Insights Archive
Research findings and discoveries about effective AI-human collaboration patterns.
Collaboration Insights
- Autonomy vs Guidance - Balancing independence with helpful guidance
- Context-Aware Behavioral Triggers - Situational response patterns
- Detail vs Brevity - Finding the right level of communication detail
- Structure vs Flexibility - Balancing systematic approaches with adaptability
Memory System Insights
- Cognitive Load Through Consolidation - How memory operations affect mental overhead
- Dynamic Connection Networks - Evolving relationship patterns in memory
- Working Memory Realization - Understanding natural memory boundaries
Purpose
These insights inform the design of collaboration patterns and memory systems. They represent discoveries about what works in practice, not just theory.
Each insight captures:
- The pattern observed - what behavior or approach was effective
- Context conditions - when and why it worked
- Implementation guidance - how to apply the insight in practice