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2d •
🚀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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6d •
Happy Holidays Everyone and Merry Christmas🎄
This is a great time to reflect on the past year, set a few intentions for the year ahead, and most importantly rest, recharge, and spend time with family. I know I will be. The AI space will still be here when we get back! Cheers, Nate
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3d •
🏆 Weekly Wins Recap | Dec 20 – Dec 26
From new clients to production-ready AI systems - this week inside AIS+ was all about confidence turning into action 🚀 Here are this week’s highlights inside AIS+ 👇 👉 @Christian Barraza signed his second client in just 3 days - momentum sparked by simply sharing his first win publicly. 👉 Maciej Wesolowski closed a $3,300 project, building AI agents for an education platform - strong execution, clear value. 👉 @Jose M Lopes landed another inbound prospect via LinkedIn by staying consistent and visible - proof that showing up compounds. 👉 @Waliullah Murad shipped three AI agents in one week - a Telegram calendar assistant, feedback handler, and daily overview system. 👉 @Isaias Perez built his first production-ready automation for a bus company - live alerts for missed shifts and speeding events. 🎥 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, he’s grown confident, built real connections, and positioned himself to serve clients with clarity. 🎥 Watch his quick story 👇 Usman’s journey is a reminder: tools change fast - community and relationships last for life. ✨ 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 🚀
9d •
Hiring
I need people to do COLD outreach using a simple script. - Easy work, clear instructions - You just follow the script and track replies - Basic English and reliability required If you’re interested, comment “DM” or message me “SETTER” and I’ll send you the doc with all the details.
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3h •
n8n Transcript Processor That Eliminated 900 Hours Annual Data Entry 🔥
University admissions. 1,200 transcripts annually. Manual entry consuming 900 hours. Built n8n workflow. Zero manual transcription. Perfect accuracy. THE ADMISSIONS PROBLEM: Every incoming transcript requiring manual processing. Coordinator downloads PDF from email attachment. Opens admissions system. Types student details into database. Enters institution information manually. Transcribes all courses individually - course codes, course names, credit hours, letter grades, semester completed. 15-30 courses per transcript average. Each course typed manually. Manual GPA verification against transcript calculation. Academic honors notation if present. Verification status determination based on transcript type. 45 minutes per transcript. 1,200 transcripts annually. 900 hours consumed. Quality audit revealed 14.8% error rate. Course entry typos. GPA calculation mistakes. Overlooked academic honors. Inconsistent verification flagging across coordinators. THE n8n AUTOMATION: 7-node workflow with 3-branch verification routing: Node 1 - Gmail Trigger: Monitors transcript emails Node 2 - Get Email: Downloads attachment Node 3 - Prepare Binary: Formats document Node 4 - Extract Data: Pulls student info, courses, grades, GPA, honors Node 5 - Analyze Transcript: Calculates metrics, categorizes performance Node 6 - Log Database: Updates tracking Node 7-9 - Verification Routing: Routes to verification check OR unverified path EXTRACTION: Student - name, ID, DOB, email Institution - name, address, registrar Degree - program, major, minor, dates Courses - code, name, credits, grade, semester, year (all courses) Academic - credits attempted/earned, GPA, honors Metadata - type (official/unofficial), date, signature ANALYSIS: Total courses count Completion rate percentage GPA categorization (Exceptional/Excellent/Good/Fair) Academic standing (Dean's List/Good Standing/Probation) Grade distribution summary Verification evaluation (official + student ID) VERIFICATION LOGIC:
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skool.com/ai-automation-society
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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