# Ralph Epic #26: Practical Examples

**Version**: 1.0.0
**Date**: 2026-02-03
**Epic**: [#26](https://git.integrolabs.net/roctinam/ai-writing-guide/issues/26)

---

## Overview

This document shows the Epic #26 four-layer intelligence system in action through realistic scenarios. Each example demonstrates how PID Control, Claude Intelligence, Memory, and Overseer layers work together to provide adaptive, self-managing loop behavior.

**Layer Quick Reference**:
- **Layer 1 (PID)**: Metrics + control signals + alarms
- **Layer 2 (Intelligence)**: Strategy + validation + dynamic prompts
- **Layer 3 (Memory)**: Cross-loop learning + knowledge retrieval
- **Layer 4 (Overseer)**: Health monitoring + intervention + escalation

---

## Example 1: Fixing Failing Tests

**Scenario**: 5 authentication tests failing after a refactor. Ralph loop should identify root cause, fix code, and verify all tests pass.

### Configuration

```javascript
await orchestrator.execute({
  objective: "Fix failing authentication tests",
  completionCriteria: "All tests in test/auth/** pass",
  maxIterations: 10,
  budgetPerIteration: 2.0,

  // Standard profile - balanced for typical bug fixes
  enablePIDControl: true,
  pidConfig: {
    initialProfile: 'standard',
    adaptiveGains: true,
  },

  // Validation: Run tests post-iteration
  validation: {
    postIteration: {
      checkTests: true,
      testPattern: 'test/auth/**',
    },
  },

  // Full oversight
  enableOverseer: true,
  enableSemanticMemory: true,
});
```

### Iteration 1: Initial Assessment

**Layer 1 - PID Control**:
```yaml
metrics:
  proportional: 1.0       # 0% complete (5 tests failing)
  integral: 0.0           # No accumulated error yet
  derivative: 0.0         # No trend yet

gains:
  profile: exploration    # Early phase: low gains
  kp: 0.3
  ki: 0.1
  kd: 0.2

control_signal: 0.3       # Low urgency early on
alarm_status: NORMAL
```

**Layer 2 - Claude Intelligence**:
```yaml
state_assessment:
  estimated_progress: 0%
  phase: initial_investigation
  blockers:
    - "5 tests failing: test_token_validation, test_password_hash, ..."

strategy:
  approach: investigate
  reasoning: "First iteration - need to understand test failures"
  priorities:
    - "Read test output and identify failure patterns"
    - "Check test files for common cause"
    - "Review recent refactor changes"

prompt_generated:
  urgency: normal
  focus_areas:
    - "Analyze test failure messages"
    - "Locate authentication module changes"
    - "Identify root cause"
  tool_suggestions: [Bash, Grep, Read]
```

**Layer 3 - Memory**:
```yaml
retrieved_knowledge:
  strategies:
    - type: strategy
      content: "For test fixes, start with test file to understand expectations"
      confidence: 0.85
      success_rate: 0.80
      source_loops: [ralph-005, ralph-012]

  antipatterns:
    - type: antipattern
      content: "Don't modify tests to pass - fix the code being tested"
      confidence: 0.95

  estimates:
    - type: estimate
      content: "Test fixes typically take 2-3 iterations"
      confidence: 0.70
```

**Layer 4 - Overseer**:
```yaml
health_check:
  status: healthy
  detections: []
  interventions: []
  message: "Loop started, monitoring for pathologies"
```

**Iteration 1 Output**:
Claude analyzes test output, identifies that token validation is failing because the refactor changed the token signing algorithm but tests still expect the old format.

---

### Iteration 2: First Fix Attempt

**Layer 1 - PID Control**:
```yaml
metrics:
  proportional: 0.8       # 20% complete (4/5 tests now pass)
  integral: 1.8           # Accumulated: 1.0 + 0.8
  derivative: -0.2        # Improving (was 1.0, now 0.8)

gains:
  profile: focused        # Phase advanced, use focused gains
  kp: 0.5
  ki: 0.2
  kd: 0.3

control_signal: 0.54      # (0.5×0.8) + (0.2×1.8) + (0.3×-0.2) = 0.54
alarm_status: NORMAL
trend: improving
```

**Layer 2 - Claude Intelligence**:
```yaml
state_assessment:
  estimated_progress: 20%
  phase: iterative_fixing
  blockers:
    - "1 test still failing: test_password_hash"

strategy:
  approach: persist
  reasoning: "Making good progress (1 of 5 fixed), continue current approach"
  priorities:
    - "Fix remaining test_password_hash failure"
    - "Verify no regressions in passing tests"

validation:
  post_iteration:
    tests_run: 5
    tests_passed: 4
    tests_failed: 1
    regression_detected: false
```

**Layer 4 - Overseer**:
```yaml
health_check:
  status: healthy
  detections: []
  interventions:
    - level: LOG
      message: "Positive progress: 4/5 tests passing (+1 from last iteration)"
```

**Iteration 2 Output**:
Claude fixes the token validation issue. Now 4 tests pass, but `test_password_hash` still fails due to unrelated bcrypt salt issue.

