Build with LLMs, properly
Retrieval pipelines, eval harnesses, and agent prototypes — the unglamorous engineering that separates deployed AI from demos.
- RAG implementations over real document sets, with citation quality measured
- Eval suites: build the tests before you trust the agent
- Guardrail and observability patterns from our production playbooks