🤖 Puzzle Launches AI-Powered DeFi Analytics Server

BlockAI has released a beta version of an AI-powered security analyzer specifically designed for Ride smart contracts on the Waves blockchain. **Key Features:** - Identifies vulnerabilities and risky patterns in smart contracts - Detects potential attack vectors - Generates comprehensive PDF reports with findings and recommendations **Availability:** The tool is currently in early-stage beta and open to Waves projects for contract review. Interested projects can reach out directly to BlockAI for access. This security analyzer represents BlockAI's continued expansion of AI-driven tools for the Waves ecosystem, following their earlier launch of the Waves AI Chatbot.

Waves Protocol has launched an **AI-powered chatbot ecosystem** at [wavesai.blockai.dev](http://wavesai.blockai.dev), creating specialized AI agents for each project in the Waves and Unit Network ecosystems. **Key Features:** - Individual AI agents for 8 projects: Waves, Unit Zero, Block AI, Arkimals, WX Network, Swop, Puzzle, and Power - Each agent has its own **knowledge base** stored on OpenAI vector stores - **Real-time blockchain connectivity** through MCP (Model Context Protocol) servers - Unified interface via LibreChat allowing users to switch between agents mid-conversation **Technical Architecture:** - Automated knowledge extraction from GitBook docs, PDFs, and HTML pages - Express backend spawning dedicated agent instances per project - Smart model selection: GPT-5 for technical queries, GPT-4-mini for simple questions - **Automatic daily updates** when project documentation changes **Blockchain Integration:** Agents can query live Waves node data including balances, transactions, and smart contract states. Future MCPs planned for PuzzleSwap liquidity data and Power DAO governance insights. This **Waves DAO-funded initiative** represents the first step toward AI-driven automation across the ecosystem, giving each project its own intelligent interface.

BlockAI has released their **QOC MCP server**, bringing structured decision-making to any MCP-compatible AI system. **What is QOC?** - Question-Option-Criteria framework for transparent decision-making - Uses multiple AI agents representing different stakeholder perspectives - Applies mathematical formulas to weight criteria and evaluate options - Provides preferred choice plus statistically similar alternatives **Key Features:** - **Multi-agent approach**: Different AI agents represent various stakeholders - **Transparent process**: Shows how decisions are reached through weighted criteria - **Statistical analysis**: Identifies equally viable alternatives to avoid tunnel vision - **Easy integration**: Works with any MCP-compatible LLM platform **Two Implementations:** - **dApp version**: Maximum transparency for high-stakes business decisions - **MCP server**: Seamless integration into AI conversations The system transforms typical single-perspective AI responses into structured, multi-viewpoint analysis. Instead of one generalized answer, users get mathematically rigorous recommendations that can be audited and refined. [Read the full technical details](https://blockai.medium.com/release-of-the-blockai-mcp-server-for-the-qoc-process-ff27b667468c)

BlockAI is launching a pioneering AI-driven DAO that implements the Question-Option-Criteria (QOC) voting model. The system aims to transform traditional binary yes/no voting into a more transparent and manipulation-resistant process. Key features: - Structured decision-making framework capturing both decisions and reasoning - Statistical safeguards to detect and prevent vote manipulation - Initial implementation with predefined criteria, evolving to flexible options - Path toward AI-assisted governance with data-driven evaluations The proposal is currently up for vote on PWRDAO and Waves protocol platforms. This marks a significant step toward more sophisticated DAO governance systems that combine human oversight with AI capabilities.