How to build, iterate, and improve loop engineering

Your AI workflow produces results—but how do you know each revision is actually better? Explore Taeho Lee’s approach to building, evaluating, and improving a workflow through repeated checks. Work through what to test, which failures matter, and where a person still needs to inspect the result.

• How do I set up a useful first evaluation loop?
• How should I decide which framework is worth studying?
• My automated checks pass, but the result is still wrong. What am I missing?

Describe the workflow you are building, how you currently check its output, and one failure you want to catch. Use that context to discuss a clearer check or the next revision.

The guidance draws on Taeho’s recorded work with framework selection, evaluation loops, and human inspection of failures that automation can miss.