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FurGPT Develops Feedback-Driven AI for Interactive Companion Customization

  • FurGPT has developed a feedback-driven AI for interactive companion customization in the Web3 environment.
  • The new adaptive learning model personalizes pet behavior based on real-time sentiment and usage inputs across blockchain environments.
  • The system uses real-time feedback loops to read user sentiment, tone, and engagement patterns to guide pet development, resulting in deeply personalized AI companions.
  • The feedback-driven engine is integrated with FurGPT’s existing cross-chain infrastructure on Ethereum, BNB Chain, and Lithosphere, enabling users to unlock unique personality archetypes and emotional modes.

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