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1d •
🚀New Video: 3 Hidden Data Table Hacks for Smarter AI Agents
In this video, I show you three powerful hacks for using n8n’s new data tables to make your AI agents smarter and more customizable. With data tables, you can build a front-end to control your models and prompts, track and log your agents’ actions and executions, and even run evaluations to improve performance over time. These methods give you more visibility, flexibility, and control, helping you build AI systems that are smarter, more reliable, and easier to optimize. Make sure to tune in, there may be some bonus hacks included in the video ;) #n8nDataTables
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3d •
🚀New Video: Stop Selling AI Agents, Sell AI Solutions Instead
In this video I'm going to be telling you why you need to stop selling AI Agents and sell AI Solutions instead. AI agents are not what they were 6 months ago, because now everyone has hopped on the trend of selling AI agents. So to make a lot of money selling AI in 2025, you need to be different, and to stand out by selling AI solutions. It's a game changer! So grab your pen and paper, and get ready to take some notes. Hope you enjoy!
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4d •
🚨 Want my help scaling your agency (even if it's small)?
We're looking for a few small AI automation agencies that are getting clients but struggling to scale. For the first time ever, we're teaching the exact playbook that took us from chaos to $100k/month MRR in 8 months. Applications close October 1st at 11:59 PM Eastern. 🎁 As a bonus, we're also giving our members 6 FREE months of AIS+ access ($500+ free) The catch? Founding cohort pricing ends forever after October 1st. Small group only. Serious agency owners who want to scale fast. Click here to get all the details Cheers, Nate
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Oct '24 •
Welcome! Introduce yourself + share a career goal you have 🎉
Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊
1m •
Build 15 #
🔥 Unconscious bias is one of the biggest challenges in recruiting. So I built a workflow to fix that: 1️⃣ Resume comes in through webhook 2️⃣ AI anonymizes it → strips out names, gender, and identifiers 3️⃣ AI scores the candidate based only on skills & experience 4️⃣ Result is saved to Google Sheets 5️⃣ Recruiter gets an email report with the score + explanation ⚡ This ensures evaluations are based on merit, not unconscious bias. 👉 Engagement questions for Skool: Would you trust an AI anonymizer to handle resumes in your pipeline? Do you think this could improve diversity hiring outcomes?
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