F09 -- Empathy Simulator

Simulates how different audience segments would perceive and react to political messaging, helping campaign teams refine their communication strategies before public release.

Key Features

• Persona modeling: Define audience personas with demographics, concerns, values, and communication style preferences.
• Multi-persona simulation: Test messaging against multiple personas simultaneously.
• Reaction analysis: Each persona provides a simulated reaction with sentiment, key concerns, and a persuasion score.
• Aggregate insights: Summary view across all personas identifying which segments respond positively and which need different messaging.
• Iterative refinement: Revise messaging and re-simulate to track improvement.
• Pre-built personas: Library of common voter archetypes ready for immediate use.

Server Functions

Function	Endpoint	Description
simulate_reactions	empathy/simulate	Simulate persona reactions to a policy text
list_personas	empathy/personas	List available personas
create_persona	empathy/create-persona	Create a custom persona
get_simulation	empathy/get-simulation	Retrieve a past simulation result
list_simulations	empathy/list-simulations	List past simulation results

Persona Structure

Each persona is defined by:

• Name: A descriptive label (e.g., "Suburban Parent")
• Demographic: Age range, location type, income bracket
• Concerns: Top issues they care about (education, taxes, safety)
• Values: Core value drivers (family, independence, community)
• Communication style: Preferred tone (formal, conversational, data-driven)

Reaction Output

For each persona, the simulation returns:

• Reaction: A paragraph describing how this person would likely respond
• Sentiment: positive, negative, neutral, or mixed
• Key concerns: Specific concerns the messaging raises or addresses
• Persuasion score: 0.0 to 1.0 indicating how persuasive the message would be

UI Components

• Empathy simulator (/empathy): Text input for policy messaging with persona selection grid.
• Reaction cards: Visual display of each persona's reaction with sentiment indicators and persuasion meters.
• Aggregate summary: Cross-persona overview highlighting strongest and weakest audience segments.
• Persona manager: Create and edit custom personas.

Database Tables

• personas -- persona definitions with demographics, concerns, values
• empathy_simulations -- simulation results with reactions per persona (jsonb)