What I Built
BINFLOW is an experimental Web3 OS that connects GPT-powered agents with Auth0-secured identities, creating a self-auditing economy of AI agents.
In simple terms:
It’s a world where every AI has a verified passport, every data point has a time label, and every transaction has a memory.
BINFLOW runs three intelligent agents:
Agent Role Function
🧩 Maker Creator Builds AI artifacts, workflows, NFTs
⚖️ Trader Economist Prices, trades, and balances token liquidity
🔒 Guardian Watchdog Enforces Auth0 policies, KYC, and RAG-level access limits
Together, they turn data into a living digital market — where each action, code snippet, or dataset carries measurable value.
Problem it solves:
AI agents today are powerful but dangerously blind. They can execute tasks, but they can’t be trusted with identity, money, or ownership.
BINFLOW fixes that by giving them Auth0-verified trust and blockchain-anchored accountability.
🧪 Demo
🔗 Coming soon: demo.binflow.ai
Prototype repo (public release Oct 25): github.com/sageworks-ai/binflow-auth0
🎬 Quick Preview
Login via Auth0 for AI Agents
Spawn a Maker Agent to create a smart contract or dataset
Auth0 verifies access scopes (preventing rogue actions)
Trader GPT evaluates value → converts compute into Data Credits (DCR)
Guardian GPT anchors audit trail → on-chain ERC-1155 NFT minted
Dashboard shows secure flow of data = money
Every transaction is Auth0-signed, AI-audited, and chain-recorded.
No dark agents. No ghost data.
🔐 How I Used Auth0 for AI Agents
Auth0 is the backbone of BINFLOW’s trust layer. Here’s how it runs under the hood:
Identity Fabric – Auth0 authenticates both humans and AI agents using Token Vaults.
Each agent has its own JWT with role-based scopes:
Maker → Create only
Trader → Value & swap only
Guardian → Audit & enforce only
Scope-Driven Access – Auth0’s policy engine limits what each agent can touch.
Example: Maker cannot pull raw user data or move tokens.
Token Vault Integration – Secrets, API keys, and blockchain signers are stored securely; agents call only approved endpoints.
Fine-Grained Authorization for RAG – Guardian applies contextual rules:
“If request → financial ledger → requires 2-agent consent.”
“If compute usage > budget → pause and report.”
Basically: Auth0 keeps the AIs on a leash — a very smart, time-aware leash.
🧩 System Diagram
┌─────────────┐ ┌─────────────┐ ┌──────────────┐
│ Auth0 ID │ ---> │ GPT Agents │ ---> │ Blockchain │
│ (Humans + │ │ (Maker/ │ │ (DCR Token, │
│ Agents) │ │ Trader/ │ │ NFT Ledger) │
└─────────────┘ │ Guardian) │ └──────────────┘
└─────┬───────┘
│
┌─────▼───────┐
│ Lavabo UI │
│ (User Flow) │
└─────────────┘
Auth0 = trust.
GPT = intelligence.
Blockchain = proof.
⚙️ Tech Stack
Layer Tech
Authentication Auth0 for AI Agents
LLM OpenAI GPT-4 (Custom Models)
Blockchain Base / Polygon (EVM)
Smart Contracts Solidity (ERC-20 Data Credits + ERC-1155 Artifacts)
Database Supabase / PostgreSQL
Frontend Next.js + Lavabo UI
Storage IPFS + Web3.Storage
Payments Stripe / USDC on-ramp
🧭 Lessons Learned and Takeaways
Security is not an afterthought — it’s the architecture.
Auth0 made me realize agents need identity before intelligence.
AI Agents + Web3 = Economic Consciousness.
When an AI pays for compute, it “feels” cost — and that changes behavior.
Botswana has builders.
This project started on a mobile hotspot in Maun. Innovation doesn’t need location permission.
The Future = Time-Labeled Intelligence.
With Auth0 verifying identity and blockchain verifying time, we can build systems that remember, reason, and regulate themselves.
⚔️ Closing Thought
“If you can teach an AI to remember who it is, when it acted, and why it’s allowed — you’ve built civilization in code.”
That’s what BINFLOW aims to prove.
👤 Peace Thabiwa
Founder – SAGEWORKS AI
📍 Maun, Botswana
📧 peacethabibinflow@proton.me
🌐 Coming Soon: binflow.ai
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