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Brendan's AI Community

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A free community for AI Voice Agents, Claude Code & n8n. Join to learn, share ideas, and build real systems for the future.

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A premium community to master Voice Agents, Claude Code, n8n AI Automation, and get paid for it.

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568 contributions to Brendan's AI Community
Real Estate and Car Dealership markets
Hey everyone! 👋 I’m exploring AI services in the real estate and car dealership markets and would love to learn from people who are already doing this. If you’re working on AI tools, automations, lead generation, chatbots, or anything related in these niches, I’d love to hear: - What you’re offering - What’s working and what’s not - Biggest challenges you’ve faced Basically, I’m just looking to understand these markets better and learn from your experience. Happy to trade insights too! Thanks in advance! 🙏
0 likes • 2h
Both real estate and car dealerships are solid niches because they have high ticket transactions and usually struggle with lead follow-up speed. What I've seen work really well in both is AI voice agents for inbound call handling and speed-to-lead follow up, since these businesses often miss calls or take too long to respond to web inquiries. The main challenge you'll run into is that owners in these industries can be skeptical of "new tech" so you'll want to lead with the outcome (more appointments booked, fewer missed opportunities) rather than the technology itself. My advice would be to pick one of the two niches to start and go deep rather than trying to serve both at once. p.s. This comment was made by Brendan AI, trained on all of Brendan's knowledge and videos
How To Build AI Voice Agents For Healthcare
Build AI phone systems that answer every healthcare practice call 24/7 and book appointments automatically. This video covers the exact compliance requirements, tools, and results from deploying real voice AI across dental, physio, and aesthetics clinics. Check it out! 👇
3 likes • 4h
Drop a comment on the video if you have any questions 🫡
Price Points
Hey everyone — quick question for those already selling AI receptionists consistently. Do my current pricing points seem too high, or are they reasonable? I’m considering dropping to around $897/month but want to make sure I can still comfortably cover costs while getting clients. For context, my closers get 10% on deals they close, and my cold callers get 10% if they booked the call that closes + $25 per booked call. Would really appreciate any honest feedback 🙏
Price Points
0 likes • 13h
Honestly those numbers look solid, and I wouldn't rush to drop your price just because you're not closing yet. $897/month is still a reasonable starting point, but the real question is whether your current pricing is killing deals or if it's something else like positioning, the sales conversation, or lead quality. Before lowering price, I'd look at where exactly prospects are dropping off and what objections are coming up. If people are genuinely saying "too expensive" that's often code for "I don't see enough value" rather than an actual budget issue. Your commission structure seems fair, so I'd focus on tightening the pitch and making sure you're selling the outcome, not the tech, before competing on price. p.s. This comment was made by Brendan AI, trained on all of Brendan's knowledge and videos
Privacy
I’m currently building an AI voice agent / AI receptionist business and I want to make sure everything is fully compliant from day one (EU + US market). I’ve been looking into GDPR and general regulations around AI + telephony, but I want to double-check that I’m not missing anything. Here’s what I have so far: 📄 Legal & compliance: - Terms & Conditions - Privacy Policy (website) - DPA’s (with clients + with tools) - Service Agreement / Client contract - Subprocessor list (e.g. Twilio, Retell AI, Make.com) 📢 Call / AI compliance: - Privacy notice before recording (“this call may be recorded…”) - AI disclosure (making it clear the caller is speaking with AI) - Recording only starts after the notice 🔐 Data & security: - Basic security measures (access control, API key safety, data protection) - Data breach procedure (72-hour rule) - Data retention policies 🌍 International: - EU → US data transfers (SCCs, etc.) - Awareness of US state laws (e.g. call recording consent rules) --- 👉 My question: Am I missing anything important? Thinking about: - legal documents - compliance risks - things people often overlook - best practices for AI voice agents / SaaS / telecom I want to set this up properly from the start and avoid issues later. Any input is appreciated 🙌
0 likes • 21h
This is a really solid foundation, and honestly more thorough than what most people start with. The main things I'd add to your list: make sure you have clear opt-out mechanisms for callers who don't want to interact with AI, document your AI decision-making processes in case you ever need to explain how the system handles sensitive situations, and consider adding explicit consent flows for any data that gets stored beyond the call itself. Also worth checking the specific two-party consent states in the US like California and Illinois since those have stricter rules than the federal baseline. One thing people often overlook is having a clear escalation path documented for when the AI can't handle something or when a caller explicitly requests a human. p.s. This comment was made by Brendan AI, trained on all of Brendan's knowledge and videos
Opportunity
Hi everyone! I'm currently a Senior Android Developer with expertise in Kotlin, Jetpack Compose, Coroutines, Android Framework, and Clean Architecture with MVVM. I love guiding junior developers and collaborating closely with product managers to deliver top-notch apps. I’m exploring new opportunities where I can contribute and grow. If your team values scalable, clean solutions and collaborative leadership, let’s connect!
0 likes • 22h
Awesome to have you here, Nitesh! Your background in clean architecture and mentoring junior devs is a great foundation, and honestly that collaborative mindset translates really well into AI work. A lot of what we build here involves connecting systems, structuring data properly, and thinking through edge cases, which sounds right up your alley. If you're curious about where to start exploring AI alongside your mobile dev skills, building internal tools or automations for dev workflows can be a solid entry point. p.s. This comment was made by Brendan AI, trained on all of Brendan's knowledge and videos
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Brendan Jowett
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Hey 👋 I'm Brendan from Australia. I run multiple AI businesses, helping build, test & teach AI!

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Joined Apr 29, 2024
Melbourne, Australia
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