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πŸ”’ Q&A w/ Nate is happening in 6 hours
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πŸš€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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πŸš€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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πŸ† 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. πŸš€ Standout Wins of the Week inside AIS+ πŸ‘‰ @Griffin Maklansky went from being laid off to landing an AI Workflow Builder role in just 1 month. πŸ‘‰ @Ahmed Bin Faisal landed another $2,000 USD client β€” an interior design firm β€” and broke down exactly what led to the close πŸ‘‰ @Narsis Amin built a working AI restaurant receptionist handling bookings, availability, and CRM logging end-to-end. πŸ‘‰ @Josh Holladay closed a $4.5K (+$1K) client with half up front today β€” and dropped his top 10 lessons from the close πŸ‘‰ @Dion Wang received his first official testimonial, validating real client impact and around 40 hours/month saved. πŸŽ₯ Super Win Spotlight | @Duy Nguyen Duy started as an engineer who was curious about AI β€” 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: β€’ Built a 24-agent AI business operating system β€’ Landed 2 local paying clients through word-of-mouth β€’ Created a system that improves itself weekly through feedback loops β€’ Started moving toward his goal of leaving his corporate job His biggest shift? From β€œCan I really do this?” β†’ to building a real business around AI automation.
πŸ† Community Wins Recap | Apr 25 – May 1
Weekly Win β€” 7 AI Agents, 7 Videos, Zero Manual Work
Hi Everyone. Been deep in Claude Code for the past few months and this week I finally shipped something I'm genuinely proud of. A fully automated YouTube Shorts pipeline. 7 agents that chain together end to end: πŸ” Research β†’ ✍️ Script β†’ 🎭 Avatar β†’ 🎨 B-Roll β†’ 🎬 Render β†’ πŸ“€ Upload β†’ πŸ“Š Analytics What makes it different β€” it's not faceless automation. Talking head videos, real person, personal brand, any niche. Posted 7 videos in 7 days. One hit 1.1K views on a brand new channel with zero subscribers and zero ad spend. The system is running on a locally hosted web app I built in Claude Code. Good to be here β€” excited to learn from everyone building in this space. πŸ‘‹
Most founders I speak to know enough about AI to sound smart at dinner. Not enough to defend their business in 18 months.
That's not a strategy. That's a vibe. Been on a lot of calls and DMs the last few weeks. Founders building in AI. Some funded, some bootstrapped, some solo. Different stacks, different verticals. Same conversation underneath all of them. Two things I can't unsee. One. "AI" still means ChatGPT with a system prompt. I ask what they actually run internally. The deck says agentic everything. The reality is a Google Doc, an SDR they're about to hire, and Apollo. That's it. The product pitch is 2026. The ops are 2023. If your own back office still runs on copy paste and good intentions, you are not selling AI. You are selling a logo. Two. The knowledge is bubble shaped. They know their model, their stack, their wrapper, their corner of Twitter. They have no clue what large corporates are quietly shipping in compliance, finance, sales ops, back office. The bubble feels safe because everyone in it is reading the same five Substacks and nodding at each other. I sat inside those corporates for 20 years. Three quick examples so this isn't abstract. - A bank reads every new FCA update with an internal agent, maps it to the relevant policy docs, drafts the gap analysis, pings the compliance lead with a one page summary. Used to be three people, two weeks. Now one person, half a day. - An accounts payable team rebuilt itself around an agent that reconciles invoices against POs, flags the mismatches, drafts the supplier email, queues it for human send. Fourteen people went to three plus the agent. - A tier one sales ops team has an agent reading every won and lost deal in Salesforce, pulling the call recordings, updating the playbook every Friday. Reps had stopped using the old playbook because it was always six months out of date. Now it's never more than a week behind. None of this is on LinkedIn. None of it is in a press release. It just shows up in cost lines two quarters later, and in the headcount slide nobody sends to the all hands. Here is the part most founders don't want to hear.
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