The Project Shouldn't Stop When The Model Does

I use ChatGPT for planning, Claude for reasoning, Cursor for coding, GitHub for code, and docs for notes.

The problem isn't the tools.

The problem is context.

Every time I switch tools, hit a token limit, or come back after a few days, I spend time rebuilding context instead of building.

What was I working on?

What decisions did I make?

What's already completed?

What's next?

AI models are getting smarter, but workflows are still fragmented.

That's why I'm building Xeivora.

The idea is simple:

Instead of context belonging to a specific AI model, the project owns the context.

So whether you switch between ChatGPT, Claude, Cursor, or return weeks later, the project remembers where you left off.

Because the project shouldn't stop when the model does.