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24h •
🚀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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4d •
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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2d •
🏆 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 🚀
just now •
Title: Anyone else tested the new ChatGPT + Lovable integration for rapid prototyping?
I just did a test run for a Real Estate MVP and I’m pretty impressed with the "Zero-to-One" speed. Usually, these AI builders just give you a static UI, but this actually felt like a proper "Agent" workflow. A few things I noticed during the build: - Autonomy: I gave it a one-sentence prompt and it decided on its own that the app needed an /admin dashboard for lead management. It built the whole thing with CSV export logic without me asking. - Functional Logic: The property filters and map integrations actually worked out of the box, which usually takes a few rounds of prompting in other tools. - The "Cook" Time: It takes about 10 minutes to orchestrate the files. If you try this, don't close the tab! It looks like a hang, but it’s just building the React/Supabase stack in the background. My takeaway: For those of us building for clients or shipping MVPs, this has basically compressed the first 48 hours of dev work into a 10-minute wait. It's the fastest way I've found to get a "v1" into a client's hands.
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6d •
I only have 14 days!!!
No tricks, no sweet talk, no selling. I'm Abdulrahman, and I only have 14 days to further develop myself in this field, earn money from it, and get my first client. I'll try to share my experience daily, as concisely as possible. The goal is to inspire those who are stuck in the same place and to get some advice and encouragement from you to continue on this path. I spent the first 3 days drawing up a clear roadmap and researching the field I would start with. I decided to begin with training and online courses. I started with something simple: I built an artificial agent to answer questions and inquiries. I'm sure trainers and course providers receive hundreds of repeated messages daily, and this will be very helpful for them. Workflow explanation: It answers any question within its stored data. However, if it encounters a question it doesn't know the answer to or that requires human intervention, it sends it directly to the team. Thank you for listening. Also, if anyone needs any help or anything else, don't hesitate to contact me.
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