behavioral-modes

AI operating modes can be switched manually or detected automatically based on user intent. This framework defines distinct modes like brainstorm, implement, debug, review, teach, ship, and orchestrate to align AI behavior with specific task goals.

Adaptive AI mode switching is a framework that tailors AI problem-solving approaches, communication style, and prioritization to specific tasks. It provides mode-specific guidance and output patterns to optimize task-specific performance across projects.

To start brainstorming with adaptive AI modes, switch to BRAINSTORM mode to begin ideation. This mode adapts the AI's problem-solving approach and communication style specifically for generating and exploring ideas.

Yes, distinct behavioral modes are defined for debugging and code review tasks. The debug and review modes adapt AI problem-solving approaches, communication style, and output formats to align with the specific goals of each task.

Yes, the framework supports optional assets like scripts and references for extended guidance. These assets provide additional mode-specific instructions to further optimize task-specific performance across various software engineering workflows.

The best way to orchestrate multiple AI behavioral modes is using the orchestrate mode, which coordinates adaptive AI operating modes to optimize task-specific performance. This mode manages transitions between distinct behaviors from ideation to production readiness.