---
title: "Slides: The Future Is Domain-Specific Agents - Justin Schroeder, StandardAgents"
category: "slides"
video_id: "spNAUEgq_A8"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: The Future Is Domain-Specific Agents - Justin Schroeder, StandardAgents

## Source Video
[The Future Is Domain-Specific Agents - Justin Schroeder, StandardAgents](https://www.youtube.com/watch?v=spNAUEgq_A8)

## 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/spNAUEgq_A8/slide-001.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-001.html)
- AI slide classifier: `title_card` confidence `0.97`
- Text source: agent_vision.

Slide text:

> The Future Is Domain-Specific Agents

![[assets/slides/spNAUEgq_A8/slide-004.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-004.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: agent_vision.

Slide text:

> We'll harness intelligence with agents.

![[assets/slides/spNAUEgq_A8/slide-005.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-005.html)
- AI slide classifier: `title_card` confidence `0.99`
- Text source: agent_vision.

Slide text:

> What is an agent?

![[assets/slides/spNAUEgq_A8/slide-006.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-006.html)
- AI slide classifier: `content_slide` confidence `0.76`
- Text source: agent_vision.
- Slide text: not surfaced (`decorative` by AI classifier).
![[assets/slides/spNAUEgq_A8/slide-007.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-007.html)
- AI slide classifier: `title_card` confidence `0.99`
- Text source: agent_vision.

Slide text:

> But everyone is building agents

![[assets/slides/spNAUEgq_A8/slide-008.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-008.html)
- AI slide classifier: `title_card` confidence `0.99`
- Text source: agent_vision.

Slide text:

> Why?

![[assets/slides/spNAUEgq_A8/slide-009.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-009.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.

Slide text:

> Agents are hard
> • Agentic loop orchestration
> • Provider abstraction
> • Durable execution

![[assets/slides/spNAUEgq_A8/slide-010.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-010.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.

Slide text:

> It's a mess out there
> • Building robust agents is hard.
> • There is no defined way to do it.
> • Telemetry/observability is hard.

![[assets/slides/spNAUEgq_A8/slide-011.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-011.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Dense comparison table with many small labels; OCR is likely more reliable than manual transcription.

Slide text:

> Client Resources Prompts Toots Discovery Sampling Roots Elicitation Instructions
> Sire x x 0 7 x x 2.?
> AgentAl x x? x ×??
> AgenticFlow 0 0 x x??
> AIQL TUU! x D?
> Amazon Q CLI ×? x x??
> Amazon Q IDE x × x x x?
> Amp 0 D x??
> Tester Apify MCP x x x ×?.?
> Augment Code x x x x 2?
> Avatar Shel! 0 x x x x?
> BeeA! × x × x x
> Framework
> BoltAl x x? x x
> Call Chirp Chatbox x x x x x x x x x C
> ChatFrame x D x x x
> ChatGPT X X X X X

![[assets/slides/spNAUEgq_A8/slide-012.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-012.html)
- AI slide classifier: `content_slide` confidence `0.95`
- Text source: none.
- Slide text: not surfaced (`none` by AI classifier).
![[assets/slides/spNAUEgq_A8/slide-013.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-013.html)
- AI slide classifier: `content_slide` confidence `0.96`
- Text source: agent_vision.

Slide text:

> System Prompt
> Model

![[assets/slides/spNAUEgq_A8/slide-014.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-014.html)
- AI slide classifier: `content_slide` confidence `0.96`
- Text source: agent_vision.

Slide text:

> Messages
> MCP
> Skill
> Tools
> System Prompt
> Context
> Model

![[assets/slides/spNAUEgq_A8/slide-015.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-015.html)
- AI slide classifier: `content_slide` confidence `0.95`
- Text source: none.
- Slide text: not surfaced (`decorative` by AI classifier).
![[assets/slides/spNAUEgq_A8/slide-016.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-016.html)
- AI slide classifier: `content_slide` confidence `0.97`
- Text source: advanced OCR `rapidocr-live/bright-screen/contrast`.
- OCR decision: ready — Dense diagram with small inherited skill/tool labels; OCR is better suited than manual transcription.

Slide text:

> iMicr
> KAYAK NAVAN
> Figma Playwright
> Gmail 田 Google Sheets Inheritance
> Skill
> React Code Fix& Linter
> Grill Me
> Github
> Tools
> System Prompt
> Model

![[assets/slides/spNAUEgq_A8/slide-017.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-017.html)
- AI slide classifier: `content_slide` confidence `0.95`
- Text source: agent_vision.

Slide text:

> Messages
> Tools
> System Prompt
> Figma
> Model

![[assets/slides/spNAUEgq_A8/slide-018.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-018.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/bright-screen/contrast`.
- OCR decision: ready — Multi-node inheritance diagram with repeated small labels and logos; OCR should extract this more reliably.

Slide text:

> Messages
> Tools
> System Prompt
> Model
> Messages Messages Messages Messages
> Tools Tools Tools Tools
> System Prompt System Prompt System Prompt System
> 8Figma Gmail NAVAN Goo
> Model Model Model M

![[assets/slides/spNAUEgq_A8/slide-019.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-019.html)
- AI slide classifier: `content_slide` confidence `0.82`
- Text source: none.
- Slide text: not surfaced (`none` by AI classifier).
![[assets/slides/spNAUEgq_A8/slide-020.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-020.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.

Slide text:

> Domain Specific Agents...
> Far more efficient with tokens

![[assets/slides/spNAUEgq_A8/slide-021.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-021.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.

Slide text:

> Domain Specific Agents...
> Far more efficient with tokens

![[assets/slides/spNAUEgq_A8/slide-022.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-022.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.

Slide text:

> Domain Specific Agents...
> Far more efficient with tokens
> Make small language models practical
> DeepSeek v4 flash is 137x cheaper than Fable per task

![[assets/slides/spNAUEgq_A8/slide-023.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-023.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Contains a dense code screenshot; OCR should capture the small embedded text more reliably than manual transcription in this pass.

Slide text:

> Domain Specific Agents...
> Far more efficient with tokens
> Make small language models practical
> Can enforce strict limits on capabilities
> c> bypass permn ssions on (shift+tab to cycle)

![[assets/slides/spNAUEgq_A8/slide-024.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/spNAUEgq_A8/slide-024.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.

Slide text:

> Domain Specific Agents...
> Far more efficient with tokens
> Make small language models practical
> Can enforce strict limits on capabilities
> Have excellent scaling characteristics


### Hidden Non-Slide Evidence
- [`slide-002.jpg`](/assets/slides/spNAUEgq_A8/slide-002.jpg) — `sponsor_logo` confidence `0.99`; speaker intro / logo wall, not a presentation content slide
- [`slide-003.jpg`](/assets/slides/spNAUEgq_A8/slide-003.jpg) — `other` confidence `0.92`; decorative painted background with speaker inset and no readable slide text

Classification audit: `raw/sources/slide-ai-classification/slides/spNAUEgq_A8/audit.json`

## 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.