---
title: "Cooking with Codex"
category: "talks"
date: "2026-06-29"
time: "9:00am-11:00am"
track: "Workshops Day 1"
room: "Track 3"
speakers: ["Charlie Guo", "Gabriel Chua"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Workshops Day 1"
scheduleRoom: "Track 3"
scheduleLabels: ["Workshops Day 1", "Track 3", "sponsor", "confirmed"]
---
# Cooking with Codex

## Conference Context
- Date/time: 2026-06-29 · 9:00am-11:00am
- Track/room: Workshops Day 1 · Track 3
- Speaker(s): Charlie Guo, Gabriel Chua
- Session type/status: sponsor · confirmed

- Track: Workshops Day 1
- Room: Track 3
- Session type: sponsor
- Status: confirmed

## Session Description
Codex is changing how technical teams ship across the software development lifecycle, from feature implementation to code review and automation. But the real unlock comes when these practices move beyond a single workflow and become shared systems a team can trust. In this hands-on session, you'll use Codex across real development and knowledge-work scenarios: structuring tasks, supervising agentic work, coordinating subagents, using plugins and MCPs, and combining Codex with OpenAI's frontier reasoning, coding, and multimodal models. Bring your laptops and leave with reusable demos and a set of Codex recipes your team can adapt.

## Media Evidence
[Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo](https://www.youtube.com/watch?v=dvft0Gp9sEE) (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

- [[youtube-dvft0Gp9sEE-transcript]] — full cached transcript markdown for the related YouTube source.

These are phone-photo slide captures from the Google Photos `AIE Slides` album. They are supporting slide evidence and do not override official schedule fields.
- [[google-photos-aie-slides-9gWZzS1EpXM1C5eK6-cooking-with-codex-slides]] - Google Photos Slides: Cooking with Codex (confidence: medium).

- Source video: `youtube-dvft0Gp9sEE`
- Slide deck: [[youtube-dvft0Gp9sEE-dense-slides|Dense Slides: Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo]] — 2 visible slide image(s); 2 HTML recreation(s).
![[assets/dense-slides/dvft0Gp9sEE/slide-001.jpg]]
![[assets/dense-slides/dvft0Gp9sEE/slide-002.jpg]]
- Additional slide evidence: [[youtube-dvft0Gp9sEE-slides|Slides: Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo]], [[youtube-dvft0Gp9sEE-reconstructed-slides|Reconstructed Slides: Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo]]
- Slide-derived themes for `youtube-dvft0Gp9sEE`: manual, analysis, keyword.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
- `youtube-dvft0Gp9sEE` — 1,508 transcript words; 1 slide-derived text signals
- Transcript signals for `youtube-dvft0Gp9sEE`: analysis, sales, transcript, models, calls, data, single, doing.
- Slide-derived themes for `youtube-dvft0Gp9sEE`: manual, analysis, keyword.
- Evidence links for `youtube-dvft0Gp9sEE`: [[youtube-dvft0Gp9sEE]], [[youtube-dvft0Gp9sEE-transcript]], [[youtube-dvft0Gp9sEE-slides]], [[youtube-dvft0Gp9sEE-dense-slides]], [[youtube-dvft0Gp9sEE-reconstructed-slides]]

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Cached at `raw/sources/youtube-transcripts/dvft0Gp9sEE.txt` (1,508 words).

## People
- [[charlie-guo]]
- [[gabriel-chua]]

## Supporting Slides
- [[youtube-dvft0Gp9sEE-slides]] — extracted from the related public AI Engineer video.

## Slide Evidence
- Slide-only cropped deck: [[youtube-dvft0Gp9sEE-dense-slides]] (2 viable slide images).
- Related slide/OCR pages:
- [[youtube-dvft0Gp9sEE-dense-slides]]
- [[youtube-dvft0Gp9sEE-reconstructed-slides]]
- [[youtube-dvft0Gp9sEE-slides]]
- Slide-derived terms: `calls`, `shift`, `week`, `ideal`, `penve`, `soha`, `ieelall`, `ipest`, `potential`, `download`, `transcript`, `read`, `conversation`, `cane`, `arate`, `aceite`, `extract`, `insights`

## Synthesis
### Synthesized Breakdown
I want to start with a question. How many sales calls can you listen to and take notes on in a single day? If you assume each call is 30 minutes and you work an 8 hour day with no lunch break, that gives you 16 calls. If you have absolutely zero work life balance and only stop to sleep for 8 hours a day, you might get to 32 calls.

### Speaker And Company Context
- [[charlie-guo|Charlie Guo]] — Developer Experience Engineer at [[openai|OpenAI]].
- [[gabriel-chua|Gabriel Chua]] — Developer Experience Engineer at [[openai|OpenAI]].

### Topics Covered
- [[agent-security]]
- [[agentic-search]]
- [[agentic-web]]
- [[coding-agents]]
- [[mcp]]

### Derived Links And Source Material
- [[youtube-dvft0Gp9sEE-transcript]] — transcript markdown; source cache `raw/sources/youtube-transcripts/dvft0Gp9sEE.txt` (1,508 words).
- [[youtube-dvft0Gp9sEE]] — related YouTube source page.
- [[youtube-dvft0Gp9sEE-slides]] — slide evidence.
- [[youtube-dvft0Gp9sEE-reconstructed-slides]] — slide evidence.
- [[youtube-dvft0Gp9sEE-dense-slides]] — slide evidence.

### Novel Concepts / Clever Methods
- [[agent-ready-accessibility|Agent-Ready Accessibility]] — Designing for agents and designing for accessibility converge around explicit structure, reachable controls, and understandable state.

### Evidence Boundary
This synthesis uses the official schedule plus cached video transcripts. Official AI Engineer World's Fair San Francisco 2026 livestreams and cut videos are primary event video sources for transcript/slide evidence; external, historical, or speaker-matched videos remain supporting context unless manually verified as exact official event recordings.