SheepAI is the workspace operators use to run a business built on AI personas — character design, visual training, generation, post production, scheduling, and publishing in one place. Built for the day a portfolio outgrows a stack of tabs.
SheepAI assumes you have a content business to run, and that the daily questions are operational — which character ships next, who approves it, when it goes out, what failed last night. The product is the workspace those questions get answered in.
Two or three personas can be managed by hand. A dozen cannot. SheepAI's per-persona structure, channel-level automation and shared review queues are what make a portfolio operationally sane.
A character designer builds personas. A producer drafts posts. A reviewer approves. A manager watches the pipeline. Each role gets the right surface and the right permissions — nobody is stepping on anyone else.
Custom-trained visual identity, locked appearance descriptors, persona-bound message style and per-channel content rules — output that stays on-brand without a human checking every frame.
Each post moves through a defined lifecycle — drafted, generated, reviewed, scheduled, published — visible on the post and sortable in the workspace list. When something fails at 3 a.m. there is one place to go that says what failed, why, when, and what to do about it.
SheepAI doesn't draw a hard line between "AI characters" and "real talent." Both live in the same persona record, both run through the same production pipeline, and both publish through the same channels — only the source of the reference material differs.
Pick a sex, a content tier, a handful of traits and archetypes. The wizard generates the appearance, the profile, the writing style and the first portrait — a shippable character in minutes, the only person responsible for her is the operator who built her.
For real talent, the persona is built from their own reference material. The same pipeline that gives a synthetic persona a consistent face gives a real creator a faithful digital double — used to augment what they ship, not replace what makes them them.
Every action the workspace performs hits the same surface you build on — the same routes, the same payloads, the same live signals. Schedulers, internal tools, custom integrations and analytics watch your content production happen in real time, not after the fact.
POST /v1/personas/mira-solene/posts
Authorization: Bearer tk_live_•••
Content-Type: application/json
{
"channel": "ig.main",
"template": "image_post",
"brief": "morning routine, two images, casual",
"schedule": "today 18:30 utc+1"
}
→ 202 accepted post · 8f2c·a1 draft
GET /v1/posts/8f2c·a1/events
Accept: text/event-stream
event: stage.changed
data: { "from": "draft", "to": "generating" }
event: generation.frame
data: { "shot": 1, "of": 4, "thumb": "data:…" }
event: generation.frame
data: { "shot": 2, "of": 4, "thumb": "data:…" }
event: stage.changed
data: { "from": "generating", "to": "review" }
POST https://yours.example/sheepai
X-SheepAI-Signature: v1,t=…,sig=…
{
"event": "post.published",
"post": "8f2c·a1",
"channel":"ig.main",
"url": "https://…",
"at": "2025-01-08T18:30:11Z"
}
Pull a draft into a CMS. Push a brief from a Slack command. Mirror the queue into Grafana. Stream a render into a producer's tablet. SheepAI is the production API your stack writes against — the workspace is just one of its clients.
Personas, channels, posts and the pipeline behind them — in a single workspace your team actually wants to spend its day inside.