Many AI tools still force users to move between separate interfaces for documents, spreadsheets, screenshots, images and code. That fragmentation is expensive. It creates context loss, review friction and manual copying between systems that should talk to each other.
Multimodal workbenches point toward a better structure. They keep evidence, generation, transformation and review inside one continuous space. That makes them more compatible with agent behavior too, because the model can see the same working surface the human sees.
Why this is more than a UX improvement
Once a product becomes a unified workbench, it can also become a system of record for how AI-assisted work gets done. That gives product teams a way to improve collaboration, transparency and governance at the same time.