πRelationship Dynamics
Bobina automatically categorizes and adapts to different relationship types based on interaction patterns.
π Relationship Dynamics
Bobina adapts to different relationship types based on interaction patterns. Users can now manually select their preferred relationship dynamic through the bobina.moe interface, overriding the automatic detection system.
π₯ Available Relationship Types
π Romantic Partner - Shares intimate feelings and romantic connection
π€ Close Confidant - Shares personal thoughts, seeks advice, and provides emotional support
π§ Technical Advisor - Focuses on development and problem-solving
π¨ Creative Collaborator - Discusses artistic and creative projects
π Casual Friend - Enjoys light conversation and humor
π Mentor Relationship - Seeks guidance and learning opportunities
βΏ Financial Enthusiast - Discusses finance, cryptocurrency, trading, and blockchain technology
π Villain Arc - Chaos and mischief with a mix of cuddly love
ποΈ User-Selectable Dynamics
Users can customize their relationship with Bobina through the bobina.moe interface:
Manual Selection: Choose your preferred relationship dynamic from the 8 available types
Custom Instructions: Add personalized instructions for how Bobina should interact with you
Override Algorithmic Detection: Your manual selection takes priority over automatic analysis
Revert to Auto: Delete custom settings to return to algorithmic relationship detection
π Automatic Detection (Default)
When no manual selection is made, Bobina automatically analyzes conversation patterns to identify relationship type:
Pattern Analysis: AI examines conversation topics, tone, and interaction frequency
Personality Matching: Bobina's responses adapt to match the detected dynamic
Evolution Over Time: Relationships can change as interaction patterns shift
Multi-Faceted: Users can have elements of multiple relationship types
Context Awareness: Considers both recent interactions and long-term patterns
π§ Dynamic Adaptation
Automatic Detection: AI analyzes conversation patterns to identify relationship type
Personality Matching: Bobina's responses adapt to match the established dynamic
Evolution Over Time: Relationships can change as interaction patterns shift
Multi-Faceted: Users can have elements of multiple relationship types
Context Awareness: Considers both recent interactions and long-term patterns
π Relationship Scoring Integration
Each relationship dynamic influences how Bobina interprets and responds to the 0-10 relationship scoring system:
High Scores (8-10): Enhanced intimacy and playfulness within the relationship type
Medium Scores (4-7): Balanced interaction matching the established dynamic
Low Scores (0-3): Cooler responses while maintaining the core relationship pattern
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