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๐Ÿ”’ Q&A w/ Nate is happening in 4 days
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๐ŸŽ‰ Happy New Year, Everyone
It is always a good time to reflect on everything you accomplished this past year and to set some goals for what you want to achieve in the new one. Thank you for helping us build such an awesome community over the past year. I cannot wait to see how much more it grows by the end of 2026. Cheers, Nate
๐ŸŽ‰ Happy New Year, Everyone
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๐Ÿš€New Video: How to Actually Deliver AI Projects (APIs, Hosting & Handover Explained)
In this video, I walk through how to actually deliver AI projects, covering APIs, hosting, and handover so clients can use what you build without things breaking or getting messy. This is for anyone building or selling AI services who wants clean delivery, happy clients, and fewer problems after launch. Hope you guys enjoy!
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๐Ÿ† Weekly Wins Recap | Dec 20 โ€“ Dec 26
From new clients to production-ready AI systems - this week inside AIS+ was all about confidence turning into action ๐Ÿš€ Here are this weekโ€™s highlights inside AIS+ ๐Ÿ‘‡ ๐Ÿ‘‰ @Christian Barraza signed his second client in just 3 days - momentum sparked by simply sharing his first win publicly. ๐Ÿ‘‰ Maciej Wesolowski closed a $3,300 project, building AI agents for an education platform - strong execution, clear value. ๐Ÿ‘‰ @Jose M Lopes landed another inbound prospect via LinkedIn by staying consistent and visible - proof that showing up compounds. ๐Ÿ‘‰ @Waliullah Murad shipped three AI agents in one week - a Telegram calendar assistant, feedback handler, and daily overview system. ๐Ÿ‘‰ @Isaias Perez built his first production-ready automation for a bus company - live alerts for missed shifts and speeding events. ๐ŸŽฅ Super Win Spotlight of the Week: @Usman Mohammed | Building for Life, Not Just for Tools Usman joined AIS+ to learn automation but stayed for the network, trust, and long-term relationships he built by staying active. Through consistent participation, heโ€™s grown confident, built real connections, and positioned himself to serve clients with clarity. ๐ŸŽฅ Watch his quick story ๐Ÿ‘‡ Usmanโ€™s journey is a reminder: tools change fast - community and relationships last for life. โœจ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where consistency, connection, and action turn learning into real results ๐Ÿš€
๐Ÿ† Weekly Wins Recap | Dec 20 โ€“ Dec 26
n8n Mortgage Validator That Eliminated 180 Hours Annual Manual Review ๐Ÿ”ฅ
Mortgage processing. 240 applications annually. Manual qualification consuming 180 hours. Built n8n workflow. Zero manual calculations. Systematic validation. THE MORTGAGE PROBLEM: Every application manual. Loan officer reading documents. Calculating housing payments. Computing DTI ratios. Checking credit. Verifying employment. 45 minutes per application. 240 annually = 180 hours. Audit revealed errors - 34 incorrect DTI calculations. 67 missing credit verifications. 89 inconsistent qualification decisions. 14.2% error rate. Manual process breaking down. Same borrower calculated differently by same loan officer week to week. Different officers applying different standards. No systematic criteria application. THE n8n AUTOMATION: 6-node workflow with 5-path credit routing: Node 1 - Gmail Trigger: Monitors applications Node 2 - Get Email: Downloads with attachment Node 3 - Prepare Binary: Formats document Node 4 - Extract Data: Pulls borrower/income/assets/liabilities/property/loan Node 5 - Calculate & Validate: Computes DTI/LTV/reserves, validates criteria Node 6 - Log Database: Updates tracking Node 7 - Credit Router: Routes by tier (Excellent/Good/Fair/Poor/None) EXTRACTION: Borrower - name, email, employment, income Assets - checking, savings, retirement, investments Liabilities - debts with monthly payments Property - address, type, purchase price Loan - amount, down payment, term, rate CALCULATIONS: ```javascript // Housing payment const payment = (loan * rate) / (1 - Math.pow(1 + rate, -months)); const tax = (price * 0.012) / 12; const insurance = (price * 0.006) / 12; const housing = payment + tax + insurance; // DTI ratios const frontDTI = (housing / income) * 100; const backDTI = ((housing + debt) / income) * 100; // Other metrics const ltv = (loan / value) * 100; const reserves = assets / housing; ``` VALIDATION CRITERIA: Back-end DTI > 43% = Needs Review Front-end DTI > 28% = Conditional Credit < 620 = Needs Review Employment < 2 years = Conditional
n8n Mortgage Validator That Eliminated 180 Hours Annual Manual Review ๐Ÿ”ฅ
2026 Goals
Curious.. What are your goals for this year with AI? Do you plan on building something ? Improving something ?
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