How to Design a Production-Grade AI Portfolio Video Generator from Scratch

Building an AI-powered video generator from a user's résumé or portfolio document involves far more than chaining a few API calls — it requires a distributed media-processing pipeline spanning document parsing, script generation, image synthesis, text-to-speech, avatar animation, and video encoding. A key architectural principle is treating the entire process as a workflow engine or state machine, where each stage — from text extraction to final export — can fail and recover independently. Assigning granular status fields at both the project and scene levels allows the frontend to display meaningful progress and enables failed jobs to resume from the last successful checkpoint. The approach is designed to be provider-agnostic, supporting interchangeable language models, voice engines, image generators, and video APIs. Careful state management also prevents costly regeneration of assets and helps operators pinpoint which processing step or third-party provider is causing failures.