---

### Iteration 3: Addressing Edge Case

**Layer 1 - PID Control**:
```yaml
metrics:
  proportional: 0.6       # 40% complete (now addressing password hash)
  integral: 2.3           # Accumulated: 1.8 + 0.5 (decay applied)
  derivative: -0.2        # Still improving

gains:
  profile: focused
  kp: 0.5
  ki: 0.2
  kd: 0.3

control_signal: 0.61
alarm_status: NORMAL
```

**Layer 2 - Validation**:
```yaml
pre_iteration_validation:
  passed: true
  issues: []

post_iteration_validation:
  tests_run: 5
  tests_passed: 5
  tests_failed: 0
  regression_detected: false
  severity: ok
```

**Layer 3 - Memory**:
```yaml
learning_extracted:
  - type: strategy
    task_type: test-fix
    content:
      approach: "Start with test output, trace to root cause in implementation"
      tool_sequence: [Bash, Grep, Read, Edit, Bash]
      iterations_taken: 3
    confidence: 0.85

  - type: convention
    task_type: general
    content: "Authentication tests require bcrypt salt rounds to be deterministic"
    confidence: 0.90
```

**Layer 4 - Overseer**:
```yaml
health_check:
  status: excellent
  detections: []
  interventions:
    - level: LOG
      message: "All tests passing - completion detected"

  completion_detected: true
```

**Iteration 3 Output**:
Claude fixes bcrypt salt configuration. All 5 tests now pass.

---

### Loop Completion Summary

**PID Trajectory**:
```
Iteration | P     | I    | D     | Control | Alarm
----------|-------|------|-------|---------|-------
1         | 1.0   | 0.0  | 0.0   | 0.30    | NORMAL
2         | 0.8   | 1.8  | -0.2  | 0.54    | NORMAL
3         | 0.6   | 2.3  | -0.2  | 0.61    | NORMAL
```

**Memory Promoted**:
- Strategy: "Test-first debugging for auth failures" (confidence: 0.85)
- Convention: "Bcrypt salt must be deterministic in tests" (confidence: 0.90)

**Outcome**:
- ✓ All tests passing
- ✓ 3 iterations (within estimate)
- ✓ No interventions required
- ✓ Knowledge learned and stored for future loops

---

## Example 2: TypeScript Migration (Incremental Progress)

**Scenario**: Migrate 20 JavaScript files to TypeScript. Expect many iterations with steady, incremental progress.

### Configuration

```javascript
await orchestrator.execute({
  objective: "Migrate src/ JavaScript files to TypeScript",
  completionCriteria: "All .js files converted to .ts, build passes, tests pass",
  maxIterations: 15,
  budgetPerIteration: 3.0,

  // Cautious profile for refactoring
  pidConfig: {
    initialProfile: 'cautious',
    adaptiveGains: true,
    transitionSmoothing: 0.4,  // Smooth gain changes
  },

  validation: {
    postIteration: {
      checkBuild: true,
      checkTests: true,
    },
  },

  enableOverseer: true,
  overseer: {
    stuckThreshold: 4,  // Higher tolerance for incremental work
  },
});
```

### Iteration 1-3: Early Progress

**Layer 1 - PID Control** (Iteration 3):
```yaml
metrics:
  proportional: 0.85      # 15% complete (3/20 files converted)
  integral: 2.7
  derivative: -0.05       # Slow but steady improvement

gains:
  profile: cautious       # Maintained for refactoring safety
  kp: 0.2
  ki: 0.02
  kd: 0.5

control_signal: 0.34      # Low urgency - incremental work expected
```

**Layer 3 - Memory**:
```yaml
retrieved_knowledge:
  strategies:
    - "Migrate one file at a time to avoid breaking changes"
    - "Start with leaf modules (no dependencies)"
    - "Add types incrementally, start with 'any' if needed"
```

