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Voice-driven murder mystery game uses OpenAI's gpt-realtime-2.1 for suspect interviews

🔄 Updated 1d ago
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Key points

  • Game features speech-to-speech interviews with AI suspects.
  • Uses OpenAI's gpt-realtime-2.1 for real-time voice interaction.
  • A gpt-5-mini judge evaluates presented evidence.
  • Conversations are limited to 30 minutes due to model costs.

Interactive AI Suspect Interviews

A new murder mystery game has been developed that integrates advanced AI for interactive suspect interrogations. Players engage in speech-to-speech conversations with AI suspects, aiming to uncover clues and solve the case. This setup allows for a dynamic and voice-controlled gameplay experience.

Technology Stack

The core of the game's voice interaction relies on OpenAI's gpt-realtime-2.1 model, facilitating real-time speech-to-speech communication via WebRTC. For evaluating player accusations and evidence, a separate gpt-5-mini model acts as a judge, determining if the player has presented the required facts. The project is built using Next.js, MongoDB, and Clerk for authentication.

Operational Constraints

Due to the operational costs associated with OpenAI's gpt-realtime-2.1 model, conversations within the game are subject to a 30-minute time limit. Player interactions are also tied to an authenticated Clerk user ID to manage usage. This measure helps control expenses while providing access to the AI-driven experience.

✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →

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Reporting from

A new voice-driven murder mystery game allows players to interview AI suspects using speech-to-speech interaction powered by OpenAI's gpt-realtime-2.1 model over WebRTC. A separate gpt-5-mini judge evaluates evidence presented by the player, and conversations are limited to 30 minutes due to the cost of the AI models.