Governance Review for External AI Project-Story Submissions

Purpose of this article

OpenAI has an official intake page titled “Are you a Codex Original?” at https://openai.com/form/codex-originals. The supplied source metadata states that OpenAI is collecting real stories from people using Codex and invites interested parties to provide more information about their story and project for the next chapter of the Codex Originals program.

This Knowledgebase article converts that limited source intelligence into an enterprise decision guide. It is not a substitute for the official OpenAI page, and it does not add claims about eligibility, publication terms, technical outcomes, legal treatment, or regional applicability.

What the verified source supports

The verified evidence supports only that an invitation exists from OpenAI for people using Codex to share more information about their story and project in connection with a Codex Originals program. The source publisher is OpenAI, and the official URL identified in the record is https://openai.com/form/codex-originals.

The available metadata does not establish selection criteria, consent terms, intellectual-property handling, confidentiality safeguards, security review controls, publication timing, participant outcomes, performance claims, customer examples, or any special applicability to a particular country or region.

Why this matters for enterprise teams

For an enterprise, the core question is not whether a project story is interesting. The practical question is whether the story can be shared externally without exposing sensitive delivery details, customer data, unreleased product plans, employee information, internal architecture, or other information that the organization does not intend to make public.

A project-story submission should be treated like an external communication. That means ownership, approval authority, confidentiality, reputational context, and disclosure boundaries should be considered before any team describes internal work to an outside program.

Decision principle

Separate promotional value from disclosure risk. If the story is only compelling because it includes restricted internal details, customer-specific information, non-public plans, or sensitive implementation context, the enterprise should reduce the scope of the narrative or decline participation until the appropriate internal stakeholders agree on boundaries.

This principle is a governance framing based on the supplied record. It should not be read as a statement from OpenAI and should not be treated as legal, security, or compliance advice.

What clients may safely do

Clients may safely review the official source page and identify internally whether the proposed story would involve sensitive information. They may also prepare a non-confidential summary for internal review, provided it does not include customer data, credentials, security details, unreleased plans, or confidential business information.

Clients should not submit enterprise project details externally unless the appropriate internal communications, legal, security, product, and ownership approvals have been completed according to their own policies.

When to escalate

Escalate before submission if the story mentions customers, regulated or contractual information, employee identities or roles, unreleased products, source code, architecture, incident history, security controls, commercial strategy, or any information that may be confidential.

Escalation is also required if there is uncertainty about who owns the project narrative, who can approve external publication, whether consent is needed, or whether the submission terms are acceptable to the organization.

Evidence and attribution

Source facts are attributed to OpenAI’s official page titled “Are you a Codex Original?” at https://openai.com/form/codex-originals. This article is an original Kenzie synthesis created for enterprise governance awareness and does not reproduce the source article.

The supplied evidence does not confirm that participation is endorsed, safe, legally sufficient, region-specific, technically beneficial, or commercially advantageous.

Related enterprise guidance: Governing Advanced Rendering Across Multiple Game Titles; Using AWS HITRUST i1 Guidance as a Governed Readiness Tool; Should Enterprises Treat AI Robotics as a Platform Bet or a Supply-Chain Strategy?.