ai-learning

You can automate capturing AI tool interactions by passively observing tool usage or explicitly capturing session summaries, which identifies recurring behaviors to create confidence-scored instincts for your workflows.

Instinct-based learning is a system that scopes captured AI tool interactions into small, confidence-scored behaviors, allowing your environment to adapt and consistently apply preferred styles without explicit instruction.

Yes, you can scope learned AI behaviors globally or limit them to specific projects, ensuring that captured instincts adapt uniquely to your current development environment and workflow requirements.

Yes, you need Node.js to execute the scripts required for this AI pattern recognition system, which also uses JSON for configuration and data storage to manage your learned instincts.

You can review captured instincts from your AI coding sessions by running the /instinct-status command, which provides a summary of the learned behaviors and patterns accumulated in your environment.

The best way to evolve recurring AI behaviors into reusable commands is to let the pattern analysis system identify workflow sequences, automatically transforming high-confidence instincts into actionable commands and agents.