---
title: "Slides: Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize"
category: "slides"
video_id: "Xfl50508LZM"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize

## Source Video
[Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize](https://www.youtube.com/watch?v=Xfl50508LZM)

## 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/Xfl50508LZM/slide-001.jpg]]

OCR text:

> PLATINUM SPONSORS
> Braintrust WorkOS OpenAI

![[assets/slides/Xfl50508LZM/slide-002.jpg]]

OCR text:

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> . Ste andes Com ALL Mes 7 tf OQ» D & rm |
> What are we talking about?
> 
> ¢ What is an eval, and why you need them
> © Setting up tracing with Phoenix
> © Building an Al agent with the Claude Agent SDK

![[assets/slides/Xfl50508LZM/slide-003.jpg]]

OCR text:

> AlEngineer
> Whatarewetall
> EUROPE
> Whatisan evatand why youne
> Setting up tracing with Phoenix
> Building an Al agent with the Cl
> AlEngineer
> EUROPE

![[assets/slides/Xfl50508LZM/slide-004.jpg]]

OCR text:

> Os Aa erage Ene tee Agere an rime tence agent ok BD Freee ting few ages wo et enianten ox + ~
> . CNS thekes COMER AL Lee w aqo°’no + Han;
> 1. Learner notebook: bit.ly/build-real-agents
> 2. Claude API key: platform.claude.com/settings/keys
> 3. Phoenix Cloud account: app.phoenix.arize.com/login/sign-up
> ¢ Phoenix hostname: app.phoenix.arize.com/s/yourusername
> ¢ Phoenix API key: app.phoenix.arize.com/s/yourusername/settings/general
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> 1. Notebook 2. Claude key 3. Phoenix cloud
> These slides: slides.com/seldo/ship-real-agents

![[assets/slides/Xfl50508LZM/slide-005.jpg]]

OCR text:

> © 0 etree etna x7 ee cmaetenee mer on Bru nome ages on Ee medttec 8 # .
> « Zk akan COMMA NER te O° DO & Mim ;
> This is not theoretical
> Everybody vibes until they can’t any more

![[assets/slides/Xfl50508LZM/slide-006.jpg]]

OCR text:

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> . te ahhes comma aun ee & 0+ DO un |
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> The Swiss Cheese Model
> Zooming Out: The Swiss Cheese of Quality
> s —F
> \ AS we . © Automated evel:
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![[assets/slides/Xfl50508LZM/slide-007.jpg]]

OCR text:

> 0 Vork
> PHOENN Trace 229901 share
> TraceStaus OUNSET $0 TotalCost Latency 42.8s Ou.00 u0.00 Ou1.00 u1.00 lew Ses
> 1&E Trace New Annotation Config
> financial_report Annotatios Nane Unlock 1Pass
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> CogOut Pyorie 2.**Convers1onzesults Jmped g7y*-Ths specific figuze 1snot corrobotated by Meta's actual eaznings disclosures and aopears financial disclotute.

## 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.