AI helps quickly generate an initial project skeleton or get started in an unfamiliar stack, reducing setup time and making it easier to begin building experiments, side projects, or student work.
A human still needs to fix incorrect output, adapt the implementation to the real project context, and judge whether the generated foundation is maintainable and appropriate.
I help companies navigate AI adoption -- from strategy to production. Whether you are building your first LLM-powered feature or scaling an agentic system, I can help you get it right.
Design and build LLM-powered products and agentic systems
Go from idea to production with a clear implementation roadmap
Build AI with human-in-the-loop in regulated environments
AI as a tool rather than an authority
Would you treat a serious illness without seeing a doctor, relying only on whatever your favorite AI model suggested? Would you let AI take over your child's education?
Probably not.
So why are you willing to hand over your entire codebase to it?