10/19/2025
I built it to fix our mess first.
Three years ago I was stuck rebuilding the same voice agent prompts for every single client we brought on, and it was killing me. Every setup meant hours of copying, pasting, adjusting markup, testing tool calls, connecting to our CRM, and hoping nothing broke.
I'd done it maybe twenty times when I finally snapped.
So I built a custom GPT.
Not because I had some brilliant product vision. Because I was tired of doing the same thing over and over when I had two kids at home and about fifteen other fires to put out.
I studied prompting guidelines from OpenAI, Gemini, ElevenLabs, created a standardized system for tool calls, added Perplexity's browser to scrape client website data... and suddenly the GPT could spit out a fully functional voice agent in about five minutes. The agent knew everything about the client's business, could book appointments naturally, and I just had to copy, paste, and deploy.
Total setup time dropped from hours to maybe an hour, start to finish.
That's when something shifted for me.
We still needed a way to get these agents onto client websites without dealing with custom code every time, so we built a little code generator that created this glowing orb widget. You'd plug in your Vapi public API key and assistant ID and boom - working voice AI embedded on any site.
We made it because we needed it.
Then I started talking to other agency owners and realized they were all dealing with the exact same workflow nightmare we'd just solved.
That internal tool became NeuralFluent AI. A product we now sell.
Here's the part nobody talks about with AI tools: they're only as good as your understanding of what you're trying to do. I'm 43 with a three-year-old and an eight-year-old, so I don't have time to waste. But I've spent years in the trenches building websites, designing CRM workflows, creating automation systems for real businesses with real problems.
That accumulated knowledge makes AI tools work differently in my hands than in someone else's.
When you've built enough systems you start seeing patterns, understanding how pieces connect, knowing which shortcuts actually save time and which ones create more problems.
If you don't have that foundation, no amount of clever prompting will save you. You'll end up with something that looks good but doesn't actually function under pressure.
Here's how we close deals now.
End of a sales call, I ask if they want to test our voice AI system. Then I stop talking and let them experience it. They have a real conversation with an agent trained specifically on their business, watch it book an appointment live, and suddenly all their objections disappear.
I've had people sign contracts right there. Not just for voice AI but for our entire marketing setup - funnels, campaigns, automation, everything - because the demo did what no pitch deck ever could.
Only 18% of businesses use marketing automation right now. Most are buried in missed calls and manual follow-up. That's not a crowded market, that's a wide open door.
We focus on medspas because we understand their specific pain points: appointment booking, review generation, lead nurturing, service promotion. We're not trying to sell generic AI tools to everyone. We're solving very specific problems for a very specific niche.
So here's my take.
Don't build AI products because you think there's money in AI. Build solutions for problems you actually have, make them work in your own business first, and prove they deliver real results under real conditions.
Then you'll have something worth selling.
The products that matter don't come from market research... they come from solving your own problems and realizing other people have the same ones.
👉 I'm curious what problems you've solved that nobody else is talking about. Please share!
