What it contains
You use the Space in the render view. The agent reads that same interface, data, and files, and it can modify, run, and verify them. Dev mode shows the MCL view, MCS logic, data storage, files, and logs that make up the Space. Skills extend what the agent can do. Scheduled tasks run work on a plan.
The next time you open the Space, the last change is still there.
How to start one
Start from a blank Space plus one request, or load a public template for research, knowledge, email, content, or automation. Both can keep changing. The desktop app is on the download page. Plans and credits use the same account.
What it is not
It is not a transcript that only has an input box. The conversation is where you state the request. The Space is where the usable, runnable result stays. It is also not a frozen template: after you load one, you can still change it.
MCL is the language used to describe this kind of Space. The public language page is still being prepared. You can still start from a blank Space or a template before that page is complete.
FAQ
Is an AI-native workspace the same thing?
In Sigla, the AI Agent Space is that AI-native workspace. The homepage introduces the product. This guide explains what the Space is.
Do I need to know how to program?
No. Let the agent build the first version from a request or a template. Open dev mode when you want to inspect or hand-edit what the Space is made of.
How many Spaces can one account have?
More than one. Search, open, or delete them in the Space list. One job per Space stays easier to follow.
Next step
Read how to create an AI Agent Space, or browse workspace templates and pick a starting point close to the work.
Internal links
- How to create an AI Agent Space
- AI Agent Space vs chat
- AI Agent Space guides
- Browse workspace templates