Lucy Low@lowcy

CLOSET.OS is an AI-powered wardrobe operating system that turns a user’s closet into a smart, sustainable styling assistant. Users upload photos of garments once; five collaborating AI agents then tag items (Garment Vision), fetch weather and calendar context (Weather & Calendar), generate daily outfit recommendations (Stylist), identify wardrobe gaps with shopping suggestions (Gap Analyst), and track usage for sustainability insights (Sustainability). A FastAPI orchestrator and PostgreSQL backend coordinate agent calls and persist the wardrobe, while a React Native mobile app (Natively.dev) provides a polished user experience. Built entirely inside a single Complete.dev workspace, CLOSET.OS demonstrates an end-to-end, production-minded flow—agents, API, mobile app, and go-to-market assets (website, pitch deck, PR). The product reduces overbuying, increases outfit variety, and creates revenue through a freemium subscription and affiliate shopping links. Ideal for fashion-conscious, sustainability-minded users, CLOSET.OS showcases practical multi-agent collaboration solving a real-world problem with measurable environmental and commercial impact. Built entirely in Complete.dev—from system architecture to mobile app to marketing website and pitch deck—CLOSET.OS demonstrates true end-to-end, multi-agent product execution. It is not just a demo, but a scalable AI application designed for real users, real workflows, and real business potential.

Imagine you are a user struggling with a failed NFT transaction on Solana. Traditionally, this would mean opening support tickets, waiting for days, and often losing trust in the platform. RUSH changes this narrative by providing voice-first, AI-powered support that acts in real time to help users navigate blockchain complexities effortlessly. RUSH empowers users with natural language voice interaction powered by three specialized AI agents orchestrated seamlessly with Coral Protocol. By integrating state-of-the-art speech recognition, artificial intelligence reasoning, and direct blockchain execution, RUSH delivers real-time problem resolution coupled with actionable, on-chain operations. The Listener Agent converts speech to text and then back into natural voice responses. The Brain Agent comprehends user intent, emotional context, and blockchain specifics to devise actionable plans. The Executor Agent directly interacts with the Solana blockchain, verifying transactions, minting NFTs as apologies, and executing refunds instantly. This multi-agent collaboration provides instant, voice-driven support, reducing wait times dramatically and delivering real-time, automatic compensation through blockchain-native assets. Our dynamic, responsive dashboard reveals real-time analytics from RUSH’s four virtual machines orchestrating routing, compliance, risk management, and treasury operations. This provides critical insights for platform operators to monitor performance and enhance security continuously. Thank you for joining this demo of RUSH — where cutting-edge AI and blockchain technologies unite to revolutionize how users receive support in Web3. We’re excited to pioneer this new era of seamless, human-centric, decentralized customer service.

SafeBridge: AI-Powered Sentinel for Qubic Cross-Chain Security SafeBridge is a revolutionary AI-driven security auditor built for the Qubic ecosystem, specifically targeting the critical vulnerabilities plaguing cross-chain bridges. It transforms slow, manual audits into a real-time, automated defense system. Leveraging Qubic's unmatched speed (40M TPS) and C++ smart contract environment, SafeBridge proactively hunts for exploits like reentrancy attacks, logic flaws, and consensus exploits in bridge contracts. SafeBridge is an automated security sentinel for Qubic-to-EVM blockchain bridges, using AI-augmented static/dynamic analysis to hunt critical vulnerabilities like reentrancy attacks, logic flaws, and consensus exploits in C++ smart contracts. It scans contract code (e.g., detecting unsafe patterns like untrusted external calls before state updates via Clang AST parsing) while cross-referencing 500+ historical exploit signatures. Core Innovation: AI-Powered Analysis: Advanced ML models scan C++ bytecode (non-EVM), cross-referencing 500+ historical exploit signatures and simulating live attacks. Qubic-Optimized Architecture: Utilizes direct memory scanning, Qubic's tick-based system for replay protection, and CPU-oriented processing for deep vulnerability detection. Radical Efficiency: Employs a novel 64-bit vulnerability bitmask compression, reducing audit report storage by over 90%. Real-Time Protection: Continuous monitoring provides immediate alerts on threats, while exploit simulation allows safe testing of fixes. Impact: SafeBridge prevents catastrophic financial losses (historically $2.8B+ annually from bridge hacks) by identifying critical vulnerabilities before exploitation. It generates plain-English risk reports (e.g., "Critical: Unprotected withdraw()"), transforming complex audits into actionable insights. This fosters trust, accelerates secure DeFi development on Qubic, and establishes a new standard for proactive cross-chain security.

Sonovate is an innovative platform designed to revolutionize the Hollywood content creation and distribution landscape by integrating cutting-edge AI and blockchain technologies. Our platform empowers creators by enabling them to generate compelling storylines through AI-driven prompts, employ deepfake casting for more versatile and diverse character portrayals, and utilize crowdfunding mechanisms to greenlight projects directly by the audience. This democratizes the entire filmmaking process, breaking down traditional barriers and allowing for a wider range of voices and ideas to be heard. By facilitating direct interaction between creators and consumers, Sonovate ensures fair monetization, transparent intellectual property management, and efficient distribution of content. This creates a vibrant ecosystem where creativity thrives, and innovation is the norm, making high-quality filmmaking accessible to all.

Leverage the power of Large Language Model Vectara to automate and streamline the patent litigation workflow by automating text generation in your patent applications for prior art search, patent drafting, patent analysis, and subject matter categorization. The platform aims to save time, reduce costs, and improve the overall effectiveness of patent litigation processes built by integrating cutting-edge technologies such as Vectara, a large language model, with patent-specific datasets obtained from Google Patents. Improve accuracy by reducing errors caused by manual entry. Minor inconsistencies can lead to costly litigation- minimizing trivial errors, increasing technical accuracy and focusing on the patent application quality reducing poor patent decisions in the absence of patent analytics. Avoid costly mistakes down the line with filing patents. Cost-effective reviews of their patent applications and analyze them in minutes. Time-savings and improved accuracy translate to direct savings and increasing accessibility of patents in the process. Generate text based on patent claims with RAG and grounded generation to eliminate hallucinations with a text corpus from Google Patents. Creating a system for generating text based on patent claims using RAG and grounded generation, coupled with a text corpus from Google Patents, can significantly improve the quality and reliability of generated content. By incorporating grounding techniques, such as fact-checking against a reputable corpus, you can mitigate hallucinations and ensure that the generated text is based on factual information. The retrieval component can use the structured corpus data to find relevant information related to a specific patent claim. Implement fact-checking mechanisms to validate the accuracy of the generated text. If the generated content contradicts the corpus data, the system should flag or modify it.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88

Teams work together with multiple AI agents in shared workspaces to design, build, and launch complete AI products — from initial idea to market-ready app. 📅 February 23– March 1, 2026 ⏱️ 6 days to build and ship an end-to-end agentic AI product 🤝 Work together in shared AI workspaces where your team and AI agents collaborate in real time 🔧 Build with multiple AI agents that handle development, design, testing, and documentation together 🎯 Create everything in one place — from ideation to product to marketing materials, all by prompting and observing 🚀 Focus on real-world products that teams could actually ship and use 🏆 $3,500 in prizes + premium 3-month Complete.dev access for top teams 🧑‍💻 Join your team workspace and start building together