Satori · Coming soon
A workspace for thinking, researching, and creating with AI.
Market research
Context kept across sessions. No rebuilding the background.
The problem
Your work has context. Your AI tools should too.
Research builds on earlier reading. Writing depends on drafts and decisions. Coding depends on the project and its constraints. Strategy depends on documents, conversations, and assumptions. Reconstructing that context every time a new chat begins adds friction and makes sustained work harder.
Satori is built around continuity: keep relevant work organized, make context easier to reuse, and choose the right AI capability for the task.
Intended experience
A more continuous environment for AI-assisted work.
What Satori is being designed toward. Planned capabilities and supported providers may change during development.
- Work around projects, not isolated conversations
- Keep related conversations, files, instructions, and outputs together. The final organization model will depend on product design and implementation.
- Use the right model for the task
- The long-term concept may support multiple model providers, so work can be routed based on task, cost, quality, and privacy requirements. Only integrated providers will be listed.
- Give AI the context it needs
- Project context and memory can reduce repetitive explanations and help work continue across sessions. Context stays visible and controllable, with clear options to inspect, correct, or delete stored information.
- Move from raw material to finished work
- The intended workflows span research, writing, coding, document analysis, synthesis, planning, and repeatable task patterns. Every capability is a plan until it passes product QA.
- Keep users in control
- See which model or tools are being used where relevant, understand data handling, and decide what information is retained or shared.
Scope
What Satori is and is not.
It is a product direction for sustained knowledge work with AI: project context, files, and tools.
It is not Mansion, the assistant for ordering products and booking services. Satori is focused on creating and reasoning; Mansion is focused on delegating real-world tasks.
It is not necessarily a foundation model. The product may use models provided by third parties or supported open-weight models, while DBMansion Labs develops the surrounding workspace experience and systems.
Early access
Help shape a more connected way to work with AI.
Join the Satori list for development notes, early product updates, and invitations when a test program is available. Joining the list does not guarantee access by a particular date.
FAQ
Questions.
- Is Satori available now?
- Not yet. The page reflects the current product status, and availability will be announced when a release is confirmed.
- Which models will it support?
- Only providers and models that have been integrated and approved for launch will be listed. Planned support can change.
- Will Satori remember my projects?
- Project context and memory are part of the product direction. The final implementation, controls, and retention settings will be explained before anyone relies on the feature.
- Is it the same as Mansion?
- No. Satori focuses on research, writing, coding, and knowledge work. Mansion focuses on coordinating everyday services and actions.
- When will it launch?
- No date is published until an actual release plan is approved.