Production AI systems — real-time agents, governed data workflows, automation infrastructure, and full-stack AI products. Built with LiveKit, Supabase, LemonSlice, OpenAI, and orchestration layers like n8n and Cassidy.
A production-grade executive intelligence agent that joins meetings in real time, surfaces governed business context, and generates structured follow-ups within defined policy boundaries. Built on LiveKit Agents SDK with Supabase for role-scoped memory and LemonSlice for avatar delivery. Demonstrates real-time AI operating inside enterprise data constraints.
An AI workflow system for healthcare contexts that enforces strict data boundaries using Supabase Row-Level Security and RPC functions. AI surfaces only what each role is permitted to see — patient summaries for clinicians, aggregate views for administrators. Designed to demonstrate governance-first AI architecture for regulated environments.
A real-time voice agent built with LiveKit and LemonSlice that manages full multi-turn order flows — selection, customization, confirmation, and routing to fulfillment systems. Demonstrates low-latency conversational AI, state management, and tool-driven orchestration in production-like conditions.
A full-stack AI application demonstrating conversational recommendation engines, user preference modeling, and persistent AI memory. Built using modern AI SDK patterns with OpenAI and Supabase for scalable deployment.
A live AI-powered career planning platform demonstrating full-stack AI product development — including AI-assisted workflows, governed user data storage, and production deployment. Represents an end-to-end example of AI product architecture from concept to real users.
Each system above is not just a demo — it represents a production pattern:
We build systems that survive production — not experiments that stall after the prototype.
Bring your workflow, AI feature, or system challenge. We'll scope the architecture, prototype responsibly, and show you what production-grade delivery actually looks like.
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