HunterRose is an AI persona creation and lifecycle management platform. Define a character's voice, niche, visual style, and backstory. Upload reference images and approve them to build a canonical face embedding via computer vision. Track personas through their lifecycle — from incubation through active deployment to retirement.
The personas list shows every character in your workspace. Filter by lifecycle status (Incubating, Warming, Active, Paused, Retired) or search by name. Each row shows the persona's name, niche, current status badge, and creation date. The dashboard summarises counts per status for a quick portfolio view.
Each persona has a rich character definition: name, niche, bio, voice and tone description, and visual style notes. The detail view shows all metadata alongside the reference image gallery. Personas are assigned URL-safe slugs automatically from their name, updated if the name changes. Archive moves a persona out of the active workspace without deleting history.
Upload reference images (JPG, PNG, WebP up to 10MB) for any persona. Each upload is stored in object storage and enters a review queue with a "pending" status. Approving a reference triggers face embedding computation via the computer vision service. All approved embeddings are averaged into a single canonical embedding vector for the persona. Rejecting a reference recomputes the canonical from the remaining approved set.
Every persona moves through a defined lifecycle. Status transitions are manual and reflect the real-world state of the character's deployment.
Define characters, upload references, build canonical face embeddings, and manage every persona through its full lifecycle.
Launch HunterRoseRequires a MelTuc account. Create one free.