compassionate-systems-awareness-orchestrator

What problem does it solve?

It helps educators turn a vague or recurring class challenge into a coherent, compassionate systems inquiry workflow—making pathway choices explicit and preventing premature action, blame, or unsafe mapping.

Core Features & Use Cases

• Pathway selection before commitment: Presents multiple route options (e.g., current problem, desired future, wellbeing patterns, place/regenerative systems) and guides the educator to choose the starting path.
• Tool orchestration with evidence gates: Sequences discrete compassionate systems tools in the right order and includes stop/slow-down checks for evidence sufficiency, authority, and safety.
• From systems understanding to bounded action: Coordinates a transition from mapping and reflection to agency circles, first safe experiments, or project scaffolds—without making students carry adult/institutional responsibility.

Quick Start

Ask the AI to orchestrate a compassionate systems awareness workflow for your class by providing starting_point, context, and intended_use (and optionally safety_sensitivities and available_time).