egeindie

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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egeindie

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