Case study 06
Movium
AI-assisted motion graphics with validation, preview, and async rendering.
AI + Remotion
Motion graphics system
- Client
- Independent product
- Duration
- Active product
- Role
- Solo end-to-end product engineer
How it works
Situation
Motion graphics can be slow to produce when teams need repeatable data-driven videos, branded updates, or structured visual explanations.
Build
I built an AI-assisted motion platform that separates prompt generation, code validation, preview, rendering, private storage, and sharing into a controlled product flow.
Result
Movium is useful proof for AI product engineering, LLM-to-code workflows, queue-based systems, and generated-code validation around video rendering.
Key decisions
- Separated interactive API traffic from LLM and render workloads with queues.
- Validated generated code before it reaches preview or rendering paths.
- Kept private media storage and share access behind controlled product boundaries.
- Designed the product around repeatable data-backed motion, not generic prompt output.
Tools used
FastifytRPCReactPostgreSQLRedisBullMQRemotionLLM APIs
My role
ProductBackendWorkersEditorValidationRender pipeline
Exploring something similar?
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