Co-editing pattern is an extension of Augmentation aspect outlined in Automation or Augmentation. Co-editing workflow leverages AI for efficiency while allowing the human to maintain control over the creative process.

It is particularly beneficial in scenarios where users wish to retain artistic or strategic oversight while automating repetitive or time-consuming tasks. For example A user wants to create a presentation using AI Presentation Assitant.

AI's Role: The AI generates a draft presentation based on a prompt, such as "Create a 5-slide deck about sustainable living."

Human's Role: The user reviews the draft, edits the text, customizes the design elements (e.g., colors, fonts, or images), and rearranges slides to better match their intent.

Co-Editing Interaction: The AI suggests improvements in real-time, such as alternate slide layouts or better phrasing for the text. The user accepts or modifies these suggestions, refining the presentation collaboratively.