Technology

The system behind directed AI video.

AlphoGen is built as an orchestration layer for creators: planning, assets, validation, generation, and post-production working as one pipeline.

Scenes

10

Duration

120s

Flow

Studio

One brief becomes a structured production plan.

Prompt policy
Reference ownership
Plan and quota
Scene dispatch

Director-first planning

The workspace turns an idea into editable scenes, durations, reference roles, and readiness signals before generation.

Model orchestration

A private routing layer chooses the right generation capability for each workflow while keeping provider details out of the product surface.

Safety and ownership gates

Prompt policy, plan limits, asset ownership, reference validation, and quota checks run before any expensive generation begins.

Pipeline

Built to preserve intent from idea to output.

01

Brief

Prompt, platform, references, creator identity, product images, and saved looks are collected as structured intent.

02

Plan

AI Director builds a scene plan with readiness, cost, duration, and compatibility feedback that can be edited.

03

Generate

The backend validates the final payload, applies the right gates, then dispatches scenes through the generation pipeline.

04

Refine

The job studio supports scene review, social exports, references, duplication, and future saved-look reuse.

Private internals, clear creative controls.

Users see capabilities, readiness, cost, and model names that make product sense. Provider routing, credentials, and operational details remain behind the API boundary.

Capabilities

Multi-scene story planning
Reference image roles
Verified identity assets
UGC product planning
Saved-look foundations
Social export pack
Curated public gallery
Agent-ready MCP design

Ready for agent workflows.

The same pure helpers used by the product can power future MCP tools for validation, plan creation, UGC planning, job lookup, and safe execution through the internal API. The goal is one contract, shared by humans and agents.