AI gives you answers. Rai gives you a workspace to explore them.
The non-linear AI workspace built for research — branch any answer, run each branch on a different model, and keep every thread in one place.
Access leading models in one workspace: OpenAI, Anthropic, Google, and more.
- Branch from any paragraph, mid-response
- Run each branch on a different model
- Comment and annotate in context
The Problem
One research question becomes eight open tabs. Context gets polluted, threads get lost, and you can't tell which model said what.
The Solution
Rai keeps every path in one workspace. Branch a paragraph, explore it on a different model, comment in context, and never lose where you came from.
How It Works
- Ask your research question — Start like any AI chat.
- Branch any paragraph — Found a thread worth chasing? Branch it mid-response, on a different model if you want.
- Explore and keep everything — Every branch saves its context. Nothing is lost.
Key Benefits
- Non-linear by design — Explore many paths from one question, the way real research works.
- A model per branch — Run the same point on a different model and compare the answers.
- Never lose context — Every branch remembers where you came from.
Built for deep, multi-path research.
Keep every thread, model, and source in one workspace — no more juggling tabs.
- Multi-path exploration — Branch, return, and compare without losing threads.
- In-context comments — Annotate any paragraph; comments stay in context.
- Document analysis — Upload PDFs, papers, and images to read and discuss.
Don't just branch. Comment and clarify.
See a paragraph you want to discuss? Drop comments right where you need them. Included in context.
We love branching.
Because research isn't linear. Your thinking isn't linear. Why should AI chat be?
Branch. Explore. Return. Repeat.