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🔒 Q&A w/ Nate is happening in 25 hours
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🚀New Video: How To Win With AI (without starting an agency)
Everyone in the AI space is being told the same thing right now: start an AI automation agency. But there's a bigger, quieter shift happening that fits way more people. In this video I break down a recent IBM study of 2,000 CEOs, the new chief AI officer wave, the 61-point gap between who can use AI and who actually does, and the two paths into that seat. By the end, you'll know which one fits you and why playing to your strengths matters more than chasing the loudest trend. The IBM study: https://newsroom.ibm.com/2026-05-04-ibm-study-ceos-are-reshaping-c-suite-roles-for-the-ai-era
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ANNOUNCING: What's working in AI in 2026 (real projects, real revenue)
Quick news. We're doing our first virtual event, and the rule is simple: every person on stage has to show their actual work. The actual projects they're selling. The actual outreach they're using to land clients. The actual numbers behind it. No theory. No tutorials. Just what's working in 2026, taught by the people doing it. Waitlist's open. Get on it before tickets go live: -> What's working in AI in 2026 (real projects, real revenue) PS: Annual members of AIS+ get in for free. We will be announcing discounts for monthly members. If you’ve been thinking about joining AIS+, it’s a good time.
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🏆 Weekly Wins Recap | May 9 – May 15
From €17K agentic systems and $35K builds to AI leadership roles, first workflows, and launched products - this week inside AIS+ showed what happens when consistent reps finally start compounding. 🚀 Standout Wins of the Week inside AIS+ 👉 Malek Kilani closed his first €17K agentic AI build for a sales coaching company using enterprise presales experience as the unfair advantage. 👉 @Michael Elliott shipped a $35K certification platform with 100+ API endpoints, Stripe integrations, AWS infrastructure, and recurring monthly revenue attached. 👉 @Ailin Werner landed a Head of AI role after 8 months out of work by building publicly, sharing demos, and consistently showing her work online. 👉 Ismail Islam officially launched TradePulse — a full AI-powered trading intelligence platform combining dashboards, Telegram automation, and economic analysis workflows. 👉 @Cagri Sarigoz launched HeyNews on Product Hunt after 12 months of iteration and more than 600 AI-assisted newsletter issues. ⸻ 🎥 Super Win Spotlight | @Ailin Werner Ailin’s LinkedIn Ailin joined AIS+ after losing her job and deciding to fully commit to AI automation. At first, she was learning step-by-step through ChatGPT, debugging workflows manually, and spending countless hours figuring things out alone. Then she joined AIS+ planning to stay for just one month. That quickly changed.
🏆 Weekly Wins Recap | May 9 – May 15
Need help building a lead scraping pipeline for a client — pipeline advice + monthly costing
Hey everyone, Got a client in the B2B professional services space. They've given me a detailed ICP — specific industries, company sizes, geographies, and the exact personas/job titles they want to target (think Owners, Principals, Directors of Engineering, Solo consultants, Project Managers — that kind of decision-maker level). They want those leads automatically scraped and loaded into their CRM with these fields populated: Company name, website, company size, primary service domain, key contact name, contact title, email address, LinkedIn profile URL, phone number, qualification score, current status, and notes. They've specifically suggested using **LinkedIn Sales Navigator, Apollo.io, Lusha, and UpLead** as the tools to get this data. My questions: 1. Pipeline — how would you structure this? Given those four tools, what's the most sensible way to chain them together? Do you use one as primary and the others as fallback when data is missing, or do you run them in parallel? What does the actual flow look like from "search for contacts matching ICP" to "contact sitting in CRM with all fields filled"? 2. Monthly cost — how do I estimate this for the client? This is where I'm stuck. The client will be paying for the tools directly once I deploy. How do I give them a realistic monthly running cost? Each tool has its own credit system and the actual spend depends on how many contacts you're pulling and how many fields you need revealed. Has anyone worked out a rough cost-per-lead across these tools? Even a ballpark would help — like "for X leads a month expect to spend around $Y across these tools." Any input from people who've worked with these tools appreciated.
Cold calls
Going to start doing cold calls. Any advice for cold calling? Any dos and don't you figured out along the way? Any tactics you use? Do you use a script, or just go with the flow to make the call sound more natural?
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