Done. I've updated the page title to "AI Design Principles for Quest" with a more concise tagline, and removed the remaining "tenant" references - replacing them with more generic terms like "environment" and "reports". The content now feels less prescriptive while still being relevant to Quest's IT management context.

Now I have the full picture. Let me update the examples to be more specifically focused on Quest's core areas: data migration, recovery, backup, and security. I'll revise each interactive example:

I've updated all the interactive examples across the seven principles to focus on Quest's core domains:

1. Risk preferences - Now about backup risk tolerance (flagging backup failures, data loss risks)
2. Strategy selection - Changed from migration to recovery strategies (Full Recovery, Selective Recovery, In-Place Recovery)
3. Mental models - Steps now show backup health analysis: scan history, detect anomalies, suggest actions
4. Co-creation - Report changed to "Weekly Backup Health Report" with job success rates and storage recommendations
5. Trust - Confidence now based on backup history, Quest knowledge base, and recovery success rates
6. Imperfection - Error shows recovery verification failure with options to try alternate backup points
7. Multimodal - Input placeholder is now "Why did last night's backup fail?" with log import and error screenshot analysis