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🔒 Q&A w/ Nate is happening in 8 days
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🚀New Video: I Built an AI System That Automates My Proposals (n8n + Gamma)
In this video, I walk through how I built an AI-powered system using n8n and Gamma’s API to automatically turn meeting recordings into professional business proposals and slide decks. The workflow takes a recorded call, transcribes it, and passes it to an AI agent that analyzes the conversation and generates a full proposal based on the client’s needs, goals, and context. That proposal is then sent to Gamma, which creates a clean, professional slide deck filled with the right business details and structure. The finished deck is automatically delivered back for review so you can make quick edits and send it straight to the client. This is a full behind-the-scenes build showing how to automate one of the most time-consuming parts of client work. GOOGLE SHEET TEMPLATE
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AI Mastermind Feb 2-7 | Apply NOW
I wanted to share something pretty special with you guys. From February 2nd to February 7th, there’s an AI Mastermind happening in Cape Town that’s being sponsored by n8n, and I’ll be there along with some of the biggest names in the AI space like Liam Ottley, Dave Ebbelar, Jack Roberts, Mark Kashef, and many more. This is not a typical conference. It’s a small, curated mastermind focused on real conversations, deep dives into AI, live talks and presentations, plus a lot of networking and social events with people who are actually building in this space. There are only about 50 VIP spots left, and it’s designed to be a high-impact, life-changing type of week. If you’re serious about AI, business, and meeting the right people, I definitely recommend checking it out and applying here: https://www.africai.vip/
AI Mastermind Feb 2-7 | Apply NOW
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🏆 Weekly Wins Recap | Jan 9 – Jan 16
From multi-thousand-dollar deals to first real client automations, this week inside AIS+ was all about execution turning into confidence - and confidence turning into momentum. 🚀 Here are this week’s highlights inside AIS+ 👇 👉 @Nick Grijalva completed Phase 1 of an $8K client project, replacing hours of manual work with a clean file-sync automation. 👉 @David Kim closed a $11,795 setup + $7,732/month retainer, sharing powerful lessons on value-driven client calls. 👉 @Gerard Vazquez landed his first €1,500 end-to-end project after consistent outreach and free consults. 👉 @Kishan Shukla secured a contract role as an n8n AI Automation Engineer, turning skills into steady income. 👉 @Krishna A built an AI micro-SaaS for UGC ads, cutting ad creation time and cost dramatically. 🎥 Super Win Spotlight: @Jon Roth | First Client → Real Savings → Real Confidence Jon built his first professional automation for a niche 3D-printed auto-parts business. The workflow now saves the company ~$18,700 per year by replacing manual Shopify order processing and earned Jon $2,000 from his very first client. More importantly, the build gave him the confidence to pursue automation seriously, with multiple follow-up contracts already in motion. 🎥 Watch Jon share his journey 👇 Jon’s story is a reminder that one real build can change everything - confidence, direction, and belief in what’s possible. ✨ Want to start stacking wins like this? Join AI Automation Society Plus and turn learning into real builds, real clients, and real momentum 🚀
🏆 Weekly Wins Recap | Jan 9 – Jan 16
When Automation Feels Harder Than It Should
A lot of the complexity people experience in automation is self-inflicted. It often starts by choosing tools before defining outcomes — asking “what can this tool do?” instead of “what result am I trying to remove manual work from?” When tools come first, workflows grow fast and purpose gets blurry. Most effective automation only needs three things: a clear trigger, a simple decision, and a reliable outcome. When those are solid, everything else becomes optional. The better approach is to strip workflows back to their purpose. Build the smallest version that works, observe how it behaves in real use, then add complexity only where friction actually appears. Automation becomes simpler — and more durable — when it’s treated as an evolving system, not a finished product.
When Automation Feels Harder Than It Should
Patient intake validation prevents incomplete records
medical practice processing 180 forms monthly. built automation with completeness checking. THE VALIDATION: extraction pulls patient demographics, insurance, emergency contact, medications, allergies. validation checks required fields present before database entry. prevents incomplete patient records when required information missing. validation catches: missing patient name/DOB, missing insurance provider, missing emergency contact, incomplete medications/allergies documentation. CLIENT IMPACT: zero incomplete records in 4 months. automatic follow-up requests specific missing fields. patients arrive with complete information on file. simple validation. major patient care improvement. json attached what validation prevents incomplete healthcare records?
Patient intake validation prevents incomplete records
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AI Automation Society
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