Agent Runtime
How tool-using agents are structured, bounded, and operated as software — not as a chat window.
AI Lab
AI Lab
Production AI, Agents, Evaluation & Reliability
This section is a placeholder for forthcoming technical notes. The modules below describe topics I intend to document — they are not live products or public systems yet.
Enterprise RAG
Retrieval that respects access, freshness, and evaluation instead of a single vector dump.
MCP & Tooling
Tool interfaces, contracts, and the operational surface around model-controlled actions.
LLM Evals
What gets measured before a change ships, and how regressions are caught after it does.
Observability
Traces, prompts, tool calls, and failure modes that can actually be inspected.
Security & Guardrails
Data boundaries, tool permissions, and the controls that make an AI feature shippable.
Detailed technical case studies will be added here. None of these modules represent a shipped public product yet.