:

> AIE
> Agent
> Model
> Prompt
> aws

![[assets/slides/HT4l0DeP69I/slide-009.jpg]]

OCR text:

> AIE
> LLM

![[assets/slides/HT4l0DeP69I/slide-010.jpg]]

OCR text:

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![[assets/slides/HT4l0DeP69I/slide-011.jpg]]

OCR text:

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![[assets/slides/HT4l0DeP69I/slide-012.jpg]]

OCR text:

> Create agent x
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![[assets/slides/HT4l0DeP69I/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
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![[assets/slides/HT4l0DeP69I/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
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> Name 7 Rescrintinn State 2 tastontited 9
> Be aa
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![[assets/slides/HT4l0DeP69I/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

![[assets/slides/HT4l0DeP69I/slide-016.jpg]]

OCR text:

> AI Engineer
> 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.