AI teams don’t struggle to build models. They struggle to improve them.

It’s easy to tweak models, adjust prompts, optimize pipelines. But after a while, it stops being clear whether those changes are actually helping.

AI doesn’t improve simply by doing more. It improves when you have clarity—when you know exactly what’s limiting progress, and exactly how to move forward.

That’s what I do.

Should you work with me?

I help teams move from guessing to a structured, systematic way of improving AI—one where every iteration is clear, measurable, and actually moves the needle.

The specifics depend on your situation, but it usually comes down to three simple but critical insights.

→ Clarity first
Most teams chase visible improvements without knowing if they’re fixing the real issue. We slow down to first clearly diagnose what’s truly blocking progress.

→ Structured experimentation
AI improvement isn’t linear. You need deliberate, measurable feedback loops so each step forward is clear, repeatable, and proven.

→ Real, lasting progress
Changes that fix one thing but break another aren’t improvements—they’re just movement. We build improvements that genuinely compound, leaving you reliably better off after each step.

So, what’s next?

→ First, check out my blog—I regularly share insights and mental models that can immediately help your team.

→ If you’re working on AI and feel stuck, I set aside limited time for a free office hours—one team per week. You’re welcome to request a spot.

→ For teams ready to dive deeper, I also offer direct, hands-on collaboration.
My minimum level of engagement starts at $2,500. If this is outside your budget, the weekly office hour is a great alternative.