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The ultimate guide to product photos with Nano Banana Pro & N8N
Just added in this brand new automation JSON file inside the classroom with a full video breakdown of how to set it up. You can find it HERE If you or anyone you know sells any type of product or service online (Amazon, Shopify, Etsy, etc.) this is a plug-and-play workflow that can turn moodboards and reference photos into hyper-realistic photos that don't have any weird text mistakes or glitches that make photos look like AI. In my examples I show cinematic streetwear shots for a fashion brand that I worked with, but this can be used for all types of products and businesses. (Supplements, jewelry, fashion, tools & parts, etc.) Perfect timing for Cyber Monday and Christmas ads btw. Go run it. Break it. Integrate it into your N8N. I called it "internet money" because it's already made a few people their first money online from. It's now live inside the Classroom. 🔥 Let me know what automation you want next!
Getting the information to come out in Notion
Hi, I'm having problem getting the information from the twitter stories database to come out in notion. and them im getting an error on n8n "error fetching options from notion"
3M views in 3 months, all from this automation that snipes early trending stories on X
A few months ago, I noticed something. There’s this guy who calls himself RPN. If you’re chronically online like me and in the AI creator space, you’ve probably seen his posts. He’s always first on stuff. If OpenAI sneezes, he’s already got a 90-second video breaking it down. He recently was on a podcast with Greg Isenberg and said the only thing that made him successful was his speed in talking about new stories. In his words: “Speed isn’t about posting more. It’s about owning the 12–24 hour window when the internet’s still hungry for context about something.” So I decided to build an automation that helps me reach his level of speed in talking about new trending stories. ---- I call it my Social Media Story Scraper. Here’s what it does: 1️⃣ Scrapes 50-100 tweets every 5 minutes from specific X Lists with startups, founders, tech icons, and influencers. 2️⃣ Runs it through an AI Agent to detect what topics are starting to explode (not what’s already gone mainstream). 3️⃣ Clusters stories into early trend groups like “AI Video Gen with Sora" and brings back the top 10 hottest tweets. 4️⃣ Uses Perplexity AI to research each story and gather factual background. 5️⃣ Generates creative content ideas with hooks, angles, even suggested visuals. 6️⃣ Sends everything in a Newsletter style report to my email so I can have a daily digest of stories worth covering. --- Since launching it 3 months ago, I’ve only been posting 2-3 times a week on Reddit but I'm hitting 2.9 million impressions and just getting warmed up. If anybody is a beginner or even an n8n power user, this is a great automation to work on because you'll quickly learn scraping, AI Agents, using nodes like "aggregate" and "split out", plus creating a full stylized newsletter with HTML. If you want to download the automation and use it for your own use case the workflow is now available in the "VIRAL CONTENT CREATOR" section of the classroom!
How I built an AI agent that scrapes new LinkedIn jobs 24/7 & finds the hiring managers
A few weeks ago I had a new client for my AI agency ask me to build him an automation to scrape Linkedin Jobs. For people who are curious - this guy runs a construction staffing agency in Texas and found me from YouTube. So I built him a series of AI agent based automations in N8N that now runs 24/7: 1️⃣ LinkedIn Job Scraper - finds new job posts hourly. 2️⃣ Decision Maker Finder - identifies the lead recruiter, HR director or hiring manager. 3️⃣ Contact Enricher - Uses Apollo's API to pull verified emails + company data. 4️⃣ Deep Research Agent - uses GPT-5 to analyze each decision maker's personality to create personalized cold outreach scripts By the time he wakes up now his CRM is full of: - Fresh list of $100K+ jobs posted - Verified contacts & decision makers with email and phone number - Behavioral notes on each job decision maker If you want to customize this for yourself or download the automation - I dropped the N8N JSON file here in the "Sales Master" section
How I closed $5K in deals last week with a Google Maps AI Agent
I’ve always been obsessed with incorporating AI into my sales process... Last week, that obsession paid off and closed me $5K in deals for my AI automation agency! How did I find the clients? From scraping leads (for free) on Google Maps and then running those leads through an N8N automation I built that deep researches each one to see which offer they need most and who their target audience is. From there, I straight up called them (since their number is listed on Google Maps) or texted them! p.s. I dropped the full Google Maps scraping & lead researching automation along with a walkthrough here in the classroom section: https://www.skool.com/the-ai-entrepreneur-circle-5658/classroom/d67b83ef?md=63871da6fd974e7f9ca349381415a5b9 For context, the two deals I landed are for AI sales automations, so once I knew their target audience it made it much easier to pitch them. I could get really creative and specific on how I would build out the sales automation for them in the first iMessage I sent them. (iMessage cold texts do way better apparently) One client is a pool construction company in Florida. I was able to land him as a client easily because I showed how I could use browser agents combined with N8N to scrape multiple appraiser sites to scrape every new home purchased in his service area that would need a pool. You can see how that specificity would get his attention better in a first text than "Hey, do you need any help with building AI automations?" To get back to the actual Google Maps automation that found the leads for me, this is what it does on autopilot: - Scrapes 50 leads every hour from different locations on Google Maps - Puts all the Google Maps scraped info into Notion - Deep researches each company's website, social, & ads for indicators of what AI automation they might need and who their target audience is - Assigns each company a compatibility grade - Generates personalized offers and creative ways to use AI to help them
How I closed $5K in deals last week with a Google Maps AI Agent
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