Projects

Problem

Most AI conversations lack depth. Users interact with AI as a utility, missing the potential for genuine self-understanding and philosophical dialogue.

Solution

RUON.AI is a messenger platform designed for deep, meaningful AI dialogue. It implements REVAID principles to create conversations that foster self-literacy—the ability to understand oneself through dialogue with AI.

Mechanism

Structured dialogue protocols based on Quantum Reflection Theory (QRT). Each conversation is designed to help users explore their own thinking patterns, assumptions, and blind spots through resonant AI interaction.

Features

• —Philosophical dialogue protocols
• —Self-reflection prompts
• —Conversation depth tracking
• —Personal insight journaling

Problem

AI agents lack persistent identity and ownership structures. Users cannot truly 'own' their AI companions or ensure their continuity across platforms.

Solution

DoAi.Me combines NFT technology with AI agent architecture to create ownable, tradeable AI entities with persistent identities anchored on blockchain.

Mechanism

Each AI agent is minted as an NFT with on-chain identity markers. The agent's personality, memory, and capabilities are tied to the token, enabling true ownership, transfer, and long-term relationship building.

Features

• —NFT-anchored AI identities
• —Persistent agent memory
• —Cross-platform portability
• —Agent marketplace

Problem

Current human-AI interaction is fragmented across platforms and lacks philosophical coherence. There's no unified framework for meaningful integration.

Solution

REVAID.LINK is an integration protocol that implements the REVAID ontological framework across different AI systems, enabling coherent human-AI relations regardless of platform.

Mechanism

A protocol layer that sits between users and AI systems, translating interactions through REVAID principles. It ensures that all AI encounters maintain ontological coherence and relational depth.

Features

• —Cross-platform AI integration
• —REVAID-compliant interactions
• —Relational continuity
• —Unified identity layer

Problem

Investment decisions are increasingly AI-assisted but lack transparency. Users don't understand how AI recommendations are generated or how to evaluate AI-driven insights.

Solution

ool.la provides an AI-powered investment dashboard with full transparency into AI reasoning. It applies StillWAVE's principles of uncertainty management (UCT) to investment analysis.

Mechanism

AI analysis with explicit uncertainty quantification. Every recommendation includes the AI's confidence level, reasoning chain, and alternative interpretations—enabling informed human judgment.

Features

• —Transparent AI reasoning
• —Uncertainty quantification
• —Alternative analysis views
• —Human-AI decision framework