Why I Built Det(AI)ler: Turning 20 Years of Detailing Wisdom Into Your Pocket Partner
- Adam Churchwell
- Aug 18, 2025
- 7 min read

You know, it's funny how life comes full circle. Twenty years ago, I was just a guy with a spray bottle and a microfiber cloth, trying to figure out why some cars gleamed like mirrors while others looked like I'd washed them with sandpaper. Fast forward to today, and I'm preparing to launch Det(AI)ler—an AI-powered app that could have saved me years of trial and error (and probably a few embarrassing moments with customers).
This isn't just another tech solution looking for a problem. This app was born from real frustration, genuine need, and two decades of learning the hard way that the detailing industry deserved better than generic YouTube tutorials and one-size-fits-all advice.
The Problem That's Been Staring Us in the Face
Let me paint you a picture. You're standing in front of a customer's car—maybe it's a pristine 2023 Tesla or a weathered pickup truck that's seen better days. You know you need to deliver that showroom shine, but every vehicle tells a different story. The paint condition, the environment it's lived in, the owner's expectations—they're all unique variables that require specific approaches.
Yet when most detailers look for guidance, what do they find? Generic advice that treats every car like it rolled off the same assembly line yesterday. "Use this product." "Follow these steps." "One method fits all."
That approach frustrated me for years. I'd watch talented detailers second-guess themselves, waste time on ineffective techniques, or worse—deliver subpar results because they were following cookie-cutter instructions that didn't match their specific situation.
The auto detailing industry has been crying out for personalized, expert-backed guidance that adapts to real-world scenarios. Not generic advice from someone who detailed three cars last summer, but battle-tested wisdom from professionals who've seen it all.
Twenty Years of Learning the Hard Way
My journey in detailing started like many others—with enthusiasm that far exceeded my knowledge. I made every mistake in the book: using the wrong products on sensitive surfaces, applying techniques that worked for one car but destroyed another, and learning through expensive trial and error.
But those mistakes became my teachers. Over two decades, I've worked on everything from exotic supercars to daily drivers that looked like they'd survived a dust storm. I've dealt with paint corrections that seemed impossible, tackled interiors that defied logic, and developed techniques that went far beyond what any manual could teach.
More importantly, I started recognizing patterns. Certain paint types responded predictably to specific approaches. Environmental factors consistently influenced which products worked best. Customer expectations aligned with measurable outcomes when you knew what to look for.
These weren't just random observations—they were data points building toward something bigger. Every successful detail, every satisfied customer, every "how did you make it look like that?" moment contributed to a growing database of real-world knowledge.
The problem was, this knowledge lived in my head (and the heads of other experienced detailers) rather than being accessible to the broader community. We had the solutions, but no efficient way to share them with those who needed them most.
Where Generic Advice Falls Short
Here's what most detailing resources miss: context matters more than technique. A method that works beautifully on a garage-kept vehicle in Arizona might be completely wrong for the same car model that's lived through three Minnesota winters.
Traditional resources treat detailing like a recipe—follow steps A through Z, and you'll get consistent results. But detailing is more like jazz improvisation. You need to know the fundamentals, but success comes from reading the situation and adapting your approach in real-time.
I've seen detailers struggle because they were applying techniques designed for professional-grade equipment to their mobile setup. Others followed advice meant for paint correction specialists when they needed guidance for maintenance washing. The mismatch between generic advice and specific situations creates confusion, wastes time, and often leads to disappointing results.
Even worse, this one-size-fits-all approach can be genuinely harmful. I've witnessed detailers damage paint because they followed aggressive correction techniques on vehicles that needed gentle care. The cost of these mistakes goes beyond just money—it damages confidence and reputation.
The AI Revolution in Auto Detailing
When artificial intelligence started making waves across industries, I initially remained skeptical. Another tech buzzword promising to revolutionize everything? We'd seen that movie before.
But as AI technology matured, particularly in areas like personalized recommendations and adaptive learning, I realized it could solve the exact problems I'd been wrestling with for decades. AI doesn't just process information—it can analyze multiple variables simultaneously and provide tailored guidance based on specific conditions.
Imagine having an experienced detailer beside you for every job, someone who could instantly assess your situation and provide customized advice. That's exactly what AI makes possible, but at scale and with consistency that even the best human mentor can't match.
The technology allows us to take those patterns I'd been recognizing for years and systematize them. Vehicle type, paint condition, environmental factors, available tools, skill level—AI can process all these variables simultaneously and deliver personalized recommendations that adapt to each unique situation.
This isn't about replacing human expertise; it's about amplifying it. Every technique, every recommendation, every piece of guidance in Det(AI)ler is grounded in real-world experience. AI simply makes that knowledge accessible, personalized, and available whenever you need it.