**Progress**: 3 files converted, build and tests passing each iteration.

---

### Iteration 7-9: Mid-Progress (Plateau Detection)

**Layer 1 - PID Control** (Iteration 9):
```yaml
metrics:
  proportional: 0.6       # 40% complete (8/20 files)
  integral: 5.1
  derivative: -0.02       # Slowing down (was -0.05)

gains:
  profile: focused        # Adapted from cautious
  kp: 0.5                 # Increased to push through plateau
  ki: 0.15
  kd: 0.25

control_signal: 0.62
alarm_status: CAUTION
alarm_details:
  - type: stagnation
    message: "Progress rate slowing (was 15%, now 10% per iteration)"
```

**Layer 2 - Strategy**:
```yaml
strategy:
  approach: persist_with_adjustment
  reasoning: "Progress slowing but still moving forward - adjust priorities"
  adjustments:
    - "Focus on simpler files first to maintain momentum"
    - "Defer complex circular dependencies to later"
```

**Layer 4 - Overseer**:
```yaml
health_check:
  status: healthy_with_warning
  detections:
    - type: slowdown
      severity: low
      message: "Progress rate decreased but still positive"
  interventions:
    - level: WARN
      message: "Consider simplifying next steps to maintain velocity"
```

**Progress**: 8 files converted. Complexity increasing as easier files are done.

---

### Iteration 10-12: Recovery and Acceleration

**Layer 2 - Strategy** (Iteration 10):
```yaml
strategy:
  approach: pivot
  reasoning: "Adopt new strategy to address complex dependencies"
  new_priorities:
    - "Create shared types file first"
    - "Then convert files that depend on shared types"
    - "Use top-down approach instead of bottom-up"
```

**Layer 1 - PID Control** (Iteration 12):
```yaml
metrics:
  proportional: 0.35      # 65% complete (13/20 files)
  integral: 4.8           # Decreased due to decay
  derivative: -0.15       # Accelerated again (good strategy change)

gains:
  profile: focused
  kp: 0.5
  ki: 0.15
  kd: 0.25

control_signal: 0.52
alarm_status: NORMAL     # Back to normal
```

**Progress**: Strategy pivot worked. Velocity increased.

---

### Iteration 13-15: Final Push

**Layer 1 - PID Control** (Iteration 15):
```yaml
metrics:
  proportional: 0.0       # 100% complete
  integral: 0.5
  derivative: -0.35       # Strong final velocity

gains:
  profile: cautious       # Returned to cautious near completion
  kp: 0.2
  ki: 0.02
  kd: 0.5

control_signal: 0.03      # Near zero - completion
```

**Layer 3 - Memory Promotion**:
```yaml
learnings_promoted:
  - type: strategy
    content: "For TypeScript migration: create shared types first, then convert dependents"
    confidence: 0.90
    iterations_taken: 15

  - type: estimate
    content: "TypeScript migration: ~0.75 iterations per file"
    confidence: 0.85
    source_loops: [ralph-current]
```

**Outcome**:
- ✓ All 20 files converted
- ✓ Build passing, tests passing
- ✓ 15 iterations (good match to estimate)
- ✓ PID adapted through plateau successfully
- ✓ Memory captured successful pivot strategy

---

## Example 3: Security Vulnerability Fix (Conservative Mode)

**Scenario**: OWASP vulnerability detected in authentication module. High-stakes task requiring strict oversight.

### Configuration

```javascript
await orchestrator.execute({
  objective: "Fix OWASP A02:2021 crypto failure in auth module",
  completionCriteria: "Security scan passes, all tests pass, no new vulnerabilities",
  maxIterations: 8,
  budgetPerIteration: 3.0,

  // Conservative mode for security
  pidConfig: {
    initialProfile: 'conservative',
    adaptiveGains: false,  // Keep conservative throughout
  },

  validation: {
    preIteration: {
      checkBuild: true,
      checkLint: true,
    },
    postIteration: {
      checkTests: true,
      runSecurityScan: true,
    },
  },

  overseer: {
    autoEscalate: true,
    stuckThreshold: 2,      // Stricter stuck detection
    pauseOnCritical: true,
  },
});
```

### Iteration 1: Investigation

**Layer 1 - PID Control**:
```yaml
metrics:
  proportional: 1.0
  integral: 0.0
  derivative: 0.0

gains:
  profile: conservative
  kp: 0.3    # Low proportional
  ki: 0.05   # Very low integral
  kd: 0.4    # High derivative for stability

control_signal: 0.30
alarm_status: NORMAL
```

**Layer 2 - Validation**:
```yaml
pre_iteration_validation:
  passed: true
  warnings:
    - "Security-sensitive task - extra validation enabled"
    - "All changes will be scrutinized"
```

**Iteration 1 Output**:
Identified that auth module uses MD5 for token hashing (insecure). Need to migrate to HMAC-SHA256.

