Trace-based agent optimization sounds straightforward in theory, but the implementation complexity is often underestimated. Those starting their journey in this space should know: a basic implementation from ~18 months ago revealed critical scaling vulnerabilities quickly. The practical lesson? Begin minimal, test thoroughly, then incrementally layer on sophisticated features. This iterative approach helps identify failure points before they cascade at scale. The gap between concept and execution remains the real challenge.