Building a 9-Character AI Video Pipeline for Social Media: A Developer's Log

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A developer is building an automated video production pipeline that assigns a unique AI-generated character to each of nine news categories on a media platform. Each character — covering topics from science to archaeology — always appears with the same face and voice to build audience recognition across posts on X, Instagram, and YouTube. The pipeline runs from topic selection through image generation, scripted speech, video synthesis, and Whisper-based transcription quality checks before publishing. A key challenge discovered was that the AI video model rewrote or mispronounced Turkish technical terms, leading to strict rules such as limiting scripts to four short sentences, avoiding foreign-origin words, and placing keywords mid-sentence to prevent rushed delivery. The developer is also working to run the entire pipeline on Kaggle's free GPU tier, with memory management still unresolved and results to be shared in the next installment.

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