Build an AI copy humanizer skill with a feedback loop

Create a Google Docs folder with 5-10 writing samples that actually sound like the person or brand you want to emulate. Include LinkedIn posts, emails, landing page sections, internal notes, or transcripts if they capture natural phrasing. Add 5 examples of AI-written copy that feels wrong and annotate why: too polished, too symmetrical, too generic, too many transitions, no domain specificity, or no real opinion. The skill needs both positive and negative examples to learn what to preserve and what to avoid.

Create a scoring rubric with four 1-10 categories: AI likeness, authenticity, reader value, and domain credibility. For each category, define what scores 1, 5, and 10 look like, and include common failure patterns. Store the rubric in Google Docs and add a Google Sheets tracker with columns for draft type, score, diagnosis, rewrite decision, reviewer feedback, and rule added. QA check: a reviewer should be able to score the same draft within one point of the skill.