Practical guides
Understand the choices.
Build with confidence.
Go beyond individual tools. Work through the decisions, tradeoffs, and failure cases that shape reliable AI applications.
Why AI responses are slow: tracing retrieval, tools and model generation
Separate first-visible-answer delay from completion time, map the request's required work, and choose the next measurement for retrieval, tools, queueing or generation.
Explore the guideWhy RAG retrieves relevant documents but still gives wrong answers
Trace a wrong RAG answer through source coverage, retrieval, context assembly, and generation, then choose a diagnostic that targets the failing boundary.
Explore the guideAgent memory, checkpoints, and durable workflows: choosing what to persist
Choose what must survive a conversation, a worker crash, and an external action, with a worked refund scenario and concrete recovery checks.
Explore the guide