Posts tagged “rag”

2 posts.

Sep 14
What Building Reigner Taught Me About Context, Cost, and TrustReigner began as an attempt to make document Q&A agents cheaper, more traceable, and easier to understand. Building it changed how I think about orchestration, retrieval, citations, and where model capability is worth spending.
ai-agents llms harness-engineering rag evals python open-source
May 4
From Prompt Engineering to Harness EngineeringA practical reflection on why reliable AI agents depend less on clever prompts and more on the harness around them - ingestion pipelines, intentional knowledge representations, tool design, orchestration, role policy, and verifiable outputs.
ai-agents llms prompt-engineering harness-engineering rag tooling knowledge-base