Structured Links

Dessix places structured links at the core of system design, supporting organic connection of related information, conveying semantics and context in human-AI collaboration.

Core Capabilities

• Generalized @mention mechanism: Not limited to Note links, extended to all Block types within the system
• Strongly associated semantic context: Linked content automatically participates in AI collaboration context construction
• Bidirectional link tracking: Automatically records and displays all reference relationships
• Semantic alignment consistency: Ensures user and AI understanding of link relationships is consistent

Link Mechanism

Generalized Link Model

In Dessix, any entity defined as a Block can be linked via @mention, including:

• Notes and Articles
• Threads
• Actions and Scenes
• Folders and Collections
• External content such as Twitter posts

Supports associating different types of information in a unified semantic network.

Strong Association Semantics

@mention link behavior logic:

• When linking two Blocks via @mention, declaring semantic association between them
• System records this strong association and automatically includes it in AI collaboration context
• Linked content participates in thinking and creation process as high-priority semantic context

Bidirectional Tracking

Dessix automatically maintains bidirectional reference relationships:

• Each Block displays "who it references" and "who references it"
• System automatically constructs and updates reference relationships
• Supports tracking information sources and impact

Human-Machine Alignment

User and AI understanding of link relationships remains consistent:

• When establishing links via @mention, system simultaneously informs AI of this relationship's existence
• AI automatically considers strongly associated contexts when processing related content
• Relationships emphasized by users are equally valued by AI