In Product Copy Review Assistant
We built this assistant to automatically review your software interface text for clarity, consistency, and brand alignment.
Possibilities
Where this could go
Automated Interface Copy Extraction And Mapping
The system pulls text strings directly from your design files or code repositories and maps them to their exact location in the interface.
- Connects directly to your design tools and code repositories
- Identifies text strings in buttons, menus, and tooltips
- Displays the surrounding visual context for each text string
- Flags duplicate or conflicting copy across different screens
Brand Voice And Tone Alignment
It evaluates the extracted copy against your custom brand guidelines to ensure consistent messaging.
- References Style Guides
- Checks Tone Consistency
- Enforces Grammar Rules
- Flags Off Brand Terms
Contextual Grammar And Readability Checks
We scan your interface copy to catch grammatical errors and ensure the reading level matches your target audience.
- Highlights spelling and grammar mistakes in your interface text
- Calculates a reading level score for longer paragraphs and tooltips
- Suggests simpler alternatives for complex technical jargon
- Checks for consistent capitalization in headers and buttons
Questions
Things people ask
How does the assistant connect to our existing design tools?
You can link the assistant directly to your design software using our native integrations. We currently support major platforms to pull in your mock-ups automatically. This ensures you review the copy exactly as it appears in the design.
Can we customize the grammar rules for our specific industry?
It integrates directly with standard platforms like GitHub, GitLab, and Bitbucket through their standard webhooks and APIs.
Can we customize the brand rules the assistant follows?
You can upload your specific brand guidelines, vocabulary lists, and tone requirements to configure the review logic.
Does the tool work with text stored in our code repositories?
Yes, we provide an API that connects to your code repositories. The assistant scans your localization files and hardcoded text strings to ensure everything matches your approved copy.
What language models power the copy analysis?
The system uses advanced models from OpenAI or Anthropic to understand the context and nuance of your product copy.
How does the tool handle localized text or multiple languages?
It primarily reviews your base language strings and can be configured to check localization files before they are sent for translation.
How do we handle copy that requires legal approval?
You can flag specific text strings or entire screens as requiring legal review. The system routes these items to a dedicated approval queue for your compliance team. Once approved, the text is locked to prevent accidental changes.
