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Adaptive AI chat & PPV engine for Fanvue creators

Website, pricing, platforms and company facts side by side.
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| Website | velvr.app | codegres.org |
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| Company | Startup from Vereinigte Staaten · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Velvr is an AI chat and PPV automation engine for creators on Fanvue, available in the official Fanvue App Store. It replies to every fan message automatically in the creator's configured persona voice (9 personality archetypes plus a tone slider), tracks each fan through a transparent 5-phase...
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As answered by people managing Velvr.app and Codegres.org.
Velvr.app's answer
Velvr is the only Fanvue tool where compliance is mechanical, not prompt-based: every AI reply passes six deterministic server-side validators before it's sent — including a mandatory EU AI Act Article 50 disclosure on the first reply and hard limits the AI cannot override. It pairs that with a transparent 5-phase fan funnel you can inspect per fan, and true multi-persona isolation within a single account.
Velvr.app's answer
Most Fanvue AI tools rely on prompts and probabilistic judging. Velvr guarantees output compliance with deterministic, audit-logged validators, shows the engine's decision state transparently for every fan (no black box), and is Fanvue-native by design — every engineering hour goes into Fanvue depth, not platform breadth. Pricing is flat with hard usage caps and no revenue share.
Velvr.app's answer
Fanvue creators and the operators and agencies who run them — from solo creators to multi-persona operators managing several personas from one account.
Velvr.app's answer
Velvr grew out of running a live AI-chat operation on Fanvue. Several rounds of prompt-hardening proved that prompts alone can't keep an AI reliably compliant, so we rebuilt the system around mechanical, server-side validators. That became Velvr's core idea: an adaptive engine with a transparent funnel and compliance guaranteed in code, not left to creator discipline.
Velvr.app's answer
Built on Next.js and TypeScript with a PostgreSQL backend, cloud-hosted, with durable background workflows. AI replies run on large-language-model APIs, always behind Velvr's deterministic server-side validators.
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