A straightforward, problem-first approach focused on building tools that actually work.
No complex frameworks or jargon. Just a clear path from problem to solution.
Every project begins with understanding what's not working, what's inefficient, or what question needs answering. Not with a preconceived AI solution.
I ask: What are you trying to accomplish? Where does the current approach break down? What does success look like?
Once the problem is clear, I build a minimal but functional version. Not a demo. Not a proof-of-concept that won't scale. A working tool you can actually use.
This means focusing on the core use case first, not every edge case or future feature that might be needed someday.
You use it. We learn what works and what doesn't. Then we improve it based on actual feedback, not assumptions.
AI systems get better with real-world testing. This step is where the tool goes from "functional" to "genuinely useful."
You know your business. I know how to build AI tools. The best results come from combining both.
I'll ask clarifying questions, suggest alternatives, and flag potential issues, but the direction comes from what you need, not what's trendy in AI.
A tool that solves a real problem quietly is better than a flashy solution that impresses people but doesn't get used.
AI is not magic. It's a tool with specific capabilities and specific limits. I'll tell you when something won't work the way you're imagining.
Tools need to be updated, refined, and occasionally fixed. I build with that reality in mind, not as an afterthought.
You're not buying into a proprietary ecosystem. The tools I build are yours, and the approach is transparent.
The goal isn't to implement the latest AI technique. It's to make your work easier, your business more efficient, or your customers better supported.
If that requires AI, great. If it doesn't, I'll tell you that too.
Let's have a conversation about what you're working on and whether this approach makes sense for you.