---
title: "Slides: Agents in Production: How OpenGov Built and Scaled OG Assist - Gabe De Mesa, OpenGov"
category: "slides"
video_id: "4uFVSLgD2Q4"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Agents in Production: How OpenGov Built and Scaled OG Assist - Gabe De Mesa, OpenGov

## Source Video
[Agents in Production: How OpenGov Built and Scaled OG Assist - Gabe De Mesa, OpenGov](https://www.youtube.com/watch?v=4uFVSLgD2Q4)

## 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/4uFVSLgD2Q4/slide-002.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/4uFVSLgD2Q4/slide-002.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.

Slide text:

> Agenda
> 1. Meet OG Assist
> 2. The Origin Story
> 3. Betting on Effect
> 4. The Core Agent Loop
> 5. A2A, Evals & Sandboxing
> 6. Long Context Handling
> 7. Monitoring & Observability
> 8. Tools, Skills & Dev Workflows

![[assets/slides/4uFVSLgD2Q4/slide-003.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/4uFVSLgD2Q4/slide-003.html)
- AI slide classifier: `content_slide` confidence `0.86`
- Text source: advanced OCR `rapidocr-live/right-72/contrast` reconciled by agent.
- OCR decision: ready — two-column slide with smaller paragraph text and embedded video area

Slide text:

> About OpenGov
> Software for
> more effective,
> accountable
> government.
> 
> Founded over 14 years ago, OpenGov builds ERP, budgeting,
> asset management, and permitting software for state and local
> government and OG Assist now connects across all of it.

![[assets/slides/4uFVSLgD2Q4/slide-004.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/4uFVSLgD2Q4/slide-004.html)
- AI slide classifier: `content_slide` confidence `0.95`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive` reconciled by agent.
- OCR decision: ready — product UI screenshot with small internal text plus surrounding slide copy

Slide text:

> About OpenGov
> Software for
> more effective,
> accountable
> government.
> 
> Founded over 14 years ago, OpenGov builds ERP, budgeting, asset management, and permitting software for state and local government and OG Assist now connects across all of it.

![[assets/slides/4uFVSLgD2Q4/slide-005.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/4uFVSLgD2Q4/slide-005.html)
- AI slide classifier: `content_slide` confidence `0.94`
- Text source: agent_vision.

Slide text:

> Origin Story
> One bet on agents, one immediate yes.

![[assets/slides/4uFVSLgD2Q4/slide-007.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/4uFVSLgD2Q4/slide-007.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: advanced OCR `rapidocr-live/full` reconciled by agent.
- OCR decision: ready — Dense code block plus readable title.

Slide text:

> Agent-to-Agent Protocol
> 
> Built Off The A2A Protocol
> 
> The A2A protocol allows OG Assist to build off a supported spec, rather than from the ground up.

![[assets/slides/4uFVSLgD2Q4/slide-008.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/4uFVSLgD2Q4/slide-008.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: agent_vision.

Slide text:

> Sandboxing
> Room to act, safely.

![[assets/slides/4uFVSLgD2Q4/slide-009.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/4uFVSLgD2Q4/slide-009.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: agent_vision.

Slide text:

> Tools & Skills
> UI, on the Fly

![[assets/slides/4uFVSLgD2Q4/slide-010.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/4uFVSLgD2Q4/slide-010.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/full` reconciled by agent.
- OCR decision: ready — Dense trace screenshot is OCR-suitable.

Slide text:

> Observability
> You can't scale
> what you can't
> see.
> 
> Source: https://effect.website/docs/observability/tracing/
> 
> Every agent run is traced end to end, giving us the visibility to debug, measure, and tune behavior at production scale.

![[assets/slides/4uFVSLgD2Q4/slide-011.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/4uFVSLgD2Q4/slide-011.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/bright-screen/contrast` reconciled by agent.
- OCR decision: ready — Code/editor screenshot with small text is OCR-suitable.

Slide text:

> Developer Velocity
> 
> Building agents
> with agents.
> 
> Claude Code, Cursor, and cloud agents accelerate how the team writes, reviews, and ships building OG Assist with the same kind of tools we ship.


### Hidden Non-Slide Evidence
- [`slide-001.jpg`](/assets/slides/4uFVSLgD2Q4/slide-001.jpg) — `title_card` confidence `0.97`; title card
- [`slide-006.jpg`](/assets/slides/4uFVSLgD2Q4/slide-006.jpg) — `sponsor_logo` confidence `0.98`; logo-only partnership slide

Classification audit: `raw/sources/slide-ai-classification/slides/4uFVSLgD2Q4/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.