AI workflow study / Étude interactive
Content Review.
A focused content review workflow for clearer interface labels, useful error messages and meaningful confirmations.
Un workflow, avec intention
Make every label earn its place.
Comprendre l'entrée. Faire une proposition utile. Laisser la décision finale au relecteur.
Le contexte
Une tâche ciblée.
Une prochaine étape utile.
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
Construit comme un prototype de workflow interactif. La démonstration utilise des réponses d'exemple prédéfinies et ne se connecte ni à un modèle IA ni à un système métier en production.
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.
Dans le travail
Pensé autour de
la décision.
- 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.
Outils et technologies