Nimbus vs Hive

The substance in this window sits in AI Proofing: suggestions can be promoted into standard annotations, reviewer feedback can be saved as reusable guidance, static image proofs are handled without manual conversion, and a new mode checks whether earlier human comments were actually addressed. Around that, Hive shipped small surface work such as a resizable Resourcing name panel, dark mode and a simplified new-tab control in Desktop, and an out-of-office banner in direct messages, plus Scratch Pad notes on shared dashboards and Slack posting from App Workflows.

AI Proofing is where the differentiation is going, and its role is widening from generating feedback to managing the review loop: promoting machine findings into the human annotation stream, learning house rules from reviewers, and checking prior rounds with evidence and a confidence rating. Everything else is steady maintenance across a broad suite, arriving as many small items per week rather than headline releases.

Expect the saved-guidance store and the verification mode to converge, so a later round can be checked against both prior comments and standing house rules. Slack posting from App Workflows arrived as a configurable template with custom-field tokens, which suggests more destinations for the same operation.