AI workflow study / 互动研究
Content Review.
A focused content review workflow for clearer interface labels, useful error messages and meaningful confirmations.
有意图的工作流
Make every label earn its place.
理解输入。给出有用的建议。把最终决定交给评审者。
背景
一个聚焦的任务。
一个有用的下一步。
Interface copy often gets written at the end, even though it tells people what will happen next. This study explores a small review assistant that checks example labels and recovery states, then proposes concrete changes that an editor can approve.
Workflow design & interactive prototype
以互动工作流原型的形式构建。演示使用预先定义的示例响应，不连接 AI 模型或真实业务系统。
See the system
think in steps.
Choose a workflow, inspect the sample input and review the proposed output. You make the final call.
Review example interface copy for clearer actions and feedback.
Save button: Submit · Form error: Invalid input · Success message: Done. The example user is updating their contact details.
- 01Read the example interface
- 02Check labels and recovery states
- 03Draft clearer alternatives
Your review workspace.
Run the example to reveal the proposed changes.
This browser simulation demonstrates the workflow and interface. Its sample responses are predefined; it does not call an AI model, access a store or publish changes.
工作内部
围绕决策
而设计。
- 01
A content review scenario covering action labels, field errors and success messages.
- 02
A three-step sequence that keeps the review task and progress in view.
- 03
Actionable suggested edits presented in a readable output panel.
- 04
Approval and reset states with accessible announcements and a clearly labelled simulation.
工具与技术