---
title: "Agents in Production: How OpenGov Built and Scaled OG Assist - Gabe De Mesa, OpenGov"
category: "resources"
sourceLabels:
  - "Public YouTube metadata"
  - "YouTube transcript"
videoId: "4uFVSLgD2Q4"
last_enriched: "2026-07-15T23:40:56.805442+00:00"
---
# Agents in Production: How OpenGov Built and Scaled OG Assist - Gabe De Mesa, OpenGov

## What It Is
An official AI Engineer YouTube channel video with a cached transcript. It is retained as supporting context only because it has not been verified as an actual AI Engineer World's Fair San Francisco 2026 event recording.

## Source Classification
- Source role: supporting official-channel video context, not first-class event evidence.
- Channel/source: official AI Engineer YouTube channel AI Engineer cut video.
- Use: background, speaker, company, or historical AIE context only; do not use for World's Fair San Francisco 2026 session claims unless manually verified against the official event.

## Transcript Status
Cached transcript text is available at `raw/sources/youtube-transcripts/4uFVSLgD2Q4.txt` (3,047 words).

## Topic Signals
- [[mcp|MCP]], [[coding-agents|Coding Agents]], [[ai-sandboxes|AI Sandboxes]], [[agent-memory|Agent Memory]]
- Transcript keywords: `fine`, `schema`, `collecting`, `used`, `accept`, `accelerate`, `experiences`, `asked`

## Link
[YouTube](https://www.youtube.com/watch?v=4uFVSLgD2Q4)

## Extracted Slides
- [[youtube-4uFVSLgD2Q4-slides]]