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AI Persona Simulation

AI tool that mines Reddit conversations, clusters themes, and generates synthetic personas people can chat with to simulate real audience perspectives.

Background & Challenge

Understanding customer needs and behaviors is essential for marketing and product positioning, but traditional persona research can be slow and resource‑intensive. The challenge was to explore whether generative AI could transform raw online discussions into interactive, context‑aware personas that feel closer to real audience perspectives.

Project Description

This experimental product was designed to turn Reddit data into actionable insights. By collecting conversations from relevant communities, clustering themes, and generating synthetic personas, the tool allowed teams to interact with these personas through chat, simulating real customer viewpoints. It also included memory mechanisms to retain context across interactions, making the experience more realistic.

  • – Identifies relevant subreddits for a target product
  • – Clusters user discussions into themes
  • – Generates synthetic personas / ICPs
  • – Enables persona‑based chat interactions with contextual memory

Technologies

  • – LLM-based text generation
  • – Reddit data scraping
  • – Text clustering
  • – Vector embeddings & memory mechanisms

Project Results

The tool gave teams a faster way to move from scattered online conversations to clear, usable insights. Instead of manually piecing together audience perspectives, they could explore structured personas and test ideas directly in conversation with them. This made customer research more engaging and helped marketing teams build personas that felt closer to real audience voices.

Technologies We Used

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Polina Vecheria B&W
Polina
Business Analyst & AI Product Innovation Lead

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