Theory of Mind Framework
See how AI agents understand different stakeholder perspectives to deliver contextually relevant insights
Theory of Mind (ToM) is the ability to attribute mental states—beliefs, intents, desires, knowledge—to oneself and others. In AI systems, applying ToM means structuring tasks so agents can understand and adapt to different stakeholder perspectives.
Document Input Layer
ToM Engine
Processing Context
Stakeholder Perspectives
Research Analyst
Deep Technical Analysis
Legal Advisor
Compliance & Risk Assessment
Executive
Strategic Decision Support
Data Analyst
Quantitative Insights
Tailored Output
Click a stakeholder to see their output
Theory of Mind in Action: The same input documents are processed through stakeholder-specific mental models, producing outputs tailored to each perspective's priorities, language, and decision-making needs.
How It Works
Belief State Tracking
The agent models what each stakeholder knows, needs to know, and assumes. This prevents information overload or critical gaps.
Goal Hierarchies
Understanding stakeholder objectives—from high-level strategic goals to specific decision criteria—ensures relevant output.
Role Switching
The agent dynamically shifts perspective, adapting language, detail level, and focus to match each stakeholder's mental model.
Contextual Reasoning
Applying domain-specific knowledge and implicit understanding to bridge technical concepts with stakeholder needs.