AI Video Production Workspace

From Intent to Video

Vitent is an AI video production workspace that turns scripts, storyboards, assets, shot generation, review, and team collaboration into a structured workflow for repeatable content delivery.

Built for teams moving from isolated AI clips to continuous video production.

Concept preview. Vitent is currently in a private design partner phase.

vitent.ai/workspace
Intent Brief Ready
Script Ready
Storyboard In Progress
Shot Queue Queued
Review Pending
Director Agent Active
Production Timeline Active
Text Storyboard Generating Review Ready
DA

Next: review 3 shots with low consistency

An AI video production workspace for teams that need continuity, control, and delivery

Vitent organizes the work around a video, not just the prompt that generates a clip. Teams can structure intent, scripts, assets, shots, model runs, reviews, and iterations in one production flow.

01

Structured Production State

Break down briefs, scripts, characters, scenes, storyboards, shot tasks, generated outputs, and review notes into trackable production objects.

02

Director-Aware Agent

The agent reads project context, identifies production risks, and suggests the next best action across shots, assets, and reviews.

03

Visible Path from Draft to Delivery

Track placeholders, storyboards, keyframes, generated clips, version history, and approval status on the same production timeline.

04

Reusable Assets and Consistency

Preserve characters, scenes, brand rules, subtitle styles, and feedback patterns so the next episode, SKU, or campaign starts with context.

From frame zero, every step has a state

Vitent turns creative intent into a production sequence that teams can plan, generate, review, and improve over time.

Draft

Intent / Brief

Creative direction, business goals, audience, and delivery requirements.

Ready

Script

Narrative structure, dialogue, scene logic, and production constraints.

In Progress

Storyboard

Shot planning, characters, scenes, camera language, and visual references.

Queued

Shot Tasks

Model selection, generation queue, prompt context, and shot dependencies.

Generating

Generate

Multi-model generation, retries, version history, and output comparison.

Needs Review

Review

Quality checks, feedback, consistency risks, and required revisions.

Approved

Deliver

Approved clips, previews, final exports, and reusable production memory.