Recovery Design Toolkit
Practical patterns and implementation guidance to improve reversibility in your AI systems
Turn your RI assessment results into actionable improvements with proven design patterns and implementation strategies.
What’s Your Situation?
Something’s Broken
Users are stuck, systems are failing, or you need immediate fixes for critical reversibility issues.
Emergency Fixes→Planning Improvements
You have assessment results and want to systematically improve reversibility across domains.
View Assessment Results→Building Something New
You’re designing a new AI system and want to build in reversibility from the start.
Explore Framework→5-Minute Fixes
Add Clear Exit Options
Ensure users can easily stop, cancel, or exit AI interactions at any point.
View Pattern→Improve User Control
Give users control over AI suggestions, recommendations, and automated actions.
View Pattern→Add Recovery Options
Provide ways for users to recover from AI errors and unwanted outcomes.
View Pattern→Browse Toolkit Patterns by Domain
User Control
Enable user agency over AI interactions
Haven’t Assessed Your System Yet?
Get specific recommendations based on your AI system’s current reversibility score across all 10 core domains.