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OpenAI Just Merged ChatGPT and Codex. This Changes Everything.
OpenAI
Riley Brown

OpenAI Just Merged ChatGPT and Codex. This Changes Everything.

⏱ 48 min video · 4 min read12 Jul 2026Worth watching
TL;DR
Riley Brown and developer Ross Mike break down OpenAI's merger of ChatGPT and Codex into one platform, the release of GPT-5.6 Soul/Terra/Luna models, and how to use Codex's computer use, loops, multiple threads, and Sites feature for both coding and non-coding workflows. The video is a practical deep-dive into agentic workflows for developers and marketers alike.
Key points
1
OpenAI merged ChatGPT and Codex into one app and released three models: GPT-5.6 Soul (most powerful), Terra, and Luna — all at the same price as GPT-5.5
2
GPT-5.6 Soul is significantly better than GPT-5.5 at long-running agentic tasks and is more eager and token-efficient, but Ross considers it a class below Claude (Fable) — GPT-6 is expected to be the true Claude competitor
3
Codex's computer use runs in the background without taking over your screen, unlike Claude Code, making it far more practical for automated QA testing and agentic loops
4
The 'record and replay' feature lets users record their screen for up to 30 minutes and convert that session into a reusable skill for the agent — described as the future of computer use for knowledge work
5
OpenAI launched a hosted Sites feature inside Codex (now available to all users, previously teams-only) that turns it into a full vibe coding platform with in-app browser support replacing the Atlas app
Actionable insights
Use Codex computer use to automatically QA test your app by telling the agent to spin up a browser, test the app end-to-end, and loop back to fix failures until it passes — this replaces a dedicated QA role
Build evaluation loops by giving the agent a well-defined prompt, a feedback engine (e.g. 20 high-performing ad examples or competitor thumbnails), and a clear success criteria score — it will iterate until the bar is met without you manually supervising
Spin up multiple parallel Codex threads simultaneously by listing tasks and asking Codex to create separate threads for each — then walk away and let it work concurrently, reviewing the summary document afterward
Use the 'record and replay' feature to capture repetitive 10-minute manual tasks on your computer and convert them into reusable agent skills — no prompt engineering or SOP writing required
Choose your tool stack deliberately: Convex for database, Daytona for sandboxes, Vercel AI SDK and Eve for agent frameworks, Blender MCP for 3D, and Gemini for video ingestion — agents default to these and perform far better when given the right building blocks
Notable quotes

Your software factory is Codex. The only thing that was missing is a super powerful model like GPT-5.6 Soul.

Most products are markdown files. So don't spend time building a markdown file — spend time building something that is actually useful.

We're drinking the Kool-Aid too much because one day the subsidies will end.

Worth watching?
Worth watching the full video?
Watch if you want the live screen demos of Codex running QA loops and computer use — the key workflows and model comparisons are all captured here, so skip the video if you just need the strategic takeaways.
Topics
AI & TechOpenAI

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