AI for creator platforms

Creator platforms, made smarter without a rewrite.

We add the AI features that keep creators and their audiences engaged, semantic content discovery, a creator content assistant, personalized recommendations, and moderation that scales, to the app you already ship.

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You have creators and an audience. Attention is the scarce thing.

Your platform works. Creators publish, followers follow, sessions get booked or content gets watched. The hard part now is attention: helping a follower find the creator or piece that fits them, helping a creator produce and describe more without burning out, and keeping the community healthy as it grows past what a moderation queue can handle. That is the work AI is actually good at on a creator platform.

The constraint here is not the model, it is the relationship between a creator and their audience that your product already mediates. A rebuild risks the habits and the catalog that make the platform sticky. So we do not rebuild. We add AI as a layer beside your discovery, publishing, and moderation flows, feeding on the content and interaction data you already collect. The creators, the audience, and the content stay exactly where they are.

What we build

Four AI features that earn their place on a creator platform.

These are the patterns we see keep both sides of a creator platform engaged. Each one sits beside your existing discovery and publishing flow, built on the content and interest data you already have.

Semantic content discovery

Discovery that understands intent, letting a follower find a creator, session, or piece by what they actually mean rather than by the exact tag someone remembered to add.

What it changes: The long tail of your catalog starts surfacing to the right people, so creators past the top few get discovered and followers stop bouncing off a thin search.
How it is built: Content and profiles embedded into a vector index, with query enrichment on top so a loose natural-language request maps to the right results, and a fallback so it always returns something.

Creator content assistant

An assistant that helps a creator do the parts they dislike: draft a title and description, suggest tags, summarize a long session, or spin one piece into variations for different surfaces.

What it changes: The tax on publishing drops, so creators post more and describe it better, which feeds discovery and keeps the supply side active.
How it is built: An LLM pass grounded in the creator’s own content and voice, drafting into your existing fields, with the creator reviewing and editing before anything publishes.

Personalized recommendations

A feed and set of suggestions driven by a person’s interests and behavior, so what they open next is more likely to be worth their time.

What it changes: Session length and return visits go up because the platform stops showing everyone the same shelf and starts showing each person the shelf that fits them.
How it is built: Interest signals from profiles and behavior fused with semantic matching over your catalog, so recommendations reflect both what a person likes and what is actually available.

Community moderation at scale

A moderation layer that reads posts, comments, and messages, flags policy violations and abuse, and surfaces the risky few instead of the entire stream.

What it changes: The community stays healthy as it grows, and your team reviews the flagged minority rather than trying to read everything a growing platform produces.
How it is built: A classification pass tuned to your community guidelines, feeding a human review queue rather than auto-removing on a model guess.

Proof

What we have actually shipped for creators.

We name only work we can stand behind, and we are precise about who delivered it.

Kinobody

Built by our founder and team

An influencer-backed fitness platform for Greg O’Gallagher (Kinobody) to sell courses and deliver customized plans to his large audience across iOS, Android, and web, with an admin portal for managing content. Our founder built the mobile apps, the auth and security, and the admin portal with its plan builder.

100k+ downloads and around 4.8 stars on the App Store
Serves 10k+ monthly users behind a creator with a 1M+ following
Admin portal with a customizable plan and pathway builder

How we build cross-platform

The LYVE App

Inseed project, live on both stores

A marketplace and community for carnival-goers with a real creator layer: influencers build checklists and run their own channels, and followers see exactly where an influencer is going and when. Our founder led the project and owned the mobile build.

3,000+ users across iOS and Android
Influencer follow system tied to shareable checklists
Influencer-created chat channels alongside per-event and per-carnival channels

Read the LYVE case study

Bookvid

Delivered by our team

A live platform where people book 1:1 or recurring video sessions with experts across many domains, with a host dashboard for creators to set pricing, series, and events, and Stripe payments. Work our team delivered; our founder led the frontend and the scheduling layer.

