AI: Execution Over Hype
AI is a powerful tool, but it's not a magic wand. I use it daily as a force multiplier to deliver stable, high-value software, faster—without ever sacrificing quality. My approach is pragmatic, focused on measurable results.
My Core Principles
Control is Everything
I use AI-assisted tools like WebStorm's AI, ChatGPT, and Gemini Pro to accelerate my workflow. However, I avoid tools that automate code generation without deep oversight. Every line must be deliberate, understood, and tested. The goal is assistance, not abdication.
Generic AI Gives Generic Results
My real leverage comes from building custom tools on top of leading models. I create specialized GPTs and fine-tune models for specific needs, feeding them hyper-specific context to ensure the output is precise and valuable.
Proof, Not Just Promises
This isn't theoretical. It's about practical application and turning business goals into working systems.
AI for Personalization
I built a SaaS tool to generate highly personalized cold-outreach emails. The system analyzes a context of each lead and crafts unique, relevant messages for each one, turning a generic campaign into a set of genuine conversations. I did it personally for v1 of Firstsales.io back in 2023 when I was founding CTO there.
AI for Content Automation
An internal exploration of complex AI automation for SEO article generation. It uses background jobs and dependent steps to create structured content. This is a purpose-built tool designed to execute a specific business task efficiently, not a public-facing product.
The Bottom Line
AI is a powerful amplifier, but it is not a substitute for solid engineering principles. When we partner, you get a technologist who leverages AI pragmatically—to accelerate development, solve complex problems, and deliver measurable business value, with quality and stability as our foundation.