Production LLM systems, built end-to-end: eval harnesses (LLM-as-judge with versioned rubrics), guardrailed MCP servers, safe agent scaffolds with human-in-the-loop approval and injection defense, and RAG pipelines with retrieval evals.

The reference implementations are public and running at labs.novellogicventures.com — every metric there comes from a real run I can show you the output for. Engagements range from wiring a template into your stack to building the full system.