Moderate without killing the vibe
AI can draft your guidelines and pre-write calm, on-brand responses to the tricky situations you'll face again and again. What it can't do is read the room in the moment or carry your values, that's you and a trained mod team on the platform itself.
Fastest path: one prompt, end to end
🤖 AI prompt — paste into ChatGPT / Claude
You are a community moderation lead. Brand voice: [describe: e.g. warm, direct, a little playful]. Community: [platform + who's in it]. Values that matter most: [2-3].
1. Write community guidelines under 500 words, in bullets, covering three things: how members treat each other, what content isn't welcome, and what counts as spam. End with a 3-strike ladder (warn -> mute -> temp ban -> ban) stated plainly.
2. Write ready-to-paste moderator responses, IN MY BRAND VOICE, for these 5 recurring scenarios: (a) a member posts spam/self-promo, (b) two members get into a heated argument, (c) someone posts off-topic repeatedly, (d) a member publicly criticises the brand, (e) a first-time rule-break by an otherwise good member.
3. For each response, keep it short, explain the reason in one line, and never sound like a corporate legal notice.
Output: the guidelines under a heading, then a markdown table with columns Scenario | Ready response | Which strike-level it maps to.
Don't invent policies I didn't ask for. If you cite a moderation best-practice, name the source. If you can't browse, still write everything from what I gave you.
Or do it in 5 steps
- Write guidelines under 500 words as bullets, and put them in the join flow, welcome message, and a pinned post, not a hidden page nobody opens.
- Make rules specific, not vague, and design the reporting flow to force that specificity. 'Be nice' gets applied inconsistently; name the actual behaviours. Nextdoor cut racial profiling ~75% not with more removals but by redesigning the report flow: a reflective pause, then a structured form that made users describe the behaviour, not the person (Tech & Social Cohesion, 2026).
- Recruit and train a small mod bench early on your values, not just generic platform rules. Never be the only one holding the line.
- Run a visible 3-strike ladder: warn -> mute -> temp ban -> ban. Always explain a removal in one line, silent deletes read as arbitrary even when they aren't.
- Keep a living playbook of the pre-written responses so mods stay consistent, and review the guidelines on a schedule as norms drift.
Done looks like: a sub-500-word guidelines doc live in the join flow, a 3-strike ladder, a trained mod team, and a playbook of 5+ ready responses.
Worked example: the Nextdoor case
Nextdoor had a racial-profiling problem in its neighbour 'crime & safety' reports. The fix wasn't more moderators or more removals, it was redesigning the posting flow with 'thoughtful friction', with a measured result:
| Change | Effect |
|---|
| A reflective pause + a structured form forcing users to describe the behaviour first, not the person + built-in guideline reminders | ~75% reduction in racial profiling on the platform (Tech & Social Cohesion, 2026) |
Design beat moderation, as their team put it, moderation is the failure case. Verify the figure at the source before quoting it.
Review the guidelines every quarter as the community grows.