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The collaborative spatial canvas for orchestrating multi-model AI workflows.

Fermat represents the 2026 frontier of 'spatial intelligence' in AI productivity. Unlike linear chat interfaces, Fermat utilizes an infinite 2D canvas architecture that allows users to modularize their creative and analytical workflows. Its technical core is built on a node-based system where different AI models (including GPT-4o, Claude 3.5, and Stable Diffusion XL) can be chained together. This allows the output of one block to serve as the prompt context for another, effectively creating a visual programming environment for non-developers. By 2026, Fermat has positioned itself as the 'Miro for AI,' focusing on teams that require high-density context management and multi-modal generation. The platform leverages Conflict-free Replicated Data Types (CRDTs) to ensure seamless real-time collaboration across distributed teams. Its architectural advantage lies in 'Proximity Contextualization'—the ability for AI blocks to ingest information from neighboring elements on the canvas without manual copy-pasting, significantly reducing prompt latency and cognitive load for power users.
Fermat represents the 2026 frontier of 'spatial intelligence' in AI productivity.
Explore all tools that specialize in facilitate team collaboration. This domain focus ensures Fermat delivers optimized results for this specific requirement.
Explore all tools that specialize in visual brainstorming. This domain focus ensures Fermat delivers optimized results for this specific requirement.
Link the text output of an LLM directly into the prompt field of an image generator or code interpreter.
AI blocks automatically detect and reference content from 'sticky notes' or 'PDF blocks' placed in physical proximity on the canvas.
Enterprises can connect their own fine-tuned models via API into a Fermat block.
Define variables at the board level that propagate through all child blocks simultaneously.
Real-time sync protocol ensuring sub-50ms latency for collaborative edits.
Upload a screenshot and have Fermat's Vision model decompose it into editable text and image blocks.
Convert canvas nodes into a clickable preview for rapid UI/UX testing.
Sign up via Google Auth or Email to initialize your primary workspace.
Define your global workspace variables to maintain brand voice or technical constraints across the canvas.
Create a new 'Board' and select a template or start from a blank spatial canvas.
Use the '/' command to insert your first AI block (e.g., 'Text Generator').
Select the desired LLM backend (GPT-4o, Claude, or Llama 3) for the specific block.
Connect the block output to an 'Image Generator' block using visual connectors.
Upload reference PDFs or images to provide local RAG context to specific canvas regions.
Invite team members for real-time multiplayer prompting and review.
Configure Export settings to sync canvas outputs to Notion or Slack.
Deploy the board as a reusable 'Workflow Template' for recurring departmental tasks.
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Verified feedback from other users.
"Users praise the visual flexibility and the ability to escape 'chatbox fatigue'. Highly rated for complex creative projects."
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