Build a Prompt Evaluation Workflow Before You Ship
A practical way to turn a vague AI feature requirement into cases, rubrics, review slices, and a repeatable release check.
Practical AI engineering guides
Estimate LLM Cost and Latency Without Fooling Yourself
Use a workload model and an end-to-end latency budget to make AI feature tradeoffs explicit before traffic arrives.
Run RAG Chunking Experiments That Answer a Real Question
Choose a starting chunking baseline, build a representative retrieval set, and compare changes without confusing index size for relevance.
Design Safe Agent Tool Execution With Clear Boundaries
Give an AI agent useful capabilities while keeping authorization, validation, retries, and human escalation in deterministic application code.
Move an AI Feature From Prototype to Production Deliberately
A release checklist for turning a promising AI demo into a bounded feature with evaluation, observability, user feedback, and operational ownership.