From Prompt to Pipeline: A Live AI Automation & Design System Workshop
Details
Hosted by Bryana Rodriguez, Chris D'Antonio, and Prof. Kevin Park
NYIT, 16 W 61st St, 11th Floor
March 23 | 6:30 – 8:30 PM
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AI is no longer just a tool. It is infrastructure.
This hands-on session explores how UX and product designers can build real, production-ready AI systems that automate content, generate design assets, and orchestrate workflows across platforms.
You won't see slides. You'll see working systems.
Bryana Rodriguez, UX engineer and AI specialist, will demo her graduate thesis project built with n8n: an AI-driven content automation pipeline that pulls live trends, processes structured data, generates multi-platform outputs, and measures performance — fully operational, end-to-end.
Chris D'Antonio, UX engineer and AI specialist, will demonstrate Claude Code-to-Figma MCP workflows, showing how structured prompt logic moves directly into interface components and scalable design systems — from reasoning to visual output — seamlessly connected.
Together, they'll frame the session around AI as design infrastructure, including:
- Building agent-based workflows for creative teams
- Orchestrating high-volume automation systems
- Moving from one-off prompts to repeatable pipelines
- Designing systems, not just screens
What You'll Experience
Live n8n Automation — Watch a real AI pipeline ingest data, generate outputs, and route content across platforms in real time.
Claude → Figma MCP — See how prompt-driven logic transforms into interface components and structured design systems.
Agent Thinking for Designers — Understand how LLMs can function as decision layers inside workflows, not just isolated chat tools.
Systems Over Tasks — Learn how to redesign your digital workflow so AI handles the noise while you focus on high-level thinking.
By the end of the session, you'll have a clearer picture of how to design autonomous systems that scale your work.
Laptop required. This is a hands-on workshop.
Light refreshments and networking to follow.