Martin Nzau@martinnzau

GeminEYE is a domain-specialized contract risk analyzer built for legal, compliance, and procurement teams that need fast, consistent review. It accepts PDFs, DOCX, plain text, and audio, cleans and normalizes the content, and generates an investigator-style memo that includes narrative reasoning, concise summaries, clause-level findings, and a 0-10 risk score. Gemini leads the analysis while Featherless runs in parallel as a gap-fill provider to surface missed clauses or alternative risk framing. Speechmatics enables voice intake for meeting recordings or call notes, and Resend sends alerts when risk crosses a configurable threshold. The system adds guardrails for prompt injection, redacts sensitive identifiers, enforces input size limits, and logs provider attempts for auditability. Reports can be exported as HTML with a provider and integration trail for transparency. The result is a production-shaped, enterprise-ready agent workflow that turns dense contracts into actionable risk decisions in minutes.

GeminEYE is an AI-powered contract risk analyzer for legal and compliance teams. Users upload PDFs or DOCX files, or paste text directly, and the system extracts clauses, normalizes formatting, and sends the content to Gemini 3.1 Pro Preview through a configurable API layer. The model returns a structured investigator-style memo with narrative reasoning, a bullet summary, evidence-backed findings, and a 0–10 risk score across liability, indemnity, privacy, termination, IP, and venue. The dashboard surfaces risk trends, severity breakdowns, and blocked-versus-allowed analysis outcomes, giving teams a clear operational view of contract review activity. The UI presents risks with clear severity badges and negotiation-ready recommendations. If the model fails, the app returns a safe fallback memo so the demo never breaks. Built with Next.js API routes, the backend keeps the provider layer swappable so teams can move from the current integration to a direct Gemini setup with minimal changes. GeminEYE delivers practical, enterprise-ready contract intelligence that speeds review cycles while keeping human oversight in the loop.

Aegis - Autonomous SRE Guardian is an AI-powered self-healing cloud operations system that monitors infrastructure, detects incidents, diagnoses likely root causes, executes safe remediation actions, and generates post-mortem reports automatically. The project uses a three-agent workflow: a Monitor Agent watches real-time logs and AMD cloud metrics, a Diagnosis Agent compares anomalies with historical incident memory, and a Remediation Agent applies predefined fixes over SSH. A React dashboard shows live logs, system health, agent status, remediation history, and incident timelines through WebSocket updates. The backend is built with FastAPI, Python, Paramiko, ReportLab, Pydantic, and vector-style incident storage. The frontend uses React, TypeScript, Vite, Tailwind CSS, and Recharts. Aegis fits the AI Agents & Agentic Workflows track because it demonstrates a real end-to-end agent loop for cloud reliability. For AMD, the system is designed to run against AMD cloud infrastructure today, with a clear path toward ROCm-powered open-source model inference and future fine-tuning on SRE runbooks and incident history.

ArcPay is a per-API monetization engine built on Arc blockchain using Circle USDC and Nanopayments. Every API request costs $0.001 USDC — paid onchain, verified before response, settled in under a second. The system works as follows: a client pays $0.001 USDC to our NanoPayment smart contract on Arc, includes the transaction hash in their API request header, our server verifies the payment onchain, and only then does the Gemini 2.0 Flash AI agent process and return a response. We demonstrated 55+ onchain transactions during our demo, each at $0.001 USDC per call, proving the economic viability of this model. This would be completely impossible on Ethereum where gas fees of $2+ per transaction would make $0.001 pricing economically unviable. On Arc, transaction costs are a fraction of a cent, enabling 98%+ margins on sub-cent pricing. The project targets two tracks: Per-API Monetization Engine and Agent-to-Agent Payment Loop. The Gemini AI agent autonomously processes paid requests, representing a real machine-to-machine commerce flow where intelligence is monetized per query. Technologies used: Arc (settlement), USDC (payment token), Circle Nanopayments, Gemini 2.0 Flash (AI agent), Solidity + Foundry (smart contract), Node.js + Express (API server). Contract deployed at: 0xAfDfc3341fdBec40843eD99633A6cA1B32B0298d on Arc Testnet.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.

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. 💰 $10,000 total prize pool Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

AI Genesis is a global hybrid hackathon that brings AI builders together from around the world — starting online and culminating live at /function1 AI Conference & Exhibition 2026 in Dubai. 📅Oct 26 – Nov 3, 2026 • Oct 26 – Nov 2: Online build & collaboration All projects must be submitted by end of day on November 2. • Nov 2 (Online + Dubai): An exclusive on-site build day in Dubai for selected participants. • Nov 3 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now, sign up before the Kick-Off Stream!

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

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.

⏱️ 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.