---

### Iteration 2: First Fix Attempt (Incomplete)

**Layer 1 - PID Control**:
```yaml
metrics:
  proportional: 0.8       # 20% progress
  integral: 1.8
  derivative: -0.2

control_signal: 0.40
alarm_status: NORMAL
```

**Layer 2 - Validation**:
```yaml
post_iteration_validation:
  tests_passed: true
  security_scan:
    status: FAIL
    issues:
      - "Hardcoded secret key detected (CWE-798)"
      - "Token HMAC migration incomplete"
  severity: error
```

**Layer 4 - Overseer**:
```yaml
health_check:
  status: degraded
  detections:
    - type: validation_failure
      severity: high
      message: "Security scan still failing - fix incomplete"
  interventions:
    - level: REDIRECT
      message: "Security issues remain. Prioritize: remove hardcoded key, complete HMAC migration"
```

**Iteration 2 Output**:
Validation caught incomplete fix. Loop redirected to address security gaps.

---

### Iteration 3: Addressing Feedback

**Layer 2 - Strategy**:
```yaml
strategy:
  approach: focused_remediation
  reasoning: "Validation failures guide next steps"
  priorities:
    - "Remove hardcoded secret, load from environment"
    - "Complete HMAC-SHA256 migration for all token operations"
    - "Update tests to verify new crypto"
```

**Layer 2 - Validation**:
```yaml
post_iteration_validation:
  tests_passed: true
  security_scan:
    status: PASS
    issues: []
  severity: ok
```

**Layer 4 - Overseer**:
```yaml
health_check:
  status: excellent
  detections: []
  interventions:
    - level: LOG
      message: "Security scan passing, all tests green - completion detected"

  completion_detected: true
```

**Iteration 3 Output**:
All security issues resolved. Scan passes.

---

### Loop Completion with Human Gate

**Layer 4 - Escalation**:
```yaml
escalation:
  level: INFO
  reason: "Security-critical task complete - requesting human review"
  notification:
    desktop: true
    message: |
      Security fix complete in 3 iterations:
      - Migrated MD5 → HMAC-SHA256
      - Removed hardcoded secrets
      - All tests passing
      - Security scan clean

      Please review changes before deployment.
```

**PID Trajectory**:
```
Iteration | P    | Control | Validation | Alarm
----------|------|---------|------------|-------
1         | 1.0  | 0.30    | N/A        | NORMAL
2         | 0.8  | 0.40    | FAIL       | NORMAL
3         | 0.0  | 0.05    | PASS       | NORMAL
```

**Memory Promoted**:
- Antipattern: "Hardcoded secrets detected by security scan - always use env vars" (confidence: 1.0)
- Strategy: "For crypto migrations, update all usages atomically to avoid partial states" (confidence: 0.90)

**Outcome**:
- ✓ Security vulnerability fixed
- ✓ Validation caught incomplete fix (prevented false completion)
- ✓ Conservative mode maintained throughout
- ✓ Human notified for final review (appropriate for security)

---

## Example 4: Test Coverage Improvement (Long-Running Loop)

**Scenario**: Increase coverage from 60% to 80%. Expect plateau as easy tests are written first.

### Configuration

```javascript
await orchestrator.execute({
  objective: "Increase test coverage to 80%",
  completionCriteria: "Coverage >= 80% for src/**",
  maxIterations: 20,
  budgetPerIteration: 2.5,

  pidConfig: {
    initialProfile: 'standard',
    adaptiveGains: true,
    integralDecay: 0.95,  // Higher decay for long loops
  },

  validation: {
    postIteration: {
      checkCoverage: true,
      coverageTarget: 80,
    },
  },

  overseer: {
    stuckThreshold: 5,  // Higher tolerance for coverage work
  },
});
```

### Iteration 1-5: Early Wins (60% → 70%)

**Layer 1 - PID Control** (Iteration 5):
```yaml
metrics:
  proportional: 0.5       # 50% of gap closed (10 of 20 points gained)
  integral: 3.2
  derivative: -0.1        # Good velocity

gains:
  profile: standard
  kp: 0.5
  ki: 0.15
  kd: 0.25

control_signal: 0.55
```