Expert discovery across domains with a host dashboard for creators
Scheduling via Cronofy plus a custom scheduler for single and recurring sessions
Booking to payment to recorded video session in one flow

How we build discovery

Creators Closet

Inseed project

A two-sided creator resale marketplace where each creator gets a public storefront at their Instagram-handle subdomain and buyers check out as guests. Built end to end (creator app, storefront, admin) though not launched, as the client stepped away before release.

Per-creator subdomain storefronts resolved by Instagram handle
Creator mobile app for listing plus a public buyer web storefront
One Supabase backend serving mobile, web, and admin

Straight answer on the gap: our creator-platform track record is strong on the product side (creator apps, host dashboards, plan builders, storefronts, follow systems) and our AI depth (semantic discovery, recommendations) is proven in adjacent products rather than inside a creator platform specifically. The audit is where we prove the specific feature on your platform, in a throwaway prototype, before you commit to a build.

Borrowed proof, labeled honestly

React Native holds up on creator and community apps.

React Native runs in production at Discord, Pinterest, and Shopify, community, discovery, and creator-commerce products used by hundreds of millions. These are not our clients. They are proof that the framework we build on carries a feed-heavy social product, so the question for yours is the feature, not the foundation.

How it starts

It starts with an audit, not a rebuild.

We do not open with a six-figure proposal. We open with one week of work that tells you exactly where AI fits in your platform, what it costs to run, and whether it is worth building at all.

Step 1

Mobile App Audit

$5K to $8K

1 week

A written assessment of where AI fits in your app, a working proof-of-concept of the top feature, and a cost model you can take to your board. The fee credits toward a Sprint signed within 30 days, or is refunded if the report is not useful.

Step 2

AI Integration Sprint

$15K to $30K

2 to 4 weeks

One AI feature shipped into your existing app, as a thin integration layer with fallbacks, caching, and guardrails. Your architecture stays yours.

Step 3

AI-Native Mobile MVP

$25K to $75K

6 to 12 weeks

A production-ready AI-native mobile MVP when the answer is a new product rather than a feature. Fixed price, fixed milestones, both stores.

See full pricing

FAQ

Creator-platform questions, answered straight.

Will semantic discovery surface small creators, not just the top few?

That is much of the point. Keyword and tag search rewards whoever already has volume and good metadata. Semantic discovery matches on intent, so a follower looking for a specific vibe or niche can land on a smaller creator whose content fits, even if that creator never optimized their tags. We build a fallback so results are always returned, which keeps the long tail reachable.

Does the content assistant sound like the platform or like a robot?

We ground it in the creator’s own content and voice rather than a generic model persona, and the creator always reviews and edits before publishing. The assistant drafts into your existing fields to remove friction; the creator keeps authorship. A tool that makes everyone sound the same would hurt the platform, so we design against that.

Can you personalize feeds without a heavy data-science team?

Yes. A strong first version fuses interest signals you already collect with semantic matching over your catalog, which gets you personalized recommendations without standing up a full recommendation-systems org. You can layer more sophisticated ranking later; the point is to ship a version that beats one shelf for everyone.

How does moderation keep up as the community grows?

A classification layer reads posts, comments, and messages and flags the risky minority for human review, tuned to your community guidelines. Your team stops trying to read everything and reviews what is flagged. The model triages; humans keep the final call on anything consequential.

Can creators manage AI features themselves?

Yes, and we have built exactly that kind of self-serve control. Kinobody’s admin portal lets the team build and manage courses and customized plans without engineers. AI features can be wired the same way, so creators and operators configure and control them from a dashboard rather than filing a ticket.

Is React Native robust enough for a feed-heavy creator app?

Yes, and we can point at live evidence. Kinobody serves 10k+ monthly users across iOS, Android, and web. LYVE runs an influencer follow system and multi-channel chat in production. Beyond our work, Discord, Pinterest, and Shopify run React Native on feed-heavy social and commerce products.

Ready to add AI to your creator platform?

30 minutes, free. We will look at your app and tell you honestly where AI fits, what it costs, and what we would build first. Shuhel will be on the call.

Book a 30-minute call