The Codex Showcase
OpenAI has showcased various projects built with Codex, highlighting its capabilities and prompt techniques. Notable projects include a first-person dungeon crawler game and a sophisticated landing page for a watch design. These examples demonstrate how Codex can streamline the development process for technical users.
- ▪OpenAI's Codex showcase features projects like a first-person dungeon crawler and a marketing landing page.
- ▪The dungeon crawler, named Swifty Dungeon, utilizes Codex's image generation skill for its graphics.
- ▪The landing page for a watch design can be created quickly by technical users, reducing the need for skilled developers.
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Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Hacker News (Newest) |
| Canonical URL | https://www.augmentedswe.com/p/openai-shows-you-how-to-use-codex |
| Publication time | Wed, 27 May 2026 03:00:38 +0000 |
| Retrieval time | 2026-05-27T03:07:56.299Z |
| Last seen | 2026-05-27T03:07:56.299Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
How OpenAI prompts Codex for the best resultsOpenAI's showcase projects show how they use Codex and get the most out of itJeff MorhousMay 26, 202641ShareDid you know OpenAI has an entire project showcase for things they’ve built with Codex?That’s right - the makers of Codex are showing you cool things they built with Codex AND how they used Codex to do it.In today’s newsletter, I’ll show you a few of these cool projects and highlight some cool prompt tricks they published alongside them.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (Newest).
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