After building AI receptionist systems for service businesses, I noticed something. The technology isn't the hard part. The mindset is. Most business owners hear "AI receptionist" and their first thought is: "Will it sound robotic?" "What if it says the wrong thing?" "My customers want to talk to a real person." And that resistance kills the conversation before it starts. The shift that works: Stop selling the AI. Start selling the outcome. The right conversation isn't: "I want to set up an AI that answers your calls." It's: "Right now, what happens when a customer calls you at 9PM on a Friday?" That question does the work. Because the business owner already knows the answer, voicemail, missed opportunity, customer calls the competitor. Once they say it out loud, the solution sells itself. GoHighLevel makes this even easier because everything lives in one place, the AI, the calendar, the CRM, the follow-up workflows. There's nothing to stitch together. The business owner doesn't need to understand the technology. They just need to see what happens when nobody answers, and understand that it doesn't have to be that way. That's the mindset shift. Sell the missed call. Not the AI. What objections are you running into when pitching AI receptionist systems to clients?

Hi, I wanted to share the first automation I built with Claude Code and VS Code. After my parents’ heart surgery, the number of doctor appointments, medications, and admin tasks became overwhelming. I built this to help them stay organised. Have a look. The explanation is in the image below. Runs in real time/ cat personality language through Telegram. The bot works, but it’s been a real learning experience. It kept running into memory issues. I’d fix one thing, then another would appear. Recently, instead of patching problems one by one, I had Claude review the entire codebase and optimise it properly. It’s now a working project running through Claude Code, VS Code, and Railway. I’ve asked a few friends whether they’d find something like this useful, and the answer has always been yes. What I’ve realised, though, is that building and tailoring these kinds of automations takes a lot of time. My takeaway: the people who benefit most from custom AI systems will likely be businesses or clients with budgets that match the time it takes to build them. That said, I’m grateful to have learned the skills to build tools like this for myself and my family. #AISOS

A few weeks back I went looking for a way to pump out clean, narrated videos — explainers, case studies, the kind of thing you post to actually get noticed. Every option said the same thing: $30–90 a month. Synthesia, HeyGen, Pictory… great tools, but as a solo freelancer I wasn't about to bleed a subscription before I'd made a single video. So I did the stubborn thing. I built my own one command tool. I type a topic, walk away, and come back to a finished MP4 + thumbnail + YouTube title and description. No timeline, no editing, no manual steps. Here's the part that still makes me grin — the entire stack is free: 🔎 Research → DuckDuckGo (no API key) ✍️ Script → AI writes the narration (cents, not dollars) 🎙️ Voiceover → edge-tts, Microsoft's neural voices, completely free 🎬 Footage → Pexels stock library 🧑‍💼 Avatar intro → rendered once, then cached and reused at $0 🖥️ Render → Remotion + ffmpeg, both open source The magic isn't any single tool — it's that every paid service is optional and swappable. If I ever want a premium cloned voice, I plug it in. Until then, the free version ships real, finished videos. I've already used it for a client case-study video. Cost to produce: $0. The lesson I keep relearning: the subscription is usually optional if you're willing to wire the pieces together yourself. 🛠️ Anyone else here building their own tools instead of renting them? Drop what you've built 👇 #BuildInPublic #Automation #AIVideo #NoCode #FreeTools

Hey everyone! Trying to learn more on the business side of running an AI Consulting agency or just independently consulting. I’ve been experimenting and building with AI for a while now (although new to this community!) and have 12+ years of systems architecture and engineering experience. What I don’t have is the sales experience or deep understanding of how to form relationships, get clients, and grow the business side of what I’m trying to build! Would appreciate any advice on how people in this community who have experience with landing gigs, clients, or running successful businesses go about getting leads, developing client relationships, and/or any workflows you’ve developed to help automate/increase your productivity in doing so!

Stanford's STORM research method runs a topic through five different expert perspectives instead of a single prompt, so the blind spots one angle misses get caught by another. I turned it into a free Claude skill that spins up a practitioner, academic, skeptic, economist, and historian, maps where they disagree, then verifies every source before handing you a clean HTML briefing. I also put it head to head against Claude Code's built-in Deep Research, and walk through exactly how to install it and tweak the lenses for your own work.