01
Reliability note
Evaluating Faithfulness in RAG Systems
A claim-level evaluation method that separates retrieval defects, generator overreach, judge error, and production release risk.
FIELD NOTES / ENGINEERING WRITING
Short arguments from the systems layer.
Public-safe notes on retrieval, bounded agents, evaluation, security, and the controls that make GenAI dependable.
FIND IN NOTES
TOPIC
DATE
02
Decision note
Release gates for LLM systems
Why quality, security, latency, and rollback evidence should travel together before an AI feature reaches production.
03
Architecture note
When a bounded workflow beats an autonomous loop
A practical decision rule for choosing explicit states, scoped tools, approval gates, and recovery paths.
04
Security note
Retrieved text is evidence—not authority
How to keep malicious or irrelevant instructions inside retrieved content from becoming executable model behavior.