Arctale Help

AI, Context, and Story Quality

Learn how Arctale work-owned AI generation uses reviewed recipes and runtime context, and what to do when story output drifts or repeats.

How are AI story responses generated?

A work sends input shaped by its reviewed recipe and current runtime state to a controlled backend. The backend authorizes the request, invokes the model provider, records usage, and settles credits.

How can readers reduce repetition?

Use the work's available controls and write concrete actions when free input is supported. Each work can manage its own context, summaries, visible history, and checkpoints.