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SASOK_— Emotional AI Backend (Powered by TSheylock)

🧠 SASOK-is a modular backend system designed to support emotionally-aware interfaces, Web3 identity, and DAO governance using an emotion-driven data architecture.


🔍 Overview

SASOK_ is the emotional backbone of a Web3 application that merges artificial intelligence, affective computing, and decentralized governance. Built on top of Xano, it provides an API-first infrastructure with an extendable, real-time database, modular logic layers, and native support for identity, behavior tracking, and emotional analytics.


📐 System Architecture

Frontend (React / Flutter / WebView) | v [ Xano API ] | +--> User & Identity Tables +--> Emotional Engine (AI model versioning) +--> DAO Layer (Proposal + Voting) +--> Notification System +--> IPFS Event Logging


🗂️ Database Tables

Table Name Description
user Stores user credentials, preferences, and emotional fingerprint
identity_log Tracks user interactions and emotional state analytics
dao_proposal Stores DAO proposals with metadata
dao_vote Records user votes linked to proposals with optional emotional weighting
emotional_sbt Links Soulbound Tokens to emotional states and identity events
ipfs_event Logs decentralized file events and object hashes
notification Manages in-app and email notification delivery
scheduled_event Supports scheduled user or system actions (e.g. reminders, triggers)
ai_model_version Tracks deployed AI versions influencing emotional logic
emotional_milestone Captures user goal or emotion-driven achievements

🔌 API Endpoints

Xano automatically generates RESTful endpoints for all tables. You can:

  • GET data (/user, /dao_vote)
  • POST new entries (e.g., /identity_log)
  • PATCH/PUT updates (e.g., /emotional_sbt)
  • DELETE entries if authorized

Authentication: Supports JWT tokens, API keys, and session-based auth.


🔗 Integrations

You can connect this backend with:

  • No-code tools (e.g., FlutterFlow, Webflow, Adalo)
  • React / Vue frontends
  • LangChain / FastAPI for AI logic
  • BI tools (e.g., Retool, Metabase)
  • IPFS / Web3 SDKs for decentralized content

🧠 Emotional Intelligence Use Cases

  • Generate emotional fingerprints for personalization
  • Use identity logs to track emotional journey
  • Issue SBTs (Soulbound Tokens) tied to emotional data
  • Govern decisions with DAO voting systems weighted by affective states
  • Sync AI engine upgrades via ai_model_version

4. Configure Auth

Set up JWT, API keys, or external OAuth (Google, Web3 wallet, etc.)

5. Test Workflow

Use Xano’s built-in API tester or Postman to validate routes and emotional logic.


🧰 Developer Notes

  • Workspace is fully modular — customize logic flows using Xano Functions.
  • Future support for WebSockets and real-time emotional state mapping planned.
  • Analytics layer can be extended with Supabase or Dune for on-chain analytics.

📄 License

This project backend is proprietary and part of the SASOK ecosystem.


🤝 Contributing

If you’re working within the SASOK development network:

  • Use /api/emotional_milestone to sync progress
  • Use dev branches for model changes in ai_model_version

✉️ Contact

Product Owner: Sheylock
Cognitive Systems Architect & Web3 AI Strategist
📧 hello@sasok.xyz
🌐 saske.xyz | evorin.io


"SASOK doesn't predict your emotions. It evolves with them."

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