OpenAI's Creative Specialist on Using Codex for Design
OpenAI's Chad Nelson reveals how Codex is used as a creative collaborator for rapid design and campaign generation.

Visual TL;DR
need for rapid campaign generation and client presentations
From the article 4 mentionsFor instance, he presented a challenge to build a campaign around specific emotional qualities for the ELARIS SUV, such as capability and luxury, and the AI responded by generating compelling visual concepts that captured these themes.
generates code and creative campaign concepts automatically
From the article 9+ mentionsChad Nelson, a Creative Specialist at OpenAI, discusses how the company's creative team is leveraging Codex, an AI model capable of generating code, for design and creative workflows.
Codex acts as a partner, not just a tool
From the article 9 mentionsIn a way, it becomes a collaborator," Nelson explains.
accelerates ideation and execution of design workflows
From the articleThe AI then generated a series of campaign advertisements, including hero shots and digital assets, tailored to different scenarios like 'everyday luxury' and 'weekend ready.' This rapid prototyping capability is a key benefit, allowing creative teams to explore numerous concepts and visual directions in a fraction of the time it would traditionally take.
builds advert ideas based on customer inputs like city, language
From the article 6 mentionsNelson shares a personal anecdote where he needed to present a full campaign concept for a new electric SUV to a client in a single day.
generates slogans and selects visuals for electric SUV campaign
From the articleNelson shares a personal anecdote where he needed to present a full campaign concept for a new electric SUV to a client in a single day.
From the articleNelson shares a personal anecdote where he needed to present a full campaign concept for a new electric SUV to a client in a single day.
Contents(3)
© 2026 StartupHub.ai. All rights reserved. You may not republish this article in full without a license. Search engines and AI research tools may crawl and summarize for reference. Bulk reproduction or model training requires a license. See our terms.
Written by
Daniel SingerEditor, StartupHub.ai
Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.
More from Daniel Singer