Can the AI Assistant implement character limits in CC segments?

For organizations committed to accessibility, this would be a significant improvement!

Currently, authors must manually review, combine/split, and edit AI-generated captions to meet these standards. While AI accelerates content creation, the manual remediation required for captions can be substantial, especially across large course libraries. This time is better spent refining learning experiences, validating instructional intent, and improving learner impact rather than counting characters and adjusting line breaks.

Ideally, this could include:
• A configurable character-per-line limit (e.g., 32 characters)
• A maximum number of lines per caption segment
• Real-time warnings or visual indicators when captions exceed selected accessibility thresholds
• Optional presets aligned with recognized guidance such as DCMP

Features like this shift accessibility from a reactive quality check to a built-in design practice, allowing learning teams to focus their time and expertise where it matters most: creating meaningful learning experiences that drive performance and impact.