Agent Reflection & Learning

Design a responsible AI decision interface similar to LinkedIn's AI-powered recommendations or Microsoft's Responsible AI dashboard. Show an AI recommendation card with transparency layers. Include: main decision/recommendation display, expandable 'How this was decided' section showing key factors with visual weights, bias detection indicator (color-coded badge), data source attribution, user control panel with override and feedback buttons, and audit trail timeline. Style: Professional, trustworthy, high-contrast for accessibility. Use blues/greens for trust, clear typography, WCAG AAA compliant. Platform: Web application, responsive design.

Design an error recovery interface inspired by ChatGPT's 'at capacity' error, GitHub Copilot's offline state, or Grammarly's error handling. Show a friendly error state with clear recovery paths. Include: (1) Prominent but non-alarming error message with warm-colored icon (amber/yellow for capacity/service issues), (2) Plain-language explanation of what happened and why, (3) 'Your work is saved' indicator with green checkmark to reduce user anxiety, (4) 2-3 recovery action buttons clearly labeled (e.g., 'Try Again', 'Wait in Queue', 'Use Offline Mode'), (5) Optional: Queue position counter or estimated wait time, (6) Tip or note about premium/priority access if applicable. Style: Calm, transparent, solution-focused. Use amber/yellow for warnings, green for saved state indicators, black/dark buttons for primary actions. Avoid red unless it's a critical system failure. Platform: Modern web application, responsive design.

Design a safe exploration interface similar to Figma's branching or Google Docs version history, allowing users to experiment without risk. Show a sandbox environment with safety indicators. Include: main workspace with clear 'Safe Mode' or 'Sandbox' indicator badge, preview area showing results of experimental actions, undo/redo controls prominently displayed, 'Save to Real' or 'Apply Changes' button (disabled by default), comparison view showing before/after or current vs experimental, and safety guardrails (warnings for risky actions, confirmation dialogs). Style: Playful yet safe. Use sandbox/lab imagery, clear boundaries between safe/live areas. Green for safe zone, amber for boundary warnings. Platform: Web application, responsive.