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Case studyANIMY

ANIMY

A prompt-driven video generator: describe a scene, get a rendered video.

1.0

What it is

A web platform that turns a text prompt into a rendered video. It is split into three services: a React frontend, an API backend, and a separate render backend that does the heavy lifting.

2.0

Why I built it

I wanted to build a real generative-AI product end to end, not just a demo. That meant dealing with long-running render jobs and keeping the interface responsive while they run.

3.0

How it works

The render backend processes jobs across four parallel threads, which pushed throughput to roughly ten videos per hour. I evaluated two real-time update strategies for streaming progress to the client and dropped WebSockets after weighing the architectural cost against a simpler approach.

4.0

Result

A working three-service pipeline with measurably higher render throughput, and a sharper instinct for when added complexity is not worth it.