---
title: "Slides: Ship Agents that Ship: A Hands-On Workshop - Kyle Penfound, Jeremy Adams, Dagger"
category: "slides"
video_id: "Fzb1a24hF-o"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Ship Agents that Ship: A Hands-On Workshop - Kyle Penfound, Jeremy Adams, Dagger

## Source Video
[Ship Agents that Ship: A Hands-On Workshop - Kyle Penfound, Jeremy Adams, Dagger](https://www.youtube.com/watch?v=Fzb1a24hF-o)

## 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/Fzb1a24hF-o/slide-001.jpg]]

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![[assets/slides/Fzb1a24hF-o/slide-008.jpg]]

OCR text:

> This module has been generated via dagger init and serves as a reference to
> basic module structure as you get started with Dagger.
> Two functions have been pre-created. You can modify, delete, or add to them,
> as needed. They demonstrate usage of arguments and return types using simple
> echo and grep commands. The functions can be called from the dagger CLI or
> from one of the SDKs.
> The first line in this comment block is a short description line and the
> rest is a long description with more detail on the module's purpose or usage,
> if appropriate. All modules should have a short description.
> Missing.source: ModuleSource! 0.0s
> .digest: String! 0.0s
> xxh3:c5554240ef477fe5
> ModuleSource.asString: String! 0.0s
> /Users/kylepenfound/github.com/kpenfound/hello-dagger-py/.dagger/workspace
> ModuleSource.localContextDirectoryPath: String! 0.0s
> /Users/kylepenfound/github.com/kpenfound/hello-dagger-py

![[assets/slides/Fzb1a24hF-o/slide-009.jpg]]

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![[assets/slides/Fzb1a24hF-o/slide-010.jpg]]

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![[assets/slides/Fzb1a24hF-o/slide-011.jpg]]

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> The terminal function is very useful for debugging and experimenting, since it allows you to interact directly with
> containers and inspect their state, at any stage of your Dagger Function execution,
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![[assets/slides/Fzb1a24hF-o/slide-012.jpg]]

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> code. Dagger lets you replace those artisanal scripts and YAML with a modern API and cross-language scripting engine.
> This quickstart will guide you through building a Cl pipeline for an application using Dagger.
> Requirements
> e bao ill take you approximately 10 minutes to complete. You should be familiar with programming in Go, Python,
> \ ; “5 or Java.
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![[assets/slides/Fzb1a24hF-o/slide-013.jpg]]

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![[assets/slides/Fzb1a24hF-o/slide-014.jpg]]

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![[assets/slides/Fzb1a24hF-o/slide-015.jpg]]

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![[assets/slides/Fzb1a24hF-o/slide-016.jpg]]

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> workspace-input and with-workspace-output . These bindings can be used to provide (or retrieve) the workspace to
> the agent.
> « The LLM is supplied with a prompt file instead of an inline prompt. By separating the prompt from the Dagger Function
> code, it becomes easier to maintain and update the instructions given to the LLM. q
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## 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.