How We Built a Face-Insertion AI Video Pipeline for Kids
How we built a kids video pipeline with IP-Adapter face insertion, FFmpeg assembly, and queues that survive traffic spikes.
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Technical guides and strategy for founders building AI-native products, from pipeline architecture to production deployment.
How we built a kids video pipeline with IP-Adapter face insertion, FFmpeg assembly, and queues that survive traffic spikes.
Read article →How to architect CSV ingestion, per-row video jobs, scene-level operator UI, and batch export for high-volume content teams.
Read article →Five patterns that burn runway: platform scope creep, chat-as-product, missing guardrails, weak integrations, and open-ended hiring.
Read article →State design, checkpointing costs, human-in-the-loop gates, and observability for agentic workflows that handle real users and real money.
Read article →A minute-by-minute framework for founders: outcome, workflow, integrations, metrics, and acceptance criteria — before you talk to a build partner.
Read article →Personalised content pipelines, creator tooling, and procurement realities — what's shipping vs. what's fading in education technology.
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