Air vs Beautiful.ai

Canvas has become the centre of the product. In the last three weeks it gained an agent that edits existing video rather than only generating new clips, two additional video models, the ability to save any completed workflow as a reusable skill, @ mentions that pull in board assets alongside Brand Kit colours, fonts and logos, and now in-image text translation across 33 languages. The library side kept moving too, with manual person tagging where facial recognition falls short, current-version share links, frame-level timeline zoom, and a batch of video features covering burned-in captions, transcript editing and sub-clipping.

Air is converting a digital asset manager into a place where assets are produced and adapted, not just stored and approved. The skills feature is the pivot point: it turns one-off agent instructions into named, repeatable operations, which is how a creative team's conventions become part of the tool. Brand Kit entering the @ mention namespace points the same way — the agent is being given the brand's own vocabulary as addressable material, so generated work starts from house colours and logos rather than a generic prompt.

Expect skills to gain sharing or workspace-level scope, since a saved workflow is far more valuable to a team than to the person who recorded it. The translation and captioning work together suggests localisation is being assembled as a workflow rather than left as isolated features.