I built a context-aware moderation rules engine — feedback on rule design?
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I’ve been exploring a rules + LLM approach where you write plain-text rules (any language) and the system makes approve/flag/reject decisions in under ~500ms, with priority to resolve conflicts.
What I’d love feedback on:
• Is priority the right way to resolve rule clashes (e.g., Personal Attack 0.9 > Verified 1.0 auto-approve)?
• Which starter rules would you expect for gaming, reviews, forums, marketplaces?
• Would you prefer BYOK or fully managed pricing?
• What’s your minimum viable audit trail for “why was this rejected?”
Sample rules for context:
“Allow emotional hotel reviews; block insults toward staff.”
“Respectful policy debate allowed; insults toward individuals → reject.”
“New user + external link → review.”If useful, I can share more implementation notes and starter rule packs in the comments.
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We tested this setup on 100K+ real messages last week:
• Avg. decision time: <480ms
• Auto-approved: 82%
• Flagged: 13%
• Rejected: 5%
What surprised us most — even simple rules like
“Reject only if message targets a person”
cut false positives by almost 40%.
https://www.producthunt.com/products/moodiqo