Repeatable AI workflows, not prompt tricks

A practical path through the subject

Reliable AI work depends on more than a prompt. This hub covers context engineering, evaluation, provenance, checkpoints, observability and rollback: the practices that make a workflow understandable and repeatable over time. The focus is operational rather than theatrical, so uncertainty, failed paths and human decisions remain visible instead of being edited out of the story.