We've observed that documents created by Rovo AI agents can vary significantly when the same agent is used multiple times. While some level of variation is expected due to the nature of generative AI, greater consistency would improve the reliability of the output, especially for teams looking to standardize documentation or replicate processes efficiently.

This inconsistency can lead to confusion, additional manual review, and extra effort to align multiple outputs. We suggest exploring ways to reduce variation when prompts are reused, perhaps by introducing configurable options for consistency levels or allowing users to "lock in" a structure or tone for certain document types.