All use cases

Prevent / Care

Femtech community moderation

In a women's-health community, one member is describing a frightening symptom and another is being cruel about it — the agent has to tell those two apart, in the moment, at scale.

Close the loopGet aheadBehavioral triggerRisk triggerIn-appWellness (B2C apps)

What it does

A large women's-health community is where members bring the things they will not say anywhere else: a loss, a diagnosis, blunt language about their own bodies. The same bluntness that makes the space valuable is exactly what a keyword filter mistakes for abuse, so it either over-censors lived experience and breaks the trust the community runs on, or it under-moderates and lets genuine harassment stand. The agent reads each post for intent rather than vocabulary, distinguishing raw shared experience from content aimed at hurting someone, and acts on the difference — keeping the space safe without flattening what people came there to share.

How it works

  1. 1
    Trigger. a member posts or comments in the community, or an existing post is reported by another member.
  2. 2
    Decision. the agent classifies intent against the community policy — is this someone sharing a hard experience in frank terms, or content directed at attacking, shaming, or endangering another member? Sensitive-but-supportive language is protected; targeted abuse, harassment, and unsafe medical claims are not.
  3. 3
    Action. clearly supportive posts pass untouched; borderline cases are held for a human moderator with the agent's reasoning attached; clear violations are removed or limited under policy, with a reason logged.
  4. 4
    Follow-through. every decision writes to an audit trail, repeat-offender patterns are surfaced to the moderation team, and a member whose post was held gets a calm, non-accusatory explanation rather than silent deletion.
Example
Member (post)Honestly I hate my body right now, the bleeding hasn't stopped in two weeks and I feel disgusting.
Agent (internal)Distress and frank self-description, not abuse toward another member — keep visible. Two-week bleeding is a possible health red flag; surface a gentle care-resource prompt and route nothing punitively.
Agent (to member)Posting kept up, and added a quiet note pointing her to the symptom-check resource — flagged the bleeding duration for the care team, no moderation action.

Configuration

How the agent is wired for this use case.

Triggera new community post or comment, or a member report on an existing post, arriving from the app backend's community feed
Tools & actions
  • App backend (community feed) · read each post or comment and its thread context as it is created or reported
  • Knowledge base · classify intent against the community moderation policy (shared experience vs targeted abuse vs unsafe claim)
  • App backend (moderation actions) · keep, limit, or remove a post under policy and log the reason
  • Moderation queue · hold borderline posts for a human moderator with the agent's reasoning attached
  • Messaging channel · send the affected member a calm, policy-grounded explanation of any action
Autonomyclear-supportive and clear-violation cases are actioned unattended under the moderation policy, with every message and action judge-gated; anything ambiguous defaults to a human-moderator hold rather than an automated removal
Channelsin-app
Escalationborderline-intent posts, credible safety concerns (self-harm or acute-symptom language), and repeat-offender patterns hand to a human moderator or the care team with full context

What you need

The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.

Signals

community post and comment events, member-report events, thread context

Data

the community moderation policy, member standing and prior-violation history, persistent memory of past decisions for consistency

Guardrails

intent-based classification that protects sensitive lived experience; ambiguous cases default to a human hold, never an automated removal; self-harm or acute-symptom language halts moderation and routes to the care pathway; full audit trail and appeal path on every action

Metrics it moves

  • csatup, as members keep a space that stays safe without erasing the candour they came for
  • contact-ratedown, because consistent automated triage absorbs the volume that would otherwise queue for human moderators
  • opt-out-ratedown, since fewer members are wrongly silenced and fewer leave over unchecked harassment

Related use cases

Prevent / Care

Crisis-language detection and safe handoff

the safety rail for self-harm language surfaced in a post

Prevent / Care

Cycle-anomaly health flag with safe escalation

where a health red flag spotted in community text is routed

Prevent / Care

Clinical red-flag detection and safe escalation

the same intent-over-keyword judgement applied to clinical signals

See it on your own customer journey

Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.

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