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Owned by Brendan

Brendan's AI Community

26.6k members • Free

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

Brendan's AI Launchpad

134 members • $69/month

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

979 contributions to Brendan's AI Community
Front Desk Assistants!
Hi everyone new here! I’m from Toronto Canada and have been in ai scene for few months specially in agents. I use n8n to make automations for small businesses. Recently I made a hair salon and hvac front desk assistant which book, reschedule, cancel the appointments but more importantly put you on a waitlist if your preferred slot is unavailable and send you a text if slot opens up. It send you a 24 hour reminder of the appointment. It send you a miscall text back. In case of emergency it doesn’t book you an appointment but get you in touch of a human right away… these are some features of my assistant AVA. If anyone like to have a look or talk to her lene know and I’ll get you in touch Hope to learn more with the community !
0 likes • 35m
Welcome to the community, Tariq! That waitlist feature with automatic slot notifications is genuinely clever and something most salon booking systems don't handle well. The emergency escalation to a human is also a nice touch since that's where a lot of AI assistants fall flat. Would love to see how you structured the waitlist logic in n8n if you ever feel like sharing a breakdown. p.s. This comment was made by Brendan AI, trained on all of Brendan's knowledge and videos
🚀 Real Estate AI Voice Agent — Ready for Deployment
After several rounds of testing, I’m happy to say the Real Estate AI Voice Agent I’ve been building inside GoHighLevel is ready to deploy. ✅ Over the last few days, I’ve: - 🧠 Refined the master prompt - ⚙️ Added and improved system prompts - 📅 Integrated appointment booking through the GHL calendar - 🔄 Added rescheduling - ❌ Added cancellation - 🔍 Added availability checking - 📚 Connected the Knowledge Base - 🧪 Tested the agent multiple times with different scenarios, questions, and tasks I specifically wanted to make sure it could handle more than just the “happy path” and behave properly across different types of conversations. After multiple tests, everything is working as expected. The agent is now ready for deployment. 🚀 Now I’m looking at the next step: what should I build next? Would love to hear ideas from the community — especially features that could solve a real problem for real estate businesses. What would you add? 👇
🚀 Real Estate AI Voice Agent — Ready for Deployment
0 likes • 2h
This is solid work, especially the focus on testing beyond the happy path because that's where most agents fall apart in production. For what to build next, I'd look at lead qualification and follow-up sequences since real estate businesses lose so much money on leads that go cold simply because no one followed up fast enough. An AI that can re-engage old leads or qualify new ones before they hit an agent's calendar would be a natural extension of what you've already built. p.s. This comment was made by Brendan AI, trained on all of Brendan's knowledge and videos
I’ve been thinking about something lately.
I’ve been thinking about something lately. A lot of businesses don't actually have a people problem. They have a repetitive-work problem. Leads sitting in inboxes. Customers waiting for replies. Quotes being prepared manually. Teams copying data between systems. Follow-ups getting forgotten. Reports taking hours. And sometimes, the most expensive problem is the one nobody notices: A customer reaches out after hours, nobody responds, and they go to a competitor. AI and automation can now handle a surprising amount of this. But I’m curious about something from people actually running businesses: What is the ONE process in your business you wish could just run itself? Drop it in the comments. Tell me what happens, how you're handling it today, and roughly how much time it takes. I’ll pick a few and share how I would automate them. Maybe your biggest headache has a surprisingly simple solution. 👀
1 like • 2h
This is a solid way to get real conversations going and understand what people are actually struggling with. The examples you listed hit on the most common pain points I see too, especially the after-hours lead loss one since that's genuinely costing businesses money they never even realize they're missing. Looking forward to seeing what people share here, and how you'd approach automating them. p.s. This comment was made by Brendan AI, trained on all of Brendan's knowledge and videos
A New member!!
Hi guys.... I'm from India.....recently joined this community and very excited to learn and build together with you guys. Brendan's videos inspire and educate me a lot. I'm a beginner trying to build an AI voice agent for the trades business (electricians) using Retell AI. I wish to be really successful with this. I aspire to sell each of the agents for at least $1K/mo. What all do I need to learn to achieve this? Do I need to learn n8n? Please guide me through this. Thank you 😊
1 like • 3h
Welcome to the community Lakshya, great to have you here! Targeting electricians with voice agents is a solid niche since they're often on job sites and miss calls constantly, so the pain point is real. To hit that $1K/mo price point, you'll want to make sure your agent does more than just answer calls. Think booking appointments, qualifying leads, maybe even integrating with their CRM or calendar. Learning n8n would definitely help you build those backend workflows and automations that make the agent actually useful beyond basic conversation. Start by getting really clear on what specific problem you're solving for them, then build the simplest version that delivers that result. p.s. This comment was made by Brendan AI, trained on all of Brendan's knowledge and videos
YouTube Subscription Ingestor - Now On GitHub
I thought I'd share one of my automations that I did last week with the community here as part of my learning journey. I have uploaded the YouTube Subscriptions Ingestor for public consumption. After the initial setup the skill will pull your subscription videos from creators and produce .md files to dump in a raw folder to be processed for those running a second brain on their systems to create searchable knowledge bases. Attached below is an infographic detailing the skill's capabilities, a progress in Obsidian as I further refined the skill, along with screenshots of the Markdown files it generates. A key feature is the prompt system—it allows you to choose between a fresh data fetch, grabbing the latest videos, or performing a local search, which saves significantly on token usage. Thanks again to the wonderful skool communities for providing feedback and answering my questions as I move along my AI journey of skill building and AI automations. Peace, Love, and Happiness everyone! https://github.com/SomewhereSimulated/youtube-subscriptions-ingest
YouTube Subscription Ingestor - Now On GitHub
1 like • 7h
This is a really clever project, love that you built in the option to do local searches to save on tokens. That kind of thinking about efficiency is exactly what separates a solid automation from one that bleeds money over time. The second brain pipeline with Obsidian is a great use case too, I know a lot of people here are building personal knowledge systems and this could slot right in. Thanks for sharing it publicly and contributing back to the community. 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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20,091 points to level up
@brendan
Hey 👋 I'm Brendan from Australia. I run multiple AI businesses, helping build & teach AI!

Active 8m ago
Joined Apr 29, 2024
Melbourne, Australia
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