Anime Story AI Generator

Role: AI Engineer | Stack: LLM APIs, Prompt Templates, Session Memory

Built an AI story engine that generates episodic anime narratives with consistent character behavior and scene continuity. The product target was repeat engagement, not one-off prompt output.

Scope

Designed multi-step generation flow: world setup, episode outline, dialogue pass, and continuity check. Added session memory so previous events and character traits persist across episodes.

Architecture Snapshot

AI story generator pipeline from user prompt to prompt builder, LLM output and memory store. — Prompt orchestration pipeline with a memory loop for long-form narrative consistency.

Impact Metrics

+46% 7-Day Retention

-34% Manual Regenerations

+39% Session Length

Execution Notes

Introduced structured prompt templates, style guardrails, and memory scoring to control narrative drift. Output quality checks flagged contradictions before delivery, improving trust in multi-episode generation.