behavioral-modes

You can switch AI behavior by using predefined operating modes like brainstorm, implement, debug, review, teach, and ship. The system supports both manual mode switching and automatic detection to adapt output style and interaction patterns to your specific task type.

AI operating modes are distinct behavioral configurations that optimize performance for specific tasks. They adapt the AI's output style, reasoning approach, and interaction patterns to match task demands, ensuring consistent and safe outputs across ideation, implementation, debugging, review, teaching, and deployment workflows.

You can get production-ready code with minimal explanations by invoking implement mode. This mode delivers concrete solutions and code changes directly, skipping the verbose explanations and divergent thinking used in brainstorm mode.

Yes, automatic mode detection is supported for adaptive workflows. The system can identify the task type from your prompt and automatically apply the appropriate behavioral rules, output style, and interaction patterns without requiring manual mode selection.

The best way is to use dedicated review and debug modes. Review mode enables thorough architecture evaluation with actionable improvements, while debug mode applies structured reasoning to reproduce, diagnose, and fix issues consistently.

Use brainstorm mode when you need divergent thinking, clarifying questions, and multiple viable options for feature ideation. Switch to implement mode when you have a clear objective and need concrete, production-ready code with minimal explanations.