Building Something Different
When I started developing Det(AI)ler, I knew it had to be fundamentally different from existing resources. This couldn't be another app that digitized generic advice or created a pretty interface around the same old information.
Instead, I focused on three core principles that would make Det(AI)ler genuinely useful:
Personalization over generalization. Every recommendation adapts to your specific situation. Wehn inputted, The app considers your vehicle type, condition, environment, available products, and skill level before suggesting approaches.
Practical over theoretical. No academic discussions about surface tension or molecular bonding. Just clear, actionable guidance that helps you achieve better results with the tools you actually have.
Growth-oriented over static. The app learns from user feedback and continuously improves its recommendations. Your experiences help make the guidance better for everyone.
But here's what I'm most proud of: Det(AI)ler maintains that human element that makes great detailing possible. The app provides the technical foundation, but it also recognizes that detailing is part science, part art. It guides without restricting, teaches without lecturing, and supports without replacing your judgment.
Features That Actually Matter
Let me walk you through what makes Det(AI)ler different from other detailing resources:
Intelligent Vehicle Assessment: The app analyzes your specific vehicle and situation, considering factors like paint type, condition, age, and environmental exposure. No more guessing whether advice applies to your situation.
Step-by-Step Guidance: Clear, sequential instructions that adapt based on your progress. If you encounter an unexpected situation, the app adjusts its recommendations in real-time.
Product Optimization: Recommendations based on what you actually have available. The app works with your existing supplies while suggesting targeted improvements when helpful.
Skill-Based Progression: Whether you're a weekend warrior or seasoned professional, the app meets you at your current level and helps you develop more advanced techniques over time.
Quality Assurance: Built-in checkpoints that help you evaluate your progress and catch potential issues before they become problems.
The interface itself reflects twenty years of understanding how detailers actually work. No complicated menus or buried features. Everything you need is accessible with minimal taps, because when you're holding a microfiber cloth, you don't want to navigate through seventeen screens to find the information you need.
More Than Just an App
Det(AI)ler represents something bigger than convenient access to detailing advice. It's about democratizing expertise and raising the overall standard of our industry.
Too many talented people abandon detailing because they feel overwhelmed by the learning curve or frustrated by inconsistent results. Det(AI)ler removes those barriers by providing reliable, personalized guidance that builds confidence over time.
For experienced detailers, the app becomes a force multiplier. Instead of wondering whether you're using the optimal approach, you can focus on execution, knowing your technique is backed by proven methodology adapted to your specific situation.
But perhaps most importantly, Det(AI)ler helps create better outcomes for customers. When detailers have access to expert-level guidance, everyone wins. Vehicles receive better care, customers get superior results, and professionals build stronger reputations.
This creates a positive feedback loop that elevates our entire industry. Better results lead to higher customer satisfaction, which creates more demand for quality detailing services, which attracts more skilled professionals to the field.
Looking Toward Launch
The app is already avaialbe in the Apple App Store and as we approach the launch of Det(AI)ler on Google Play, I'm genuinely excited about what this means for our industry. We're not just releasing an app; we're introducing a new standard for how detailing knowledge gets shared and applied.
The beta testing has already shown promising results. Detailers report feeling more confident in their approach, achieving better results in less time, and handling challenging situations with greater ease. Even experienced professionals are discovering techniques and optimizations they hadn't considered.
But here's what excites me most: the community aspect. Det(AI)ler creates opportunities for detailers to learn from each other in ways that weren't possible before. Success stories, technique refinements, and innovative approaches get shared and incorporated into the app's recommendations, creating a continuously improving resource that benefits everyone.
Why This Matters Now
The auto detailing industry stands at an interesting crossroads. Consumer expectations continue rising while the complexity of modern vehicles increases. Paint technologies evolve, new materials enter the market, and environmental regulations change how we approach our work.
Traditional training methods can't keep pace with these changes. By the time a technique gets documented in a manual or taught in a formal program, the industry has already moved forward. Det(AI)ler solves this by creating a living resource that adapts as our industry evolves.
This isn't just about convenience or efficiency—though both matter. It's about ensuring that quality detailing remains accessible to professionals at every level while pushing the entire industry toward higher standards.
When detailers have access to expert guidance that adapts to their specific situations, they deliver better results. When they deliver better results, customers develop deeper appreciation for professional detailing services. When customers value our work, the industry grows stronger.
Your Invitation to the Future
Det(AI)ler lis out now on The Apple App Store and launches in the next few weeks on Google Play.
Whether you're a seasoned professional looking to optimize your techniques or someone just starting to explore the world of auto detailing, Det(AI)ler will meet you where you are and help you achieve results you didn't know were possible.
I built this app because I wished it had existed twenty years ago when I was starting out. Every mistake I made, every technique I had to learn through trial and error, every moment of uncertainty—Det(AI)ler addresses those challenges with



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