Ezekiel Samuel@samkiel

Most people have a legitimate complaint against a bank, telco, utility provider, landlord, or government agency but have no idea how to formally escalate it. They either give up, send an ineffective email, or don't know which regulatory body to contact. Redress solves that. Redress is a full stack web application powered by an AI agent that guides users through a three-stage complaint resolution flow. In the first stage, the agent understands the complaint by asking up to three targeted clarifying questions to gather the key details. In the second stage, it generates a professionally structured formal complaint letter with the correct recipient, recommended sending channel, and relevant regulatory body details for that country and sector. In the third stage, if the user indicates their complaint was ignored, the agent generates an escalation letter addressed directly to the regulatory body, including step-by-step filing instructions. Every letter is displayed on screen and available as a downloadable PDF. Users can manage multiple complaints, view their full history, and track the stage of each case. The agent uses Tavily web search to fetch live regulatory body contact details, making it accurate for any country and any sector including banking, telecom, utilities, housing, government services, and e-commerce. Built with Next.js 16 App Router, MongoDB, NextAuth with Google OAuth, Zustand, Tavily, and jsPDF. The agent logic lives entirely in server-side Next.js API routes calling the LLM, with the AMD Developer Cloud API as the intended provider. Note: AMD Developer Cloud credits were applied for on May 5th but were not received before the submission deadline despite following all required steps. The agent is fully compatible with AMD's OpenAI-compatible API and can be switched by updating two environment variables.

📅 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. 🏆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: Onsite Build Day. May 20: Demo Showcase & Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 💰 $28,000+ 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.