62 lines
1.7 KiB
Markdown
62 lines
1.7 KiB
Markdown
# Goalie Integration - Goal-Oriented AI Learning Engine
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## Overview
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Hierarchical goal decomposition with achievement trees, tracking progress from high-level objectives to actionable subgoals.
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## Purpose
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Model how AI agents can break down complex goals into manageable subgoals and track achievement progress.
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## Operations
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- **Primary Goals**: 3 high-level objectives
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- **Subgoals**: 9 decomposed tasks (3 per goal)
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- **Achievements**: 3 completed subgoals
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- **Causal Links**: Subgoal → Parent goal dependencies
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## Results
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- **Throughput**: 2.23 ops/sec
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- **Latency**: 437ms avg
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- **Primary Goals**: 3
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- **Subgoals**: 9
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- **Achievements**: 3
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- **Avg Progress**: 33.3%
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## Technical Details
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### Goal Hierarchy
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```
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Primary: build_production_system (priority: 0.95)
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├── Subgoal: setup_ci_cd ✅
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├── Subgoal: implement_logging
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└── Subgoal: add_monitoring
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Primary: achieve_90_percent_test_coverage (priority: 0.88)
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├── Subgoal: write_unit_tests ✅
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├── Subgoal: write_integration_tests
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└── Subgoal: add_e2e_tests
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Primary: optimize_performance_10x (priority: 0.92)
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├── Subgoal: profile_bottlenecks ✅
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├── Subgoal: optimize_queries
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└── Subgoal: add_caching
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```
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### Achievement Tracking
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```typescript
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achievement: 'setup_ci_cd'
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successRate: 1.0 // 100% completed
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```
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## Applications
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- **Project Management AI**: Task decomposition
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- **Game AI**: Quest/objective systems
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- **Robotics**: Multi-step task planning
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- **Personal Assistants**: Goal tracking
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## Features
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- Hierarchical goal decomposition
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- Progress monitoring
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- Dependency tracking (causal edges)
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- Achievement unlocking
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**Status**: ✅ Operational | **Package**: goalie
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