Operator overview

Welcome, operator. You’re using JARAI Studio Console to produce content, manage configuration, and oversee deliveries to your customers.

Operator overview

Prefer to read? Open the step-by-step transcript

Your day-to-day in the Studio Console:

Set up avatars (face + voice) you’ll reuse across productions.
Create a production — pick a project type, theme, and avatar(s); JARAI runs the pipeline.
Review the result on the production detail page; approve to publish.
Connect channels once, then approved content distributes automatically.
Track cost, quality, and performance on the dashboards.

Jump-off points are below.

Where to start

First production walkthrough Step-by-step: create your first Production Brief, watch it run through the pipeline, and download the result.

Production pipeline (Steps 1–15) What each pipeline step does, what it consumes, and what it produces.

Common tasks

Managing avatars

Add new avatars, configure their voice variants, set production preferences, and assign them to recurring schedules. Read more →

Voice variants

Browse the voice variant catalogue across all TTS providers (ElevenLabs, OpenAI, Azure, AWS Polly, etc.), generate samples, and request new accents. Read more →

Distribution and publishing

Configure which platforms (TikTok, LinkedIn, YouTube, podcast feeds, etc.) each production ships to. Read more →

Billing and usage

Subscription tiers, token allowances, usage banners, top-up purchases. Read more →

Account settings & policies

Configure an account — budget, concurrency, execution mode, pipeline loops — and the per-account policies that govern media sourcing, disclosure and compliance. Read more →

Import existing content

Bring content you already have into JARAI and distribute it without running the full pipeline. Read more →

Prompt optimisation

Review AI-drafted improvements to your prompt templates and approve or reject them. Read more →

Talks queue

Queue two-avatar debate productions for accounts in Talks mode. Read more →

When something goes wrong

Troubleshooting → covers the failure modes you’ll encounter most often — step failures, missing assets, dead-lettered messages, AI provider outages, and how to retry or override.