Most AI observability content is written for enterprise teams running production AI at scale, but this guide targets small teams and solo founders who have just shipped their first AI feature. The recommendation is to implement only essential monitoring practices initially rather than over-engineering the entire observability stack. Starting minimal keeps the focus on shipping while still catching the most common failure modes in LLM-powered features.