AI system design

Documentation workspace for production AI agent system design: harness versus runtime separation, runtime capability checklists, and reference captures for later adaptation.

Foundation

• Outline
• Production requirements and runtime capabilities
• End-to-end LLM application design concepts

Draft chapters

• Harness versus runtime
• Runtime capability deep dives
• Operations
• Product and compliance
• Transmute-Data fit
• Decision log

Reference library

Browse the catalog for references and case studies, or open the LangChain runtime article and Databricks Genie article directly.

Site prototype

This static site uses MkDocs Material (docs subsite pattern) with AIS-inspired scroll reveal on long pages. See GitHub Pages handoff for design options and deployment notes.