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🔒 Q&A w/ Nate is happening in 59 minutes
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🚀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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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
Happy Holidays Everyone and Merry Christmas🎄
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🏆 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 🚀
🏆 Weekly Wins Recap | Dec 20 – Dec 26
🙋‍♂️What Nobody Talks About Before Scaling AI Automations
Curious how builders here are actually validating AI automations before scaling I’m based in Texas USA and coming from the AEC / construction side. I’ve been deep in automation conversations lately, and one thing I keep circling back to is this: Everyone talks about what they’re building. Fewer people talk about how they pressure-test it before it touches real workflows. For those of you who’ve shipped or are actively deploying AI automations: - What signals told you, “yes, this is worth scaling”? - Where did early POCs break in the real world? - What did users do that you didn’t expect (good or bad)? I’m not here to pitch anything — genuinely interested in comparing notes with people who are building practical, non-theoretical systems that have to survive messy human workflows. If you’re open to swapping lessons learned or debating approaches, I’m all ears. Happy to learn, share, or just jam on what’s actually working.
Case Study: Automating Financial Workflows with Botverse AI
Financial data entry is the silent killer of productivity. I recently worked with a client who was spending hours every week manually downloading invoices, reading the details, and typing them into a spreadsheet. It was tedious, prone to human error, and a massive waste of their valuable time. At Botverse AI, we built a solution to completely eliminate this manual bottleneck. The Challenge: The client needed a way to process a high volume of incoming receipts and invoices without hiring more administrative staff. The Solution: I developed a custom automated workflow that acts as an intelligent financial assistant: 1. Auto-Detection: The system monitors incoming emails for attachments (PDFs/Images). 2. AI Extraction: Using advanced AI vision models, it "reads" the document to extract the vendor, date, total amount, and line items. 3. Structured Logging: The data is automatically formatted and pushed directly into their Google Sheets and accounting database. The Result: ✅ 100% Automation: From email to Excel, no human hands touch the data. ✅ Accuracy: Eliminated manual data entry typos. ✅ Time Saved: The client reclaimed 5+ hours per week to focus on high-level strategy. This is what we do at Botverse AI: We turn manual chaos into streamlined, intelligent workflows. Are you still typing invoice numbers into Excel manually? Let's automate that.
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