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🔒 Q&A w/ Nate is happening in 5 hours
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🚀New Video: Building Realistic Voice Agents Has Never Been Easier
Voice agents used to mean clicking through ElevenLabs dashboards and wiring up API endpoints by hand. In this one I built a working voice agent for a website that captures leads and books discovery calls through cal.com, all by describing it in plain English to Claude Code. You'll see the full build, the bugs I hit along the way, and how I debugged them without ever touching the docs.
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🚀New Video: I Tried 100+ Claude Code Skills. These 6 Are The Best.
After 400 hours in Claude Code, I noticed that businesses keep paying for the same six types of skills. In this video, I break down each one, what it does, and why these simple, boring skills are the ones that actually sell. Whether you're brand new to AI automations or already building for clients, these are the skills worth learning first.
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🏆 Community Wins Recap | Apr 25 – May 1
From AI roles and first clients to live receptionist systems and enterprise training deals - this week inside AIS+ showed what happens when builders stop watching and start executing. 🚀 Standout Wins of the Week inside AIS+ 👉 @Griffin Maklansky went from being laid off to landing an AI Workflow Builder role in just 1 month. 👉 @Ahmed Bin Faisal landed another $2,000 USD client — an interior design firm — and broke down exactly what led to the close 👉 @Narsis Amin built a working AI restaurant receptionist handling bookings, availability, and CRM logging end-to-end. 👉 @Josh Holladay closed a $4.5K (+$1K) client with half up front today — and dropped his top 10 lessons from the close 👉 @Dion Wang received his first official testimonial, validating real client impact and around 40 hours/month saved. 🎥 Super Win Spotlight | @Duy Nguyen Duy started as an engineer who was curious about AI — but unsure how to turn that curiosity into something real. After joining AIS+, he went from learning passively to building his own AI-operated business, Sharper Automations. Since then, he has: • Built a 24-agent AI business operating system • Landed 2 local paying clients through word-of-mouth • Created a system that improves itself weekly through feedback loops • Started moving toward his goal of leaving his corporate job His biggest shift? From “Can I really do this?” → to building a real business around AI automation.
🏆 Community Wins Recap | Apr 25 – May 1
AI for moving company made 180 calls in 5 minutes and closed 5 deals in 15 minutes. No, I'm not exaggerating.
Let me tell you exactly what happened. This moving company had a list of leads people who'd enquired but never booked. The owner had one closer on his team. The problem? His closer was spending most of his day dialing through the list, waiting for pickups, introducing himself, re-qualifying people who turned out to be wrong fit, and then finally if they were lucky getting to the actual sales conversation. Sound familiar? We changed the entire front end of that process. The AI now dials the full list simultaneously. In 5 minutes, it had reached 180 contacts. It introduced itself, qualified each lead (move size, dates, location, urgency), and sorted them into two buckets: interested and qualified, or not a fit. The qualified leads? Transferred live to the closer with a full context email hitting his inbox the moment the transfer started. He already knew the customer's name, what they needed, when they were moving, and what objections had already come up in the call. His job was just one thing: close. 5 deals. 15 minutes. The closer told me it felt like "showing up to a meeting where someone else did all the prep." That's what AI voice agents actually do when they're built right. There is a video of one of the customer convo with the AI agent
I Automated My Daily Content Research. It Runs Every Morning at 11am.
I used to spend an hour every morning checking AI news and figuring out what to post about. Built a model that handles the whole thing automatically. What it does: - Monitors 4 sources daily: Anthropic changelog, Claude GitHub, Gemini release notes, AI influencer posts - An LLM filters the noise — only major updates make the cut - Generates a LinkedIn post, Instagram caption, and branded image for each update - Creates a ClickUp review card — I approve or discard in one click Saves 1 to 2 hours every single morning. Full live demo in the video. Stack: trigger.dev, FAL.ai, ClickUp
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