We built HeyVigo because AI video production was becoming tab management

AI can generate impressive video clips. But producing a complete video is still surprisingly messy.

A typical project involves scripts in one tool, reference images in another, video models across several platforms, feedback in chat, and final assets scattered across cloud folders. Add more people to the project and it becomes difficult to track versions, costs, ownership, and progress.

That’s the problem we’re working on with HeyVigo AI.

HeyVigo is an AI video production workspace that brings planning, generation, assets, collaboration, review, and delivery into one organized workflow.

Instead of treating every prompt as an isolated experiment, HeyVigo treats each video as a project.

You can:

Turn an idea or document into a script and multi-scene storyboard

Upload reference images, characters, products, and style materials

Generate images, voices, and video using multiple AI models

Keep characters, scenes, and visual direction consistent

Run generation tasks in parallel

Review, annotate, and request shot-level revisions with your team

Manage assets, credits, permissions, and delivery from one workspace

We’re building it for creators and teams producing short-form stories, advertising, e-commerce videos, branded content, educational material, and localized campaigns.

Why another AI video product?

Most AI tools focus on one moment: generating an image, a voice, or a clip.

Professional video production is a chain of decisions. A strong result depends on what happens before and after generation: planning the story, organizing references, maintaining continuity, comparing outputs, collecting feedback, revising individual shots, and preparing everything for delivery.

Prompts alone don’t manage that process.

Our goal is to make AI generation part of a repeatable production system, while still keeping people in control of the creative decisions.

That means shared project context instead of scattered prompts. Reusable assets instead of repeatedly uploading the same references. Structured reviews instead of feedback disappearing into chat threads.

What we’re exploring next

We’re especially interested in improving:

Character and scene consistency across multiple shots

Faster comparison of results from different models

Reusable workflows for recurring content

Clearer tracking of generation costs and team credits

Collaboration between creative, marketing, and production teams

The bigger question we’re trying to answer is:

What does a real video production workspace look like when AI becomes part of every stage?

HeyVigo is live at heyvigo.ai.

If you work with AI video, I’d love to hear where your current workflow breaks down. Is the biggest challenge generation quality, consistency, asset organization, collaboration, cost, or something else?