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Tiny Tales Videos

Personalised animated storytelling for children. Generative video pipelines, parent-safe workflows, and infrastructure tuned for viral traffic and repeat renders.

AI VideoGenerative MediaConsumer ScaleFamily Tech

The problem

The client needed a content system that could generate personalised animated story videos for children, with the child's own face and name woven into the narrative, at scale, driven entirely by parent prompts. Off-the-shelf tools either lacked identity preservation or couldn't survive viral traffic spikes without collapsing margin.

What we built

Tiny Tales targets families who want bespoke animated stories without a production studio budget. The product couples prompt-style personalization with a constrained creative pipeline so outputs stay age-appropriate and on-brand.

Technically, the hardest problems are render throughput and cost control when campaigns spike. Viral curves expose naive queueing fast. We optimized for parallelized generation, caching of reusable assets, and graceful degradation when providers throttle.

On the experience side, parents need clarity on what will be generated, how long it takes, and how to iterate safely. We built flows that separate preview, confirm, and paid render so trust stays high and chargebacks stay low.

The result

  • Prompt-to-finished-video pipeline shipped end-to-end in under 6 weeks
  • Async generation queue handles traffic spikes without manual intervention
  • Preview → confirm → paid render flow cut chargeback risk to near zero

Tech stack

AI / ML
Stable DiffusionIP-Adapter (face insertion)GPT-4ElevenLabs
Video
FFmpegScene assembly pipeline
Frontend
Next.jsTailwind CSS
Infrastructure
AWSAsync job queueProvider fallbacks

Engineering & product focus

  • Personalization layer tuned for child-safe narratives and repeatable visual motifs

  • Async generation pipeline with resilience under traffic spikes

  • Separation of preview vs final render for predictable billing

  • Operational hooks for monitoring failures and provider fallbacks