Real estate agents lose leads because they reply too slow — 71% of buyers go with whoever responds first. Built a small AI system that fixes this: instant lead response, auto-qualifies them, books a call on the agent's calendar automatically. Even handles missed calls with an instant text-back. Just closed my first client with it. Happy to share more if anyone's building something similar, or if you know an agent who'd want this — would love an intro 🙏

I just stepped into a completely new business model, and only 15 days later, I closed my first client a videography agency owner. The total project value is €2,500, and I received a €1,000 upfront payment to kick things off. It’s my first high-ticket client in this business model, so it feels like a huge milestone. To celebrate, my friend and I booked a nice Airbnb in our city, took a break from work for a day, and just enjoyed the moment. Sometimes it's important to appreciate the small wins before chasing the next big goal. I'm honestly grateful that at 17 years old, I get the opportunity to build something of my own, learn every day, and work with amazing clients. This is just the beginning. Now it's time to serve this client well, keep improving, and close many more. Grateful for the journey.

Did the first build - but instead of a newsletter, it quickly pivoted to something that I'll use tomorrow morning. I basically built a Daily Briefing agent. Every morning it: - reads the last 24 hours of my outlook inbox - pulls notes and meeting transcripts I touched in Notion the day before - checks today's calendar - → and turns all of it into one clean, skimmable page: what needs my action, the key threads, and my day ahead. Still figuring out: where scheduled automations live. Turns out there's more than one place they can run from (i.e. claude code routines vs desktop cowork scheduled tasks?), and I'm still mapping which is which. Any ideas? Good reminder that "it works" and "I understand where it lives" are two different milestones. 😅

From AI operating systems and first client deliveries to open-source tools, second brains, and personal AI assistants, this week inside AIS+ showed that the best products often start by solving your own problems first. 🚀 Standout Wins of the Week inside AIS+ 👉 @Miguel Alfonso Murillo closed 3 clients using the AIOS he built for his own business, sharing how his journey evolved from experimenting with ChatGPT to running his operations with AI. 👉 @James Joens delivered his first client project just 11 days into AIS+, saving his client $1,400 on a single deal and following it up with his first in-person cold outreach meeting. 👉 @Jenni Saarenpää built her own AI-powered Wealth Analyzer after realizing the tool she wanted didn't exist, creating a personal FIRE planning app with powerful financial modeling. 👉@Konstantinos Karamatzianis built and open-sourced Session Guardian, solving Claude Code session limits for himself before sharing it with the entire community. 👉 @Girish Mohan created an AI Treasurer to manage expenses for a 100-person family festival, turning a real-life headache into a practical automation. ⸻ 🎥 Super Win Spotlight | @Jacob West Jacob joined AIS+ looking to build a business, not just learn AI. Since then, he has: - Built the confidence to leave his job and go all in on entrepreneurship - Closed larger AI projects by applying real business fundamentals - Shifted from learning tools to building a scalable business around them His biggest takeaway? Skills matter. But confidence comes from building, taking action, and surrounding yourself with people already doing what you want to do. 🎥 Watch Jacob's story 👇 ✨ Every week, members turn personal projects into client work, ideas into systems, and momentum into real businesses.

Hey Automation community! 👋 This took me 2 hours to put together. If you're looking for a proven way to get clients AT SCALE and actually make money for your AI automation agency, then this is for you. I run an AI agency that basically made no money because I had a hard time finding new clients. I tried cold email starting in November and it quickly become one of our most profitable acquisition channels. I knew NOTHING about cold outreach when I started. I learned A LOT along the way (including plenty of expensive mistakes), so here’s everything I wish I had known from day one. If you don't know what cold email marketing is, it's when you send out thousands of emails to potential leads you haven't spoken to before. The goal is for them to book a consult with you where you'll then close on a deal. If you do it badly, it will look like spam and nobody will respond. Do it where you target relevant people ready to buy and offer a lot of VALUE, and you will generate sales. Part 1: Technical Setup Domain Strategy - Buy dedicated domains just for email campaigns — never ever use your main company domain. - Set up DNS records immediately: SPF, DKIM, and DMARC. - Use Google Workspace or Microsoft 365 for better deliverability (roughly $4–6 per account per month). Email Account Setup - Create 1–4 email accounts per domain. - Start slow: 10 emails per account per day, then increase volume by ~10% each day. - Max once warmed up: ~25 emails per account per day. - Example: 4 domains × 3 accounts × 25 emails = 300 emails/day to begin with. IMPORTANT: Always warm up accounts for at least 14 days before ramping up. Extra tips that help a lot: - Add real profile photos and complete the accounts. - Older domains tend to perform better when you can get them. - Set up a custom tracking domain for accurate open/click data. Choosing Your Sending Platform You can do it manually with the technical setup above but it's way easier to buy an email account that's already configured and ready to go. I ran high-volume campaigns using Instantly.ai because it has good deliverability, analytics, and tons of guides on it since it's used by many agencies to get clients. It’s not perfect but probably one of the best for cold email right now. But honestly, your lead list and outreach message matter more.