Project Valhalla [Dating Support AI-agent]

Hi friends, I’m Dewey! :waving_hand:

I’m currently building an AI Agent that helps support people with dating advice.
It’s honestly such a joy to finally share my thoughts and the service I’ve been developing with you all!

1. Overview

Project Valhalla is a Web3-native AI dating advisor built on the Hyperion stack inside the Metis ecosystem. It supports individuals navigating romantic relationships with emotionally intelligent coaching powered by Hyperion’s Co-Agent AI and Alith framework. Designed with a Web2-friendly UX, Valhalla makes the Web3 dating experience more intuitive, private, and personal—while unlocking the potential of decentralized infrastructure.


2. Problem Statement

Web3 pain points:

  • Technical complexity and poor user onboarding.
  • Lack of emotional or human-centered UX.

Dating pain points:

  • Users struggle with initiating or maintaining meaningful conversations.
  • Dating apps lack intelligent ad personalization and post-interaction engagement.

3. Solution

Valhalla solves these challenges through:

  • Hyperion Co-Agent AI: Replaces traditional GPT APIs with Hyperion-native AI for faster, cheaper, privacy-preserving chat coaching.
  • Alith Framework: Dynamically adapts coaching based on user tone, relationship stage, and emotion.
  • RAG Pipeline with SuperNatural: Integrates verified dating advice into AI responses using Retrieval-Augmented Generation.
  • Encrypted Chat History: Stores messages on IPFS and logs hashes on-chain, ensuring transparency and user control.
  • Contextual Advertising Engine (opt-in): Analyzes chat persona, age, tone, and preferences to generate intelligent ad targeting.

4. Project Description

Valhalla is not just an AI dating chatbot—it’s a trust-preserving co-agent that lives on the Hyperion AI stack. Instead of sending data externally to OpenAI or other models, Valhalla uses Hyperion’s Co-Agent framework for AI coaching. The Alith layer ensures emotionally sensitive, personalized conversations at scale.

Valhalla’s architecture features:

  • Scalable AI Coaching: Built on Hyperion’s parallel execution engine to support 1-on-1 and group coaching in real-time.
  • Hybrid Storage: Encrypted messages are stored on IPFS, with storage orchestration powered by Hyperion’s in-review DB modules.
  • Web2 UX, Web3 Backbone: Users can chat like they would on any app, while privacy and security are guaranteed via blockchain.

5. Community Engagement Features

Gamified onboarding and contribution rewards:

  • :brain: Start your first AI chat (10 pts)
  • :speech_balloon: Ask 5+ thoughtful questions (20 pts)
  • :locked_with_key: Save conversation on-chain (30 pts)
  • :memo: Submit feedback (20 pts)
  • :loudspeaker: Share a campaign tweet (15 pts)

Points can be exchanged for:

  • Exclusive NFTs
  • Airdrop eligibility
  • Premium access to advanced coaching sessions
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Hello @Dewey ,

Since dating advice is highly personal, how does Valhalla ensure user data privacy while storing and retrieving past chats from IPFS?

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