About Dessix

What is Dessix?

Dessix is a visual context workspace that lets you build AI's Context while thinking.

Core Design Philosophy: "What you see is what AI sees"

Name Origin

Dessix = Designable Semantic System Interface

• Designable: You can actively design and orchestrate how AI works
• Semantic: Based on semantic understanding, not simple keyword matching
• System: Complete Context building and AI collaboration system
• Interface: A bridge and interface between humans and AI

Product Philosophy

AI is a Capability Amplifier

Dessix's fundamental philosophy is that AI is a capability enhancer for advanced knowledge workers, not a tool that creates value from scratch. It aims to amplify users' existing professional knowledge and critical thinking.

User-Led, AI-Assisted

Emphasizes the user's leading position. You are the driver, AI is the engine, and Dessix is the cockpit providing a transparent dashboard and precise control system.

Shared Context, Building Trust

By building a shared knowledge domain between humans and AI, every AI output is based on the Context you personally arranged, making results traceable and verifiable.

User Value

Who We Serve

Knowledge Workers

Consultants, analysts, lawyers, project managers who need to process large amounts of information and make high-level decisions.

Academic Researchers

Teachers, students, researchers facing complex literature and logical deduction.

Content Creators

Writers, designers, marketers who need to constantly organize inspiration and materials.

AI Power Users

Those who want to build more controllable AI collaboration workflows.

Lifelong Learners

Deep thinkers committed to continuous self-improvement.

Dessix doesn't focus on managing all raw information, but rather focuses on your thinking process about information, helping you maintain judgment amid complex information.

Pain Points We Solve

Context Fragmentation

Traditional AI conversation tools cannot remember and understand context across conversations and applications, leading to repeated explanations, copy-pasting, and low communication efficiency.

Solution

• Using Block as the basic unit, all Blocks are visible to both AI and humans.
• Build precise Context in real-time by tracking cursor position and selected text.
• All AI outputs are based on the Blocks you personally arranged.

Lack of Trust and Certainty

AI's "black box" nature and the problem of generating inaccurate content prevent expert users from fully trusting its output.

Solution

• Action: Solidify thinking processes into reusable one-time execution actions.
• Scene: Define AI's role, knowledge boundaries, and interaction methods.

Thinking Outcomes Hard to Accumulate

Insights and ideas generated in AI conversations lack systematic recording and are easily forgotten, unable to continuously accumulate.

Solution

• Topic: Create dedicated thinking spaces for specific projects.
• Folder & Collection: Manual and automatic content organization methods.
• Overview: Visualize the context relationship network.
• Mention: Build links through @ so AI can see them.

High Collaboration Costs

Repeatedly copying and pasting content, manually building context causes time waste and experience fatigue.

Solution

• Auto-Complete (Tab): Automatically infer and generate subsequent text based on Context.
• Auto-Association: AI automatically generates summaries, tags, and associates related notes.
• Smart Model Routing: Automatically match the most suitable AI model based on task type.
• Browser Extension: One-click clip content while browsing, seamless collection.