I’m building https://TaleTwister.com – an AI tool that generates and narrates bedtime stories based on a kid’s interests, a specific moral lesson, age, and optional specifications. The product was born out of necessity (a stint of bad behavior that comes with age).

It uses GPT-4 for story generation, ElevenLabs for narration, and a simple Next.js + Supabase stack for the app layer. I’m experimenting with story memory (so kids can revisit recurring characters) using vector embeddings, and building a “choose-your-own-adventure” mode with dynamic audio rendering.

Biggest challenge so far: aligning narration, ambient sounds, and story pacing without sounding janky or robotic. Solved it by tokenizing and chunking the story for synchronized audio stitching via ffmpeg.

Another challenge was the inconsistent image illustrations via Dall-E 3. I’ve adopted a dynamic prompting method that includes as many details about the scene, character details, and other visual elements which should remain consistent on each of the storybook pages.

If your kid ever demands “one more story” after a long day, I built this for you. It’s had a meaningful impact on my son’s behavior.