---
phase: 03-resource-management
plan: 04
subsystem: resource-management
tags: [personality, communication, resource-optimization, model-management]

# Dependency graph
requires:
  - phase: 03-resource-management
    provides: Resource monitoring, proactive scaling, hardware tier detection
provides:
  - Personality-driven resource communication system
  - Model switching notifications with engaging dere-tsun gremlin persona
  - Optional technical tips for resource optimization
affects: [04-memory-context, 05-conversation-engine, 09-personality-system]

# Tech tracking
tech-stack:
  added: [ResourcePersonality class, personality-aware model switching]
  patterns: [Personality-driven communication, degradation-only notifications, optional technical tips]

key-files:
  created: [src/resource/personality.py]
  modified: [src/models/model_manager.py]

key-decisions:
  - "Use Drowsy Dere-Tsun Onee-san Hex-Mentor Gremlin persona for engaging resource communication"
  - "Notify users only about capability downgrades, not upgrades (per CONTEXT.md requirements)"
  - "Include optional technical tips for resource optimization without being intrusive"
  - "Personality enhances rather than distracts from resource management"

patterns-established:
  - "Pattern: Personality-driven communication with mood-based message generation"
  - "Pattern: Capability-aware notification system (degradation vs upgrade)"
  - "Pattern: Optional technical tips with hexadecimal/coding references"
  - "Pattern: Personality state management with mood transitions"

# Metrics
duration: 14min
completed: 2026-01-28
---

# Phase 3: Resource Management - Plan 4 Summary

**Personality-driven resource communication with dere-tsun gremlin persona, degradation-only notifications, and optional technical tips for enhanced user experience**

## Performance

- **Duration:** 14 minutes
- **Started:** 2026-01-27T23:51:45Z
- **Completed:** 2026-01-28T00:05:38Z
- **Tasks:** 2
- **Files modified:** 2

## Accomplishments

- **ResourcePersonality System**: Implemented "Drowsy Dere-Tsun Onee-san Hex-Mentor Gremlin" personality with mood-based communication, multiple personality vocabularies, and technical tip generation
- **ModelManager Integration**: Enhanced ModelManager with personality-aware model switching that notifies users only about capability downgrades, not upgrades, per requirements
- **Engaging Resource Communication**: Created personality-driven messages that enhance rather than distract from resource management experience

## Task Commits

Each task was committed atomically:

1. **Task 1: Implement ResourcePersonality system** - `dd3a75f` (feat)
2. **Task 2: Integrate personality with model management** - `1c97645` (feat)

**Plan metadata:** (to be committed after summary)

## Files Created/Modified

- `src/resource/personality.py` - Complete personality system with Drowsy Dere-Tsun Onee-san Hex-Mentor Gremlin persona, mood states, message generation, and technical tips
- `src/models/model_manager.py` - Enhanced with personality-aware model switching, degradation-only notifications, and integration with ResourcePersonality system

## Decisions Made

- **Personality Selection**: Chose complex "Drowsy Dere-Tsun Onee-san Hex-Mentor Gremlin" persona combining sleepy, tsundere, mentoring, and resource-hungry aspects for engaging communication
- **Notification Strategy**: Implemented degradation-only notifications (users informed about capability downgrades, not upgrades) per CONTEXT.md requirements
- **Technical Tips**: Included optional optimization tips with hexadecimal/coding references for users interested in technical details
- **Integration Approach**: Added personality_aware_model_switch() method to ModelManager for graceful degradation notifications while maintaining silent upgrades

## Deviations from Plan

None - plan executed exactly as written.

## Issues Encountered

None - all components implemented and verified successfully.

## User Setup Required

None - no external service configuration required.

## Next Phase Readiness

- ResourcePersonality system fully implemented and integrated with ModelManager
- Model switching notifications are engaging and informative with personality-driven communication
- Technical tips available but not intrusive for resource optimization guidance
- Ready for Phase 4: Memory & Context Management

---
*Phase: 03-resource-management*
*Completed: 2026-01-28*