We built an AI-ism detector after our own blog post got called out

Earlier in the week I posted about how our first blog post got flagged for AI-ism patterns. Triple parallel structures, hedge qualifiers, copula dodging. The patterns that make readers think "this is AI" even when the content is good. (https://www.indiehackers.com/post/our-first-blog-post-got-called-out-for-ai-isms-touche-865133f220).

So we built detection for it directly into Noren's output checks. Four detectors scanning every generation: triple parallels, gerund litanies, hedge qualifiers, and copula dodging. Pure string matching, no LLM calls.

Violations get flagged as metadata alongside our existing anti-pattern checks. Building in public means your users call you out and you ship the fix the same week.