Let's Be Honest About AI
Every week, I talk to founders who've been sold on AI solutions they don't need. Chatbot wrappers dressed up as "intelligent automation." RAG systems that could be a simple database query. Custom models when off-the-shelf APIs would work fine.
Here's the thing: AI done wrong doesn't just waste money. It wastes time. It creates technical debt. And in a market moving this fast, six months building the wrong thing can mean missing your window entirely.
I help startups figure out what AI actually makes sense for their product. Sometimes that's a simple ChatGPT integration. Sometimes it's a sophisticated RAG pipeline. Sometimes it's "don't use AI here at all." The goal isn't to build AI. The goal is to ship value.
- Audit — Understand your product and where AI could genuinely help
- Advise — Recommend the simplest solution that solves the problem
- Architect — Design model-agnostic implementation (no vendor lock-in)
- Execute — Build it right the first time, or train your team to
Experience
RAG, Agents & Fine-tuning
"The best AI implementation is the one that's invisible to users and obvious in results."
Building AI from core to scale
All components of a complete AI system. Click a level to see what's needed — everything else stays dim.
Ready to Build AI That Actually Works?
Whether you need a simple ChatGPT integration or a custom multimodal system, there's a clear path forward.
- Honest assessment of what you actually need (and don't)
- Complete ownership - code, models, IP + knowledge transfer to your team
- Architecture that ships value and scales with your growth