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26d •
Want to get featured in front of 500,000+ people?
If you've sold an AI automation to a client, any tool, any industry, I want to hear about it. I'm collecting case studies to break down on the channel. This is your chance to build authority, get your brand out there, and showcase what you've built. 🎁 Bonus: I'll be analyzing all submissions and sharing the trends with you: what's selling, which industries are buying, and where the opportunities are. So even if you don't get featured, you'll benefit from the data. 👉 Fill it out HERE Takes 5 minutes. You can submit multiple projects.
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1d •
🚀New Video: How a College Student Made $500k with Cold Email (Exact Framework)
In this episode, I brought on Suvam. He generated over $500,000 in sales opportunities in six months using cold email as a beginner. The core lesson is to sell the outcome first and build after commitment. Suvam overcame the trust barrier with a zero-risk offer: doing the work for free in exchange for a case study reference. This worked so well that one free client became his first paying client and the social proof nearly doubled his reply rates. His playbook uses AI to find pre-filtered niche databases, not massive lead directories, and employs a simple 4-step automation for personalization at scale.
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2d •
🏆 Weekly Wins Recap | Feb 7 – Feb 13
Big contracts, First clients, Real cost savings.This week inside AIS+ was about execution over excuses. Here are a few standout wins inside AIS+ 👇 👉 @Glenn Marcus closed a $60K Agentic Engineering contract in 72 hours after launching his new agency site. 👉 Ai Stromae built an automation saving a client €30K per year - €1K paid upfront with referrals coming. 👉 @Mike Thomson landed his first real paying client through persistence and smart follow-ups. 👉 @Jeremy Aune closed his first AI voice assistant client - with expansion already in discussion. 👉 @Meir Heimowitz cut $1,400/month in business costs using Claude Code automations. 🎥 Super Win Spotlight: @Glenn Marcus | $60K in 3 Days Glenn launched his new agency site on Thursday. A friend forwarded it to a CEO. By Tuesday, a $60,000 contract was signed. But this didn’t happen overnight. Through AIS+, Glenn sharpened his thinking around real use cases, agentic systems, and applying AI to actual business problems - not just tools. That clarity gave him the confidence to pivot his consulting company into an Agentic Engineering firm. The result? Right message. Right positioning. Right timing. $60K in 72 hours. His story is proof that when preparation meets opportunity, things move fast. If you’re AI-curious or already building, this is what momentum looks like. 🎥 Watch Glenn share his story 👇 ✨ Want to see wins like this every single week? Join AI Automation Society Plus and turn learning into real outreach, real clients, and real momentum 🚀
34m •
call forwarding
i have a vapi voice agent built for takeaaway restauratns to help with missed calls, my problem is how can i set it up so that when the business line is busy and no one picks the phone up in person it transferes to my vapi agent, i have a twilio number however twilio numbers in the uk dont work with forwarding calls as its not a registered number, i need some sort of middle man number for restaurants to forward the call to the middle man then the middle man forwards the call to my twilio number
2m •
RFP Analyzer Extracted 47 Requirements in 60 Seconds (6 Nodes) 🔥
Sales team receives RFP. 34 pages. Deadline in 2 weeks. Someone needs to read all of it. Built RFP analyzer. 47 requirements extracted. Priorities identified. Deadline urgency calculated. Team briefed in Slack. THE RFP RESPONSE PROBLEM: RFP arrives. Team scrambles. What are the requirements? What's the deadline? What do they actually want? Everyone reads the same document differently. Requirements get missed. Deadline approaches. THE DISCOVERY: Document extraction pulls structured RFP data. Code calculates urgency based on deadline. Slack alert with everything team needs. THE WORKFLOW: Gmail trigger catches RFP email → Get message with attachment → Document extraction pulls organization, project scope, requirements array, evaluation criteria, budget range, deadline → Code analyzes urgency and formats summary → Sheets logs to RFP tracker → Slack alerts sales team. 6 nodes. RFP intelligence automated. THE REQUIREMENTS EXTRACTION: JSON Schema captures requirements as array with: requirement text, priority (Required/Preferred/Optional), category. Code counts: How many required vs preferred vs optional? What's the effort estimate? THE URGENCY CALCULATION: Days remaining to deadline determines urgency: - ≤0 days → OVERDUE - ≤7 days → Urgent - ≤14 days → High - >14 days → Normal Color-coded in Slack alert. Team knows immediately if they're behind. THE EVALUATION CRITERIA: Extraction pulls how they'll score proposals. Criteria with weights. Now you know what to emphasize. Budget range extracted when stated. Min and max. Know if it's worth pursuing. THE TRANSFORMATION: Before: 2 hours reading RFP. Requirements scattered across document. Deadline tracked manually. After: 60 seconds to full analysis. Requirements counted. Urgency clear. THE NUMBERS: 47 requirements extracted 34-page RFP analyzed 5 evaluation criteria identified Urgency: Calculated automatically Deadline tracking: Automated Template in n8n and All workflows in Github
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A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
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