Project 1: Getting Started with AI Agents - Moodboard Generator

In this project, you’ll build your first AI agent: a Moodboard Generator that turns simple prompts like “modern living room with warm colors” into visuals. By setting up your workspace in n8n and running your first workflow, you’ll see how ideas can instantly become outputs. What feels like a creative experiment is actually the foundation of Wayfair’s edge: turning abstract trends into concrete visuals fast. This hands-on win sets you up to build the more advanced agents that will track market shifts, monitor competitors, and generate insights that matter for Wayfair..

Project 3: Building the Competitor Monitoring AI Agent

In this project, you’ll shift from trend discovery to competitive intelligence: teaching your agent to think like a market strategist. Your agent will collect and analyze competitor product listings, new launches, price movements and reviews. The goal: to uncover what competitors are doing differently , how their customers are responding, and where Wayfair’s whitespace opportunities might lie. By the end of this project, your Competitor Monitoring AI Agent will surface actionable insights helping teams benchmark Wayfair’s products, spot early shifts in market positioning, and make faster, data-backed merchandising and marketing decisions.

Step 2: Plan Your Enhancement

I critically evaluated the agent's output and explored improvement directions focused on brand voice, new content types, and expanded inputs. I created a concrete enhancement plan that served as a blueprint for subsequent implementation.

Project 2: Building the Consumer Trend Discovery AI Agent

I developed a Consumer Trend Discovery AI Agent that analyzes real-world data to identify emerging product trends. By integrating data from sources like Amazon and design blogs, I enabled Wayfair to detect trends rapidly, providing insights that enhance merchandising and product decision-making.

Step 1: Explore the Agent Before You Shape It

I imported the AI Insights & Content Agent into my n8n workspace, exploring its node functionality with real data. I also studied Wayfair's brand voice across their blog and Instagram, identifying areas for the agent to improve in content quality and alignment with brand messaging.