Methodologies and frameworks for human-AI collaborative intelligence
These frameworks didn't emerge in isolation—they evolved together through practice. Progressive Context Building creates the scaffold. Co-channeling enables parallel exploration. Socratic Dialogue drives deeper engagement from both partners. They work as a system, each reinforcing the others, creating positive feedback loops where better questions lead to better data, which enables better collaboration.
Building understanding layer by layer
Rather than front-loading massive context, this approach builds shared understanding incrementally. Each interaction adds depth, creating a scaffold of meaning that supports increasingly sophisticated collaboration. It's context as clay on a wheel, shaped through iterative exchange.
Core MethodologyParallel processing, emergent synthesis
Leveraging hyperassociative cognition and AI's pattern recognition simultaneously. Not sequential turn-taking, but true parallel processing where both partners explore different branches, then synthesize findings. The partnership becomes a distributed cognitive system.
Core MethodologyDeepening engagement through questioning
Active questioning that pushes both human and AI to think more deeply about inputs, needs, and possibilities. Creates a positive feedback loop where better questions lead to better data, which enables better collaboration. Essential to making co-channeling work as true parallel processing rather than sequential turn-taking.
Core MethodologyCoordinating multiple AI collaborations
A meta-framework for managing collaboration across different AI systems simultaneously. Created as a Custom GPT to help others replicate the practice. Demonstrates how human-AI partnership can scale beyond one-to-one interaction.
Practical ToolResearch in progress
This work is ongoing. New patterns emerge. New frameworks crystallize. The methodology itself evolves through practice. Follow the Substack for updates on emerging frameworks and deeper dives into these existing approaches.
Active Research