Current focus: AI Application, Product Engineering and System Integration — especially turning a vague requirement into a verifiable flow, then building it out through API, data, permissions, deployment and real operations.
Next: push delivery toward stable, documented, verifiable work that someone else can pick up — and move AI from assisted development into production applications, with public engineering evidence for agents, tool calling, RAG, permissions and human approval, evaluation, tracing and failure handling. Not just having used them.
The WorldMonitor contribution is one concrete rep of that: read the existing data flow and command design, reproduce the gap in a self-hosted setup, then protect the fix with a regression test. I will keep comparing the constraints and maintenance cost of different open-source architectures so technology choices come with reasons.