Reading through the posts here, it's clear a lot of us are chasing the same goal from different angles. So here's the one thing that's moved the needle most for me. The fastest way to create real impact is to start with the industry you already know. For me, that's automotive. Instead of building some huge, complex AI product, I started making simple tools that solved the day-to-day problems I was already watching pile up at work. That approach produced real results. I recently got a substantial bonus, and I'm being promoted to AI Systems Manager. Nate made a video on this recently and it clicked with exactly what I'd been living firsthand. So if you're looking to make a quick impact: start with the problems you already understand deeply. That's where the easiest wins are.

I used to think booking more meetings meant buying more tools. Every week there was a new "must-have" app promising more leads, better personalization, or higher reply rates. My stack kept growing... but my results didn't. Then I stopped chasing tools and started building a system. Now every tool has one clear job, and together they create an outbound engine that runs with minimal manual work. Here's the stack: 1. Claude Code Runs ICP qualification, lead scoring, AI reasoning, and deep personalization. 2. Apify Scrapes LinkedIn, Clutch, G2, and other platforms for highly targeted prospect data. 3. Apollo Builds lead lists, finds decision-makers, and provides verified contact data. 4. Smartlead Launches cold email campaigns and manages replies from a unified inbox. 5. Sales Navigator Finds decision-makers and companies showing buying or growth signals. 6. Aimfox Automates LinkedIn outreach safely from the cloud. 7. Fathom AI Records sales calls and generates AI summaries with action items. 8. Cal.com Lets prospects book meetings without the back-and-forth. 9. InboxKit Creates and manages Google and Microsoft mailboxes for outbound. 10. RB2B Identifies companies visiting your website so you can follow up while interest is fresh. 11. MillionVerifier Verifies email lists to improve deliverability. 12. Linkup Enriches company information directly from their websites. 13. Clay Adds extra enrichment and personalization data to every lead. 14. CloudTalk Handles outbound calling with a cloud-based phone system. 15. AdsPower Safely manages multiple LinkedIn profiles for outreach. The biggest lesson I learned? The advantage doesn't come from owning the most tools. It comes from connecting the right tools into one repeatable system. That's what turns outreach into a predictable client acquisition engine. Which tool in your outbound stack has delivered the biggest ROI? #ColdEmail #B2BOutreach #LeadGeneration #SalesAutomation #AIAutomation #RevOps

Hey everyone! I have a client who wants me to build him some automations using cluade code. I have no idea how to go about building them, delivering them, how to set them up (either locally or on the cloud). Please help!

From $40K AI projects and first clients to custom CRMs, AI operating systems, and production-ready automations, another week inside AIS+ proved that consistent building keeps creating opportunities. 🚀 Standout Wins of the Week inside AIS+ 👉 @Kobe Shemesh closed a $40K upfront AI project after refining his Claude Code workflow, proving that small improvements in execution can create massive business results. 👉 @Galyn Fergerson landed her first client just 6 days into AIS+, turning a discovery call into a $750 AI OS project before even finishing the automation course. 👉 @Girish Mohan built an AI Scrum Master that now prioritizes his calendar, tasks, and deals automatically—helping him execute every day with more focus. 👉 William Rendall was promoted to AI Workstream Strategy Lead less than three months after joining AIS+, crediting the community for accelerating his growth. 👉 Diane McCracken celebrated her 100th Claude Code session at 68 years old, showing that curiosity and consistency matter far more than experience. ⸻ 🎥 Super Win Spotlight | @Ahmad Abd Alkarim Ahmad joined AIS+ with years of leadership experience but wanted a better way to turn ideas into action. Today, his custom AI Operating System helps him manage projects, analyze business problems, and support his team without slowing anyone down. His biggest lesson? Don't just watch. Build. Practice. Share what you learn. That's where the real return comes from. 🎥 Watch Ahmad's story 👇 ✨ Every week, members are turning ideas into systems, skills into businesses, and momentum into real opportunities. Step inside AI Automation Society Plus and start building assets, systems, and skills that compound 🚀

Back for round two of the 7-day challenge 🙌 What I built: I hooked up the Firecrawl MCP server and put it to work scraping real data off the web. Started with a pull from Yelp to grab some leads, and that went smoothly, no complaints. Then I got ambitious and tried scraping product reviews, first off Google, then off Best Buy, and that's where things got spicy. One thing that clicked: Not every site scrapes the same. The Yelp pull was quick and clean, but the moment I pointed it at Google and Best Buy for reviews, it hit some real snags. I ended up having to restart the whole scraping session, and the second run did behave better, so sometimes the fix really is just to tear it down and start fresh. Good reminder that the tool working perfectly once doesn't mean the next target is going to be as friendly. One thing I'd improve next time: The big head-scratcher was speed. That second run took way longer than my earlier Yelp pull, and I honestly can't tell you why yet. So next time I want to actually dig into what's slowing it down, whether it's the site fighting back, the volume of reviews, or something in how I set up the request. Figuring out the "why" behind the slow run is my homework. Not as clean as Day 1, but I learned more from it wrestling with me than the easy win did. That's the point of the challenge, right? 😄 Anyone else run into scrapers that work great on one site and choke on the next? Curious how you all handle it. (The third page, for some reason, kept failing, so I just told Claude to run with the 2 pages we had.)