AI Architect & CTO-Level Delivery Partner
We design and ship production-grade AI systems — real-time agents, governed data layers, and operational AI infrastructure built to survive production.
Meet the Builder
Emilio Taylor is an AI architect and delivery leader with 20+ years of experience building and shipping complex systems — including a decade as a Senior Technical Program Manager at Amazon.
He doesn't operate as an advisor removed from implementation. He architects and builds systems directly. Current capabilities include:
- →Real-time agent systems — LiveKit Agents SDK, multi-modal pipelines, and low-latency orchestration
- →Governance-first data architecture — Supabase RLS/RPC, role-scoped access policies, audit-ready boundaries
- →Avatar and video agent delivery — LemonSlice-powered conversational interfaces
- →Operational orchestration layers — n8n workflows, Cassidy AI assistants, and structured automation systems
Every system demonstrated on this site was built and shipped. You can watch the architecture and delivery process publicly on YouTube.
What We Deliver
Production AI systems that operate under real load — not just controlled demos. We operate alongside your team from prototype through governance to production launch — with clear system boundaries and documented handoff.
How We Work
Prototype fast. Govern early. Ship to production.
We operate as a delivery partner — hands on the keyboard, accountable for the outcome.
Ready to Deliver Something Real?
Let's map your use case to the right production architecture — and build something that survives deployment. Architecture reviews and first calls are free.
Who This Is For
We work best with teams that:
- Are serious about shipping AI to production
- Need architectural clarity before scaling
- Value governance, performance, and system discipline
- Want a delivery partner, not just a slide deck
What Sets Us Apart
Production-Minded Engineering
We build systems designed to run reliably under real load — monitored, governed, and cleanly handed off.
Governance-First
Data boundaries, access policies, and AI constraints are defined before scale — not retrofitted after incidents.
Build Out Loud
We document and share our builds publicly — so you can evaluate our thinking, architecture discipline, and delivery style before engaging.
Learn more about our services: