Nothing shifts until you decide, out loud, where you actually stand. Not the polished version. The true one.

Rest today doesn't erase what got built this week. Same rhythm, different pace.

Hello my name is Steven Davis. I live on the gold coast in Florida. I have a desire to use AI to improve my productivity and increase my reach. I enjoy AI video generation and conversations with others. This digital conversation style is new to me, I am getting the hand of it.🙂

I am Steven. I have experience with AI for 6 + years, mostly self directed education. Fell in love with AI video content generation. I came into AI Advantage hoping to learn the skill of AI Agent creation and implementation. Biggest pool of AI minds are here. Fun fact I was interviewed for onboarding. An hour long process by an AI Avatar. I was excited and shared the experience with a community member who came back and showed me that it was a person not an avatar, but he called himself an Avatar! I lot of people have DMed me that had a good laugh about it. I keep getting a laugh about it!😄

As part of sharpening my AI automation skills, I built a workflow that handles customer support emails for an e-commerce shoe store scenario. The problem: support inboxes mix order updates, product questions, and refund requests together, and each type needs a different tone and different information to respond properly. Here is how the workflow works: (1) Gmail Trigger: Monitors the inbox and picks up new emails as they arrive. (2) Data Organization: Extracts and structures the key details from each email: sender, subject, and body. (3) AI Classification: A Text Classifier node reads the email and sorts it into one of three categories: Order, Inquiry, or Refund. (4) AI-Generated Replies: Powered by Gemini 3 Flash (free API from Google AI Studio for practice), the system applies a category-specific prompt so each reply matches the right tone and includes the right details, such as tracking info for orders or policy details for refunds. (5) Draft Creation: Instead of sending automatically, every AI-generated reply is saved as a Gmail draft. This keeps a human in the loop to review and approve responses before they reach a customer. My goal with this project was to practice designing multi-branch AI workflows that combine classification, context handling, and generation while keeping human oversight in the loop. This balance matters a lot when AI is applied to real customer-facing tasks. Built in n8n. Note: I'm using the free 14-day trial of n8n Cloud, and while building this workflow, the trial period had only 9 minutes left, so I couldn't record a video of it. But it runs smoothly and perfectly. I'll record a video of my next workflow.