Hey,
I’m Paweł.
For the last 11+ years, I’ve lived in the trenches of technical support. WordPress hosting issues at 3 AM. DNS configurations that won’t cooperate. Frustrated customers who just need clarity. And then—the hard part—explaining all of it in a way that actually helps.
I’m a tech support professional obsessed with one thing: turning technical complexity into human clarity. And lately, I’ve discovered that AI is the most powerful tool for doing exactly that.
My Journey
I didn’t start out thinking about AI. I started out fixing things—debugging WordPress installations, troubleshooting hosting issues, solving problems that would make most people’s heads spin. My managers always said my technical skills were exceptional. But they also said something else that stuck with me:
“Your communication is good, Paweł, but it doesn’t match your technical expertise.”
That gap—between what I could fix and what I could explain—became my obsession. And it’s where I discovered that I’m not alone. Most incredibly skilled technical professionals face the same tension.
What Changed
Three years ago, I started experimenting with AI. Not to replace myself, but to amplify my expertise. I built n8n workflows. I learned prompt engineering. I integrated vector stores for context. I discovered that when you combine:
- 🔧 Deep technical expertise
- 🤖 Intelligent automation (n8n, Perplexity Sonar, LLMs)
- 📚 Rich context and knowledge enrichment
- ✨ Emotional intelligence in communication
…you get something powerful: technical support that actually sounds like a human helped you.
My AI workflow doesn’t make decisions for me. It researches solutions I wouldn’t have thought to research. It discovers plugins I didn’t know existed. It helps me communicate my technical findings in ways customers genuinely understand. And it’s taught me more about what good support really means than a decade of tickets alone.
What I Do Now
By day, I work in technical support at StellarSites and SolidWP—still fixing those WordPress issues and DNS nightmares.
By night (and early mornings, if I’m honest), I’m obsessed with:
- AI automation workflows that actually solve customer problems
- Prompt engineering that makes AI-generated responses sound authentically human
- Communication bridges between technical expertise and customer understanding
- Vector stores and knowledge enrichment that give AI the context it needs to be smart
- Emotional intelligence in AI—because the technical problem is never just technical
- Support team leadership where feedback loops actually work (using AI as the implementation layer)
Why I Write This Blog
I’m writing this blog because I realized something: the future of customer support isn’t AI vs. humans. It’s humans amplified by AI.
And there are thousands of technical experts, support professionals, and builders out there who feel stuck between being brilliant at their jobs and being great at explaining their jobs. You’re not broken. You just need the right tools.
This blog is where I share everything I’ve learned:
✓ Real workflows that work
✓ Prompt engineering techniques that make a difference
✓ The philosophy behind amplification, not replacement
✓ How to build AI systems that preserve the human touch
✓ Honest takes on where AI helps and where it falls short
Let’s Build Something Better
If you’re tired of support feeling like a struggle between technical excellence and communication expectations, you’re in the right place.
If you believe that the best solutions come from combining human expertise with intelligent tools, let’s talk.
If you’ve ever thought “There has to be a better way to do this,” you’re speaking my language.
Ready to explore how AI can amplify your expertise? Let’s get started.
You might also want to add:
A quick facts sidebar:
📍 Based in: Poland (but working mostly with American teams)
⏱️ Experience: 11+ years in technical support
🛠️ Tools I love: n8n, Perplexity Sonar, Claude, Pinecone, Vector Databases
🎯 Currently: Building AI workflows that bridge technical expertise and communication
📚 Favorite topic: Everything at the intersection of AI, support, and emotional intelligence
