Send Ditto activity into your team's Slack workspace so you never miss an update.
Configure Slack notifications for edits within an individual project, or edits made to your Ditto Library. Get notifications for: Text edits, Status changes, Assignments, Comments, Linking, and Creating/Deleting.
Note: You'll need admin permissions to connect Ditto + Slack, but anyone with Editor access can turn on Slack notification for projects or for your Ditto Library.
Iterate and refine your AI content system, with built-in analytics and tools to give feedback to AI generation.
Style guide analytics surfaces usage data directly on your style guide rules. For each style guide in your Ditto workspace, you'll see:
This makes it possible to prove the effectiveness of the system you’ve built, while continuously sharpening it as it’s used.
Suggestion feedback lets you capture the why behind a rejection. For each suggestion Ditto generates, your team can now accept it with a thumbs up or reject it with a thumbs down along with adding a note on why. That feedback accumulates against the rule that triggered it — giving Ditto the raw material to refine guidance, update the context around a rule, or retire a rule that's no longer relevant.
Together, these features close the loop between writing down guidelines, and actually putting a content system to work.
Ditto Scan is a new CLI command that scans your codebase, identifies your user-facing strings, and sets up your content system for you — automatically, based on what's already in production.
Run a new Ditto CLI command in your codebase. Continue setup in the Ditto web app. In moments, Ditto has extracted strings, metadata, translations, and content style standards based on what made it to production. You can review these extractions to assemble a working V1 of your content system: a component library, style guides, translation management, and the metadata infrastructure to keep it all connected.