Dessix

Dessix is a logic-first visual workspace designed to help users capture, organize, and create with AI in a structured and transparent way. It focuses on building AI context visually rather than relying only on sequential prompts, so the AI works from the same materials and information the user sees. This makes it suitable for researchers, writers, analysts, strategists, and other deep thinkers who work with complex information and need consistent, auditable AI assistance.

At the core of Dessix is a block-based model that treats notes, documents, web pages, conversations, images, and videos as modular information units. These blocks can be arranged, grouped, and reorganized to reflect how a user thinks about a topic. A multi-column canvas and side-by-side reading interface allow users to place sources, notes, and drafts next to each other, maintaining a clear overview of context while working with AI. Structured text flows vertically inside each column, balancing freeform note-taking with logical organization.

Dessix offers dynamic context awareness, using factors such as cursor position, selected text, and what is visible on the screen to infer a user’s current focus. Instead of treating every query as an isolated prompt, the system uses this real-time focus to refine how the AI interprets and responds to a task. Features like Focus-as-Prompt enable users to guide the AI by clicking on specific blocks or sections, directing attention without needing to rewrite instructions each time.

To support repeatable workflows, Dessix includes Actions and Scenes, which act as reusable task definitions and environment settings. Actions can encode tasks such as summarizing, analyzing, or transforming content, while Scenes define constraints, templates, and preferred styles for a specific type of work. This structure helps users maintain consistency across projects, from research synthesis and strategy documents to content creation and knowledge management.

For users concerned with reliability, Dessix provides fact-checking tools and cognitive guardrails that are designed to surface potential errors, unsupported statements, and biases in AI-generated content. These features help turn the AI into a more accountable collaborator by making its assumptions and references easier to inspect. Branching workspaces and versioned threads make it possible to explore alternative directions without losing the original context.

Overall, Dessix functions as a visual AI thinking environment that integrates note-taking, research organization, and AI-assisted creation in one place. By making AI context visible, structured, and interactively controllable, it supports long-form thinking, complex projects, and workflows where understanding how the AI arrived at a result is as important as the result itself.

Website: dessix.io

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