Turns out building with @ChatGPT Sites is pretty addicting. So is clicking cookies. 🍪
I made a little demo that does both, with a database and an MCP server so ChatGPT and Codex can join in.
Come hang out. I hope it gives you an idea for something fun to build.
Chapters:
00:00 A cookie clicker for humans and AI
00:27 The prompt I started with
00:41 Saving clicks in a database
01:16 Adding MCP tools
01:29 MCP in plain language
02:09 Testing with MCP Inspector
03:11 Asking ChatGPT for the click count
03:40 Clicking a cookie with Codex CLI
04:10 What will you build?
I'm doing another search for #awesomesites but looking for more lifestyle, productivity, and utilities sites. If you're building sites for lifestyle stuff, I wanna see it! Comment or use #awesomesites to get on my radar.
The upcoming election is especially complicated here in California. There are a mere 47 contests where I live, more in San Francisco. So I made a site to research and plan my ballot: https://t.co/tWzwvcPndb
You private notes, location, and plans stay in your browser.
Knowledge workers can build their own tools that best fit their team
Start with a report or tracker you rebuild every week. Give ChatGPT the rules and examples, turn it into a Site, and schedule the backend updates
You know the workflow. Now you can shape the software too 🧑💻
Codex is one of the most important untold stories in the history of technology.
A year ago, it was a scrappy effort in a quiet corner of @OpenAI. Its cloud product hadn’t found PMF, and the team was starting over from scratch.
Less than 12 months later:
- Codex swallowed the flagship ChatGPT desktop app from the inside (it literally runs as com.openai.codex on your Mac)
- Codex and ChatGPT for Work hit 40M+ weekly users across engineering and knowledge work
- Its leader @thsottiaux was elevated to run all of OpenAI’s core products, including ChatGPT, Codex, and the API
How did they pull it off?
They trained their own dedicated model line, separate from ChatGPT, with researchers and product builders sitting on the same team
They built four different products in a single year (cloud → terminal → IDE sidebar → a desktop app with no code editor at all) as every model leap made a new form factor possible
They used Codex to build Codex—so a handful of people could prove a new product in weeks instead of arguing for it in meetings
I had a front-row seat to the whole arc—from their failed Cloud launch, to OpenAI’s offices the night before GPT-5 dropped, to the day Codex took over ChatGPT.
And I spent months interviewing @gdb, @thsottiaux, @embirico, @mia_glaese, @aambrosino, and @edbayes to get inside how it all went down.
Here is the full, behind-closed-doors story of the team that remade OpenAI:
https://t.co/Ai7lTOJY5r
We’re pushing the boundaries of how stories like this are told.
This piece is completely agent-native—designed to be read alongside your agent inside ChatGPT’s in-app browser:
- Every interview transcript is included in full: Click any quote and you (or your agent) can see the exact conversation it came from.
- Built for your agent to explore: Ask your agent to pull out product lessons for your team, cross-examine the transcripts, or find insights I missed when writing the piece.
It’s a story about the future of software—built to be read with an agent:
https://t.co/Ai7lTOJY5r
We’re also removing the cap on how many Sites you can create on ChatGPT Plus and Pro. We've been listening and we want to keep making it easier for you to build whatever you want.
Have fun building ChatGPT Sites!
Use workspace custom domains to publish on your organization’s verified domain, like
“support.sites.[yourdomain].com”
Private tunnels connect hosted Sites to approved internal infrastructure and APIs.
Sites is now generally available for Enterprise, with US and EU data residency for new Sites in eligible workspaces.
Build team apps with databases and authentication.
@kagigz shows how to schedule updates and let teammates use their own connected data with Plugins in Sites: