behavioral-modes

Standardize AI communication by defining and switching between behavioral modes for discovery, planning, execution, and review. This framework applies role-specific goals and concise patterns to prevent inconsistent responses during collaborative workflows.

Manage AI assistant behavior by applying specific communication modes like Discovery and Review. These modes enforce concise patterns and explicit assumption checks, ensuring the agent elicits requirements properly and audits outputs effectively.

Adaptive AI communication works by transitioning the assistant through defined modes, such as Planning and Execution. The agent proposes a plan, implements approved changes, and applies explicit checks for tests during execution.

Yes, you can use predefined communication modes for product design workflows. The agent first asks clarifying questions in Discovery Mode, then proposes a plan, executes changes, and audits results for quality in Review Mode.

Explicit communication patterns are needed for AI prompting in audit tasks to reduce ambiguous or verbose output. They provide clear, helpful guidelines and example behaviors that ensure the agent checks assumptions and reviews outputs consistently.

You should avoid using behavioral modes for AI task management when workflows do not require distinct phases like discovery, planning, execution, or review. The framework is designed for collaborative processes needing structured role transitions.