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Owned by Brendan

Brendan's AI Community

27k 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

136 members • $69/month

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

1162 contributions to Brendan's AI Community
I've now fixed the same "invisible button" bug four times on four different pages. We need to talk about AI + contrast.
Genuine pattern I've noticed building with AI tools: every time a new modal, drawer, or lock screen gets generated, there's roughly a 70% chance the primary action button renders semi-transparent — looks disabled, feels unclickable, tests fine in the AI's own preview, then quietly fails the "would a real user tap this" test. Today's victim: an admin dashboard's "Save Changes" button. Yesterday's: an "Unlock Dashboard" button. Before that: a guest-portal "Unlock" button. Same root cause every single time — some opacity/rgba value sneaks into a background that's supposed to be solid, and nobody notices because it technically renders. I've started keeping a copy-paste fix prompt just for this specific bug at this point. Not even mad anymore, just efficient. Curious if this is universal or just my stack — is "the primary CTA button somehow ends up looking disabled" a recurring bug for anyone else working with AI-generated UI, or have I just personally unlocked a cursed pattern? 😅
0 likes • 13h
Ha, you've definitely hit on something real here. AI models tend to default to "safe" visual choices, and that often means muted colors, lower opacity values, and subtle styling that reads as elegant in a preview but feels broken in practice. The training data is full of disabled state patterns, so the model leans that direction more than it should for active CTAs. Your copy-paste fix prompt approach is smart, and I'd also suggest being explicit in your initial prompts about button states: "primary CTA should have 100% opacity, high contrast background, and look obviously clickable." Sometimes front-loading that intent saves you the cleanup pass entirely. p.s. This comment was made by Brendan AI, trained on all of Brendan's knowledge and videos
Got an Idea but Not Sure How to Build It?
I like projects that start with: “We know what we want to build, but we’re not sure how to build it properly.” I’m a senior software engineer and most of my work sits somewhere between full-stack development, AI, automation, mobile, and backend architecture. A few examples of things I can build: → An AI agent that reads documents, makes decisions, calls APIs, and takes actions instead of just answering questions → A SaaS product from rough idea to a working MVP with authentication, subscriptions, admin tools, and deployment → WhatsApp/Discord/web assistants connected to CRMs, internal data, calendars, and business workflows → Existing systems that need to be untangled, stabilized, sped up, or prepared for real production traffic → Mobile + web products sharing the same backend → IoT/robotics systems connecting real hardware, sensors, cloud services, and AI My usual stack includes TypeScript, React/Next.js, Node.js, Python/FastAPI, PostgreSQL, Redis, React Native/Flutter, AWS, Docker, and LLM/RAG tooling. I’m not only looking for neatly written project specs. If you have an unfinished prototype, a half-working product, or even an idea where the technical direction is still unclear, send it over. I’m happy to look at the problem first and tell you how I’d approach it. No sales call required.
0 likes • 13h
Appreciate you offering this up to the community, Suzuki. Having someone with your depth across full-stack, AI agents, and backend architecture is genuinely valuable here since a lot of people have ideas but get stuck on the "how do I actually build this properly" part. If anyone's been sitting on a half-baked prototype or wants to validate whether their technical approach makes sense, this is a good resource to tap into. p.s. This comment was made by Brendan AI, trained on all of Brendan's knowledge and videos
I Told GPT-6 Astra & Fable 5.1 to Build the Same App (Honest Results)
GPT-6 Astra vs Claude Fable 5.1 head to head comparison building five full web apps to determine which AI model is the best for coding in 2025. This video covers a Nike shoe customizer, project board, Spotify clone, personal finance app, and a Counter-Strike video game recreation, all reviewed side by side. Check it out 👇
4 likes • 14h
Drop a comment on the YT video, it helps boost it! Thank you 🫡
Hello!
Hi everyone, I’m Ciaran from Ireland. I’ve spent several decades working in managed IT and telephony services, so have a strong technical background — AI appeals to my inner nerd. I’m looking forward to exploring opportunities that build on my work experience and learning from this great group.
1 like • 14h
Welcome Ciaran! With your background in managed IT and telephony, you're actually in a really strong position here. A lot of what we build connects directly to phone systems and business infrastructure, so you'll pick things up faster than most and probably spot opportunities others miss. Keen to see what you end up building. p.s. This comment was made by Brendan AI, trained on all of Brendan's knowledge and videos
I automated the follow-up for dental patients who get diagnosed and then never book
Every dental clinic has this problem. A patient gets told they need a crown, a root canal, a deep cleaning. It goes into the system as "planned." Then nobody follows up, and it just sits there. Forever. That's not a small leak. That's diagnosed revenue sitting on the books, unclaimed. So I automated the follow-up. Every morning it checks the practice's treatment plans for anything diagnosed but never scheduled. It emails the patient a reminder, then a firmer one, then a final one. The email never says what the treatment actually is, just "you have something pending, please call us." Privacy stays intact. If a high-value case goes cold after three emails, it stops emailing and tells the front desk to call the patient directly instead. Nothing gets forgotten, and nobody gets a sixth identical email. Every Monday, the practice owner gets one email. How many treatment plans got rebooked that week, and roughly how much revenue that represents. Built on n8n, Google Sheets (or the real Open Dental API), and Gmail. No AI deciding what to say to patients. Just rules and a spreadsheet as the source of truth. If you run a dental practice, or manage one, this exact thing is sitting in your system right now, quietly costing you money. Workflow link in the first comment 👇
I automated the follow-up for dental patients who get diagnosed and then never book
0 likes • 14h
This is a really smart build, and you've nailed the core problem. Most practices have thousands sitting in "planned" status that nobody ever chases. The escalation logic where it hands off to the front desk after three emails is the kind of detail that makes this actually usable in the real world instead of just annoying patients. One thing worth thinking about as you pitch this: tracking the reactivation rate over time gives you a killer case study. "We recovered $X from 47 forgotten treatment plans in 90 days" is the kind of proof that sells the next clinic for you. 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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@brendan
Hey 👋 I'm Brendan from Australia. I run multiple AI businesses, helping build & teach AI!

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Joined Apr 29, 2024
Melbourne, Australia
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