I got 19,000 new subs, 11.1M views, and 60.4k watch hours in the past 17 days on a previously dead youtube channel and every single video was 100% AI generated (screenshot proof is attached to this post). And I’m going to walk you through step by step how I did it. No gatekeeping lol. Background: This is a client I'm working with who's in the franchise space. He had basically nothing on socials - 300 subs on YouTube with a couple random videos that had a few hundred views. Here's exactly what I did. Step 1: Content Research First thing I did was figure out what's already working super well in his niche. I went and searched terms like "franchise," "top franchises," "how to open a franchise," "franchise mistakes," "best franchises" on Instagram and TikTok. I went through and saved the top ~50 videos I saw with the most likes and views that were talking about franchise related topics. Step 2: Find the Patterns After I had those ~50 videos, I re-watched each one and wrote down the common patterns I saw. I figured out they fell into 4 main types of content that work really well in the franchise space: 1. Comparing franchises to other franchises (McDonald’s vs Burger King etc) 2. Case studies on a specific franchise (how much money a Popeyes makes) 3. listicles (top 3 franchises, worst 3 franchises etc) 4. Comparing franchises vs other opportunities (franchises vs real estate, etc) Each of these types of content also had 1-3 video formats that were popular. Talking directly to the camera, talking back and forth with a clone of yourself, etc Step 3: Plan the Content I took each of those 4 buckets and planned out 16 videos total - 4 per week. I paid really close attention to the specific elements of the videos from my research that did super well. I saw multiple videos pop off talking about "how much it costs to open a Chick-fil-A franchise." Then another one went viral about "how much it costs to open a Wingstop and how much it makes.” So I took the viral pieces from each video, and used those as my guide for coming up with the ideas.

Finance team drowning in receipt emails. 450 monthly. Manual processing creating problems. Same receipt submitted multiple times. Different clerks processing independently. Duplicate reimbursements happening regularly. Built n8n expense automation with duplicate detection. THE BREAKING POINT: Accounting processing receipts via email. Download PDF. Read merchant and amount manually. Type into spreadsheet. Check if compliant with policy. Determine approval tier. Send to appropriate manager. Wait for approval. Process reimbursement. 15 minutes per receipt. No system checking for duplicates. Employee submits Uber receipt Monday. Clerk processes. Same employee forwards same receipt Friday. Different clerk processes again. Duplicate payment issued. 37 duplicate reimbursements first year. $4,200 paid twice for same expenses. Discovering duplicates weeks later during reconciliation. Awkward conversations requesting refunds from employees. Policy enforcement inconsistent. $75 meal approved by one clerk. Identical amount flagged as violation by another. Employees confused about actual limits. Compliance suffering. THE n8n WORKFLOW: 13-node automation handling complete expense lifecycle. Gmail monitoring catches receipt emails automatically. Downloads PDF attachments. Extracts structured data - merchant, date, line items, subtotal, tax, total amount. No manual typing required. Duplicate detection fingerprints each receipt. Merchant name combined with date and total creates unique identifier. System checks against every previous submission. Match found, flags as duplicate, prevents reimbursement. Policy validation applies company expense limits automatically. Meals: $50 maximum. Lodging: $200 maximum. Transportation: $100 maximum. Office supplies: $500 maximum. Other expenses: $100 maximum. Category assignment uses merchant intelligence. Restaurant names trigger meal category. Hotel names trigger lodging category. Uber, Lyft, taxi trigger transportation. Office Depot triggers office supplies. Automatic categorization every time.