Production AI readiness
How infrastructure, observability, release safety, and evaluation become a practical operating model for AI systems moving beyond the prototype stage.
Case studies.
Case studies are mature leaves. A normal leaf shows something I built. A case study shows the problem, constraints, approach, outcome, and what I learned.
Self-hosted LLM infrastructure
What it takes to move from a fun local setup to a production-ready inference platform with operational constraints, telemetry, and failure awareness.
Playful systems as technical practice
Why games, small experiments, and interactive prototypes are not side-tracks: they keep real-time thinking, balancing, and system-level intuition alive.
Relationship to the tree: leaves are the shipped artifacts. Case studies are the leaves that have been expanded into a full explanation of how and why they matter.