
12
2
United States
8+ years of experience
Ken Huang is a prolific author and leading expert in AI and Web3. He serves as Research Fellow and Co-Chair of AI Safety Working Groups at the Cloud Security Alliance, Co-Chair of OWASP's AIVSS project, and Co-Chair of the AI STR Working Group at the World Digital Technology Academy. As Adjunct Professor at the University of San Francisco, he teaches graduate courses on Generative AI for Data Security. Huang is CEO and Chief AI Officer of DistributedApps.ai, specializing in generative AI training and consulting. He's a core contributor to OWASP's Top 10 Risks for LLM Applications and participates in NIST's Generative AI Public Working Group. Selected Books: Securing AI Agents (Springer, 2025) Agentic AI: Theories and Practices (Springer, 2025) LLM Design Patterns (Packt, 2025) Generative AI Security (Springer, 2024) The Handbook for Chief AI Officers (DistributedApps.ai, 2024) Web3: Blockchain, the New Economy, and the Self-Sovereign Internet (Cambridge, 2024) Blockchain and Web3 (Wiley, 2023) Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow (Springer, 2023) A globally sought-after speaker, Ken has presented at RSA, OWASP, ISC2, Davos WEF, ACM, IEEE, Consensus, CSA AI Summit, DTCC, and the World Bank. He's also a member of the OpenAI Forum. Explore Ken's books: https://www.amazon.com/author/kenhuang

Vantage is a comprehensive AI editorial assistant designed to revolutionize how we interact with documents. While traditional tools focus on grammar, Vantage uses the full spectrum of the Google Gemini API to act as an active, multimodal collaborator. The application integrates directly with Google Drive to solve complex writing challenges through five powerful engines: Deep Polish: Leveraging Gemini 3.0 Pro Preview with "Thinking" enabled, Vantage doesn't just edit; it reasons through your document's structure to provide world-class rewrites and stylistic critiques. Nano Banana (Visual Intelligence): The app analyzes your text context using Gemini 3.0 Pro to suggest relevant visual assets, then instantly generates them using Gemini 2.5 Flash Image, allowing for one-click insertion into the document. Real-time Voice Review: Powered by the Gemini Live API, users can "talk to their document." This low-latency audio interface allows you to brainstorm, summarize, and query your document hands-free, just like speaking to a co-author. Fact Checking: Built-in Google Search Grounding scans the text for factual claims and verifies them against the web, providing citations to ensure accuracy. Smart Collaboration: Vantage proactively resolves existing comments and suggests new improvements for tone and clarity. Vantage demonstrates the future of productivity by seamlessly combining text, image, and audio intelligence into a single, cohesive workspace.
19 Nov 2025

ArcMind Collective is a multi-agent coordination system built on Circle’s Arc Layer 1 blockchain to bring intelligence and transparency to decentralized trading. Traditional DeFi systems execute transactions but lack semantic understanding for matching intents, assessing risks, or verifying off-chain payments. ArcMind Collective solves this by introducing AI-driven agents that analyze, match, and settle trading intents autonomously while maintaining verifiable on-chain workflows. The system includes six specialized agents—Matching, Market, Fraud, Risk, Settlement, and Liquidity—coordinated through a LangGraph state machine. These agents work together to interpret trading intents, detect fraud patterns, evaluate counterparty risks, verify pricing, and manage atomic settlements. The PaymentRouter oracle bridges off-chain fiat payments (via AP2 or Stripe) with on-chain USDC settlement on Arc, enabling seamless fiat-to-crypto coordination. Each agent produces explainable reasoning traces and confidence scores that are visible to users through a real-time dashboard, ensuring clarity and trust at every step. Built with Solidity, FastAPI, LangGraph, and Streamlit, the platform combines smart contracts for escrow and intent registration with asynchronous Python-based orchestration. The system executes matches in under five seconds and maintains full auditability through Arc’s transparent infrastructure. The complete open-source codebase, documentation, and demo are hosted publicly for review and interaction. ArcMind Collective targets developers, traders, and financial institutions that need smarter, safer, and faster coordination of intents and settlements. It offers commercial potential as a developer SDK, matching-as-a-service layer, and risk analytics API for intent-based markets on Circle’s Arc blockchain. Future plans include adding compliance and tax agents, expanding to NFT and multi-token intents, and launching the mainnet version with liquidity partners.
8 Nov 2025