MirrorsWar

Already contacted

This project builds a virtual user research system based on OpenAgents, solving traditional research pain points of long cycles and difficult sample acquisition. Core innovation is 'pipeline + concurrent' collaboration: Agent A designs questionnaires, Agent B batch produces embodied personas, driving N Agent Cs for concurrent immersive role-playing, finally Agent D combines real data (full feedback mining) to generate insights. The project achieves second-level closed loop from requirements to feedback, previewing market reactions at zero cost, greatly reducing product trial-and-error risk.

Project adopts 'pipeline + star collaboration' hybrid mode. Building a 'virtual market research team' with 4 core Agents collaborating through OpenAgents message bus or orchestration, simulating the full process from 'questionnaire design' to 'sample generation', then 'simulated responses' and 'data analysis'.

Agent A - Survey Architect: Understands human-initiated research needs, optimizes questionnaire logic, defines target user dimensions (age, occupation, pain points). Agent B - Persona Factory: Batch generates 'synthetic user personas' with detailed backgrounds, personality preferences, life status based on Agent A's dimensions. Agent C - Synthetic Respondent: Core executor. A highly plastic Agent that loads Agent B's Personas, enters role-play mode, simulates that role's tone, cognitive biases and logic to answer questionnaires or conduct interviews. Agent D - Insight Hunter: Collects all simulated data (plus optional external real data), performs sentiment analysis, clustering analysis, and outputs final report.