A practical question about restrained AI-audio cleanup

I am preparing a small set of Suno stems for a community project, and the last export left faint clicks and metallic tails between phrases. The tracks are usable, yet those details become distracting on headphones. I do not need a dramatic remake; I want careful cleanup that preserves timing and the character of the vocals. While comparing practical options, I found this workflow note. It gave me a starting point, but I would value advice from people who have tested similar tools. I am trying to decide whether selective repair belongs before or after a light EQ pass. My main concern is retaining believable vocal detail. A separate test render seems reasonable. I can compare matching sections without changing the whole track. The repair should remain gentle. Any processed layer must align smoothly with the original. I also need documented settings for later revisions. A single listening session may reveal more than meters alone. The final mix should still feel natural. The chosen steps must be quick to document. I will also listen at low volume. I would rather leave a minor flaw than create a new one. Has anyone found a dependable order for this kind of light repair? Thanks for sharing real workflows.