Muhammadabdulloh Nozimjonov@simon4ik

Trustless AI Agent is a demonstration of agentic commerce, showing how autonomous AI systems can transparently price tasks and settle payments in USDC on the Arc blockchain using Circle’s developer infrastructure. The project addresses a common problem in AI services: pricing trust. Users often do not know how much a task should cost, while developers struggle to implement fair, usage-based billing. This challenge becomes more important in agentic systems, where AI agents act autonomously and interact with financial infrastructure. In this system, a user submits a task through a simple frontend. The backend calls Gemini to analyze the input and classify its complexity as LOW, MEDIUM, or HIGH. Based on this classification, the AI suggests whether the task should be free or paid and proposes a USDC amount. To keep the system trustless, the AI never directly controls payments. The backend enforces deterministic guardrails using a fixed pricing table. Even if the AI output is incorrect or attempts to overcharge, the backend corrects it before any transaction occurs, ensuring predictable and auditable behavior. If payment is required, the backend executes a USDC transfer using Circle Developer-Controlled Wallets, settling the transaction on Arc Testnet. Wallet balances can be queried to verify that funds were transferred correctly, demonstrating real onchain settlement. Circle Product Feedback This project uses Arc Testnet, USDC, and Circle Developer-Controlled Wallets. Circle Wallets enable secure, programmable wallet management suitable for autonomous agents, while USDC provides stable pricing for pay-per-task models. Wallet creation, balance checks, and transfers worked well. The main challenge was limited Arc-specific end-to-end examples. More agent-focused reference implementations would improve the developer experience.

1️⃣ Purpose of the AI Onboarding Agent Your AI agent is designed to replace repetitive manager tasks when onboarding a new employee. Traditionally, a manager must: Welcome the employee Explain company rules, culture, and policies Introduce tools and accounts (email, Slack, project tools) Schedule meetings with team members Provide checklists and first-week plans Answer all onboarding questions This takes hours per new hire, is repetitive, and sometimes inconsistent. The AI agent automates all of this, acting like a virtual manager that works 24/7. 2️⃣ How It Works Step 1: Collect Employee Info From the frontend form, the AI agent receives: Name Role Department Manager Start date This information is enough for the agent to generate a personalized onboarding experience. Step 2: IBM watsonx Orchestrate Integration The AI agent calls a pre-built workflow in Orchestrate. The workflow handles: Generating a welcome message Creating a role-based onboarding checklist Scheduling introductory meetings Preparing Slack/Teams introduction messages Providing documents, tool instructions, and first-day plans Orchestrate links all these tasks in a chain, so everything happens automatically without manual intervention.

Health Guardian AI is an AI-powered medical understanding and assistance platform designed to help individuals interpret their medical reports in clear, human-friendly language. Many patients receive lab results and diagnostic files full of medical terminology that can be confusing, stressful, or misinterpreted. Our application enables users to upload text or image-based medical reports, automatically extract and analyze content, detect key medical findings, identify associated risk levels, and present results in a simplified and structured format. The platform also generates personalized care plans, covering lifestyle guidelines, diet and nutrition, activity recommendations, and medical follow-up reminders, while clearly stating non-diagnostic safety disclaimers. It further offers an interactive AI health chat assistant trained to provide supportive and educational responses and guide users toward proper medical consultation when needed. Our mission is to empower users with medical awareness, reduce misunderstanding and anxiety, bridge the communication gap between patients and healthcare providers, and assist with informed health discussions, all while maintaining privacy, accuracy, and ethical responsibility.

Join Deriv and lablab.ai for a high-intensity hybrid hackathon where top builders create AI prototypes, demo their work, and get fast-tracked to interviews. When • Sat, Jan 31, 2026- On-Site Pre-Hackathon: Deriv AI Meetup (Dubai) • Fri, Feb 6 - Opening words, Challenge, and Hackathon kick-off. (Dubai) • Sat, Feb 7 - Build and ship your prototype - 12 hours (Onsite +Online) • Sun, Feb 8 - Demos, judging, and next steps for standout teams. (Onsite +Online) On-Site Pre-Hackathon: Deriv AI Meetup Sat, Jan 31, 2026 · 2:00–6:00 PM (GST) · Dubai In-person talks, workshops, team formation, and networking with the Deriv team. 👉 Deriv AI Meetup registration What's in it for you • USD $10,000+ in prizes across categories • Mentors available to unblock you when you're stuck • Fast-track interviews for top performers - skip the queue • Real problems to solve - not toy demos Format • Teams of 1-3 • Hybrid: Dubai on-site or fully remote • On-site spots confirmed after screening Location • One by Omniyat, 24th Floor, Al Mustaqbal Street, Business Bay, Dubai, UAE • Travel and accommodation not provided. Apply now • Spots are limited. Shortlisting begins right after the event.

In this hybrid hackathon powered by Arc, developers will build the next generation of agentic commerce systems using Arc with USDC. Explore a world where AI agents and web services can pay for APIs, data, compute, and content in dynamic, usage-based ways, while Arc provides stablecoin-native settlement with predictable USDC fees and deterministic, sub-second finality. This hackathon is supported by Google & Google DeepMind, with a dedicated challenge and $40,000 in Google Cloud Platform (GCP) credits awarded for the best use of Gemini models and Google AI Studio. 📅 January 9 – 24, 2026 • Jan 9 – 23 (Online Phase) – Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on January 23rd. • Jan 23 (On‑site Build Day – San Francisco, CA) – Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Jan 24 (On‑site Demos & Awards – San Francisco, CA) – Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (Jan 23–24): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆Compete for $50,000 in USDC & GCP Credits. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now - sign up before the Kick-Off Stream!

⏱️ You’ve got 48 hours - create, build, and launch! 🌟 Get direct access to Qubic, mentors, and ecosystem support. 💰 Compete for your share of $44,550 in prizes across two tracks. 🤝 Work solo or team up to design the next wave of blockchain innovation. 🧑‍💻 Sign up and start building on one of the world’s fastest decentralized networks..