You can create AI illustrations, posters and video avatars on your own computer - without monthly AI subscriptions. That’s how I generated this video, with a mere 8Gb of VRAM. If you run an agency, this isn’t just about saving a few euros on software. It’s about how much of every project fee you actually keep. Local AI isn’t flawless today. Some results need refining. Others go straight in the bin. The value is in that you can try again. Change direction. Explore another idea. Without watching a paid credit balance disappear. Today, the value isn’t in flawless execution. It’s in the freedom to keep iterating. Tomorrow? Both. Learn the technology today. Master it tomorrow. Want to learn how to put local AI to practical use? Comment below and follow me for more.

Over the past two years we've sold tens of thousands of dollars' worth of AI workshops at Morningside. They're the easiest way we've found to get in the door with a larger company. You're not pitching. You're in the room, teaching their exec team, building trust before anyone talks about a project. 75%+ of the organisations we run these with end up bringing us in on AI adoption work afterwards. Last Friday I ran a session inside the Accelerator breaking the whole thing down: why companies buy workshops, how we deliver them, and what's on every one of our 60+ slides. The agencies in there loved it, so I filmed a version for you too. I walk through the deck slide by slide. At the end you can grab the full Executive Workshop template, yours to keep. Same deck we use to run workshops companies pay thousands for. If you're working with larger organisations, or you want to see how we get executive teams to actually move on AI, this one's for you. → Watch the video and get the template Talk soon. Josh.

For local service businesses (cleaning, HVAC, plumbing), the biggest bottleneck usually isn’t lead generation—it’s lead response time. Most inbound prospects won’t leave a voicemail after 5 PM; they simply move to the next provider on Google. Instead of relying on manual follow-ups or a traditional 9-to-5 front desk ($2,500–$3,500/mo), here is the architecture of an end-to-end Voice AI system connected directly to a GoHighLevel sub-account: 1. Inbound Call Qualification: The AI receptionist handles the greeting, identifies whether the project is residential or commercial, and checks the local service area in real-time. 2. Lead Data Capture: Dynamically captures and formats the caller’s name, phone, email, and property address directly during the voice conversation. 3. Live Calendar Availability: Cross-checks available slots directly against the team’s booking calendar. 4. Autonomous CRM Commit: Automatically generates the contact record, updates the pipeline stage, and commits the calendar booking without human intervention. In the walkthrough above, you can see the entire flow tested live—from the conversation to refreshing the CRM calendar to confirm the slot. The key takeaway with Voice AI isn't just natural speech; it's the backend speed-to-lead architecture and how cleanly the data maps into CRM triggers. Curious to hear from the group: Are you guys implementing voice agents for after-hours lead capture yet, or sticking strictly to SMS / missed-call-text-back flows? Let's discuss below!

Hey everyone, I am looking for some advice. I have been trying to build this AI automation agency for a year now. I have worked on 4 projects for one client I got through warm outreach. In the process, I also started an Instagram page and made a few posts. I am not getting any consistent leads and do not know from where I will get my next project. I feel that I should be posting more and maybe even get back to warm reach outs. I am not sure if I should continue with Instagram or move to LinkedIn. I have not seen anyone recommending Instagram. So I am at a dilemma since I had already started an Instagram page but am not sure if I should move to another platform.

Hey everyone, I've built an AI phone receptionist for restaurants using Retell AI, n8n, Google Calendar, and Google Sheets. The agent can: - Answer incoming calls 24/7 - Check real-time table availability and manage reservations - Reschedule and cancel reservations - Automatically assign tables based on party size and availability - Suggest alternative time slots when tables aren't available The idea was to help restaurants save time, reduce interruptions, and avoid missing reservations. But now I'm questioning whether this is actually the right use case. I've started cold-calling restaurant owners, and I'm not sure whether the problem is painful enough for them to justify paying for an AI receptionist. I'm starting to think that simply saving time isn't necessarily enough. I'd rather build something that helps businesses generate more revenue, acquire more customers, or solve a problem with a clear financial impact. So my questions are: 1. Should I consider applying AI voice agents to a completely different use case or industry where they could deliver significantly more value? 2. How can I find opportunities where a voice agent directly contributes to revenue growth or customer acquisition, rather than just replacing repetitive tasks? 3. Would you continue validating the restaurant receptionist idea, or start exploring other applications before investing more time? I don't want to build AI agents just because the technology is cool. I want to solve a real business problem with measurable ROI. I'd appreciate any honest advice, especially from people who have successfully sold AI voice agents or automation services to businesses.