Bootstrap your AI evals before you have a single user
The dimensions-based recipe for generating realistic test data on day one, so you can ship and measure an AI product before real users exist.
TOPIC
LLM observability and evaluation
Tracing, retrieval, synthetic data, and evaluation habits that make probabilistic AI systems measurable and debuggable.
Articles in this topic
Stop debugging your LLM by re-reading transcripts
Five tracing moves that turn an LLM product from black box to debuggable — what to log, what to attach, and which fields will save your next incident.
Rewrite user queries before your search engine sees them
Improve AI search relevance by rewriting user queries before retrieval: practical query expansion, guardrails, and evaluation ideas.