AI for social and community, with moderators making the call
OceanLab builds AI into community and social products: sorting reports, spotting scams and supporting moderators. The AI sorts and flags; moderators decide. Every example below is a product we built.
OceanLab product builds
AI products we designed and built in this industry. Each one is a full case study with screens, scope and the rules it was built for.
Fernlight - Safety-First Dating App with a Trust and Safety Console
Designed and built a clickable trust and safety console for a Wellington start-up's dating app for adults in New Zealand and Australia: a report queue triaged by severity with response targets, a case workspace that shows only reported conversations, romance scam clusters and a support inbox that hands safety issues to the queue.
Tunet - White-Label Community Platform for Membership Organisations
Designed and built a clickable community admin console for an Oslo software company's white-label community platform, shown for its first customer, a national hiking association: a community overview, a moderation queue with a full case workspace and decision flow, and event management with RSVPs, waitlist, check-in and attendee messages.
Where AI earns its place
Each use case names the builds that did it.
Report triage
A report queue triaged by severity with response targets, and a case workspace that shows only the reported conversations.
Scam detection
Romance scam clusters shown to the trust and safety team, and a support inbox that hands safety issues to the queue.
Community moderation
A moderation queue with a full case workspace and decision flow for a white-label community platform.
What to plan for
The rules that shape AI in this industry. General information, not legal advice: check with your own counsel.
Reports and appeals
Under the EU Digital Services Act, people can report illegal content on the platform, and platforms must respond to reports and offer ways to appeal their decisions.
European Commission: the Digital Services Act, checked 2026-10-25
Least data in view
Severity first
Protect minors
Frameworks our AI builds here cite
From one workflow to production
- 01
Pick the workflow
We start from one workflow your team wants off its plate and agree what a working result looks like.
- 02
Clickable AI prototype
Your team tries the flow on a clickable prototype before any production code is written.
- 03
Production build
We build the production version, with the approval steps and records your industry needs.
- 04
Launch and improve
It goes live in your team's hands, and we tune it as real work runs through it.
Priced either way, whichever suits the work: outcome-based, paid per milestone, or hourly at $30-50 depending on role and seniority. More on AI automation →
Questions teams ask
What can AI do for a social or community app?
Sort user reports by severity, show scam patterns to the trust and safety team and give moderators a case workspace with only what they need. Each of these is a product OceanLab built.
Does AI decide what gets removed?
No. In our community builds the AI sorts and flags, and moderators decide. The EU Digital Services Act also expects platforms to respond to reports and offer appeals.
How is it priced?
Either way, whichever suits the work: outcome-based, where you pay per milestone, or hourly at $30-50 depending on role and seniority.
Keep exploring
Are you an AI lab looking for human training or evaluation data? That is a separate offer, OceanLab Labs.
