AI workflow study / Astudiaeth ryngweithiol
Content Review.
A focused content review workflow for clearer interface labels, useful error messages and meaningful confirmations.
Llif gwaith, gyda bwriad
Make every label earn its place.
Deallwch y mewnbwn. Gwnewch gynnig defnyddiol. Rhowch y penderfyniad terfynol i’r adolygydd.
Y cyd-destun
Tasg ffocysedig.
Cam nesaf defnyddiol.
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
Wedi’i adeiladu fel prototeip llif gwaith rhyngweithiol. Mae’r arddangosiad yn defnyddio ymatebion sampl wedi’u diffinio ymlaen llaw ac nid yw’n cysylltu â model AI nac â system fusnes fyw.
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.
Y tu mewn i’r gwaith
Wedi’i ddylunio o amgylch
y penderfyniad.
- 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.
Offer a thechnolegau