**Progress**: Easy functions covered. Velocity strong.

---

### Iteration 6-12: Plateau (70% → 73%)

**Layer 1 - PID Control** (Iteration 12):
```yaml
metrics:
  proportional: 0.65      # 35% of gap closed (only 13 of 20 points)
  integral: 6.8
  derivative: -0.01       # Velocity dropped significantly

gains:
  profile: aggressive     # Adapted to break plateau
  kp: 0.8
  ki: 0.25
  kd: 0.1

control_signal: 0.82      # High signal - aggressive push needed
alarm_status: WARNING
alarm_details:
  - type: stagnation
    message: "Coverage stuck at 73% for 4 iterations"
```

**Layer 2 - Strategy**:
```yaml
strategy:
  approach: pivot
  reasoning: "Plateau suggests need for different approach"
  new_priorities:
    - "Identify uncovered branches via coverage report"
    - "Write targeted tests for edge cases"
    - "Focus on error paths (often uncovered)"
```

**Layer 4 - Overseer**:
```yaml
health_check:
  status: healthy_with_warning
  detections:
    - type: stuck
      severity: medium
      message: "No progress for 4 iterations - strategy pivot recommended"
  interventions:
    - level: REDIRECT
      message: "Coverage plateau detected. Suggest: analyze uncovered lines, focus on edge cases"
```

---

### Iteration 13-18: Recovery (73% → 80%)

**Layer 2 - Strategy** (Iteration 13):
```yaml
strategy:
  approach: targeted_coverage
  reasoning: "Pivot successful - focusing on specific gaps"
  current_focus:
    - "Error handling branches in auth module"
    - "Edge cases in validation functions"
    - "Timeout paths in async operations"
```

**Layer 1 - PID Control** (Iteration 18):
```yaml
metrics:
  proportional: 0.0       # 100% complete (80% coverage reached)
  integral: 4.2
  derivative: -0.08       # Recovered velocity

gains:
  profile: focused        # Returned to focused after plateau
  kp: 0.5
  ki: 0.15
  kd: 0.25

control_signal: 0.07
```

**Layer 3 - Memory**:
```yaml
learnings_promoted:
  - type: strategy
    content: "For coverage improvement: easy wins first, then analyze gaps for targeted tests"
    iterations_taken: 18

  - type: antipattern
    content: "Random test addition doesn't work past 70% - need targeted approach"
    confidence: 0.95

  - type: estimate
    content: "Coverage improvement: 60→80% takes ~15-20 iterations"
    confidence: 0.85
```

**Outcome**:
- ✓ Coverage 60% → 80% achieved
- ✓ 18 iterations (within budget)
- ✓ Plateau successfully detected and addressed
- ✓ Strategy pivot documented for future coverage tasks

---

## Example 5: Documentation Generation (Aggressive Mode)

**Scenario**: Generate API documentation for 15 endpoints. Low-risk task, fast iterations expected.

### Configuration

```javascript
await orchestrator.execute({
  objective: "Generate API documentation for all endpoints",
  completionCriteria: "docs/api/ has docs for all 15 endpoints",
  maxIterations: 6,
  budgetPerIteration: 1.5,

  // Aggressive mode for low-risk docs
  pidConfig: {
    initialProfile: 'aggressive',
    adaptiveGains: false,  // Keep aggressive throughout
  },

  // Minimal validation for docs
  validation: {
    postIteration: {
      checkBuild: false,
      checkTests: false,
      checkLint: false,
    },
  },

  // Relaxed oversight
  overseer: {
    stuckThreshold: 5,
    autoEscalate: false,
  },
});
```

### Iteration 1-4: Rapid Progress

**Layer 1 - PID Control** (Iteration 1):
```yaml
metrics:
  proportional: 1.0
  integral: 0.0
  derivative: 0.0

gains:
  profile: aggressive
  kp: 0.8    # High proportional
  ki: 0.25   # Higher integral
  kd: 0.1    # Low derivative (accept variability)

control_signal: 0.80     # High urgency from start
```

**Layer 2 - Strategy**:
```yaml
strategy:
  approach: batch_generation
  reasoning: "Low-risk docs, generate multiple per iteration"
  priorities:
    - "Generate 4-5 docs per iteration"
    - "Use consistent template"
    - "Include examples for each endpoint"
```

**Progress Summary**:
```
Iteration 1: 4 docs generated (POST /api/users, GET /api/users/:id, ...)
Iteration 2: 5 docs generated (PUT /api/users/:id, DELETE /api/users/:id, ...)
Iteration 3: 4 docs generated (auth endpoints)
Iteration 4: 2 docs generated (admin endpoints)
```

**Layer 1 - PID Control** (Iteration 4):
```yaml
metrics:
  proportional: 0.0       # 100% complete (15/15 docs)
  integral: 1.2           # Low accumulation
  derivative: -0.25       # Fast velocity maintained

control_signal: 0.04      # Near zero
```

**Layer 4 - Overseer**:
```yaml
health_check:
  status: excellent
  detections: []
  interventions:
    - level: LOG
      message: "Rapid completion in 4 iterations - aggressive mode effective for docs"

  completion_detected: true
```

**Memory Promoted**:
```yaml
learnings:
  - type: strategy
    content: "Documentation generation: aggressive mode with batch approach (4-5 items/iteration)"
    confidence: 0.90

  - type: estimate
    content: "API docs: ~0.25 iterations per endpoint with batch generation"
    confidence: 0.85
```

**Outcome**:
- ✓ All 15 docs generated
- ✓ 4 iterations (very efficient)
- ✓ Aggressive mode appropriate for low-risk task
- ✓ No interventions needed

---

## Example 6: Recovery from Stuck Loop

**Scenario**: Loop gets stuck on complex refactoring. System detects, intervenes, and recovers.

### Configuration

```javascript
await orchestrator.execute({
  objective: "Refactor payment processing to use new provider",
  completionCriteria: "All payment tests pass with new provider",
  maxIterations: 12,

  pidConfig: {
    initialProfile: 'standard',
    adaptiveGains: true,
  },

  overseer: {
    stuckThreshold: 3,
    autoEscalate: true,
  },
});
```

### Iteration 1-3: Normal Progress

**Progress**: Updating payment provider integration. Tests partially passing.

---

### Iteration 4-6: Stuck Pattern Emerges

**Layer 1 - PID Control** (Iteration 6):
```yaml
metrics:
  proportional: 0.65      # Stuck at 35% for 3 iterations
  integral: 5.8
  derivative: 0.0         # No change

gains:
  profile: recovery       # Adapted to recovery mode
  kp: 1.0
  ki: 0.4
  kd: -0.1

control_signal: 0.95      # Maximum urgency
alarm_status: CRITICAL
alarm_details:
  - type: stuck
    message: "No progress for 3 iterations (35% → 35% → 35%)"
  - type: saturation
    message: "Control signal saturated at maximum"
```

**Layer 4 - Overseer**:
```yaml
health_check:
  status: critical
  detections:
    - type: stuck
      severity: high
      iterations_stuck: 3
      last_progress: "iteration 3"
  interventions:
    - level: REDIRECT
      action: strategy_pivot
      message: |
        STUCK PATTERN DETECTED

        Current approach not working. Recommend:
        1. Review error logs for blockers
        2. Consider breaking into smaller steps
        3. Verify test expectations are correct
```

**Intervention Applied**:
```yaml
intervention_result:
  injected_instructions:
    - "CRITICAL: Loop stuck at 35% for 3 iterations"
    - "DIRECTIVE: Break refactor into smaller steps"
    - "DIRECTIVE: Complete one payment method at a time"
    - "DIRECTIVE: Verify test expectations match new provider API"

  pid_adjustments:
    gains: recovery_profile  # Maximum urgency

  strategy_override:
    approach: decompose
    new_priorities:
      - "Focus only on credit card payments first"
      - "Defer PayPal, Stripe to later iterations"
```

---

### Iteration 7-9: Recovery

**Layer 2 - Strategy** (Iteration 7):
```yaml
strategy:
  approach: decompose
  reasoning: "Overseer intervention - simplify scope"
  current_focus:
    - "Complete credit card payment only"
    - "Get credit card tests passing"
    - "Then proceed to other methods"
```

**Layer 1 - PID Control** (Iteration 7):
```yaml
metrics:
  proportional: 0.45      # Progress! 35% → 55%
  integral: 5.0           # Decreased due to decay
  derivative: -0.20       # Strong velocity restored

gains:
  profile: focused        # Returned to focused (recovery successful)
  kp: 0.5
  ki: 0.15
  kd: 0.25

control_signal: 0.52
alarm_status: NORMAL
```

**Layer 4 - Overseer**:
```yaml
health_check:
  status: recovering
  detections:
    - type: recovery
      message: "Progress resumed after intervention (35% → 55%)"
  interventions:
    - level: LOG
      message: "Intervention successful - decomposition strategy working"
```

**Progress**:
```
Iteration 7: Credit card payments complete (55%)
Iteration 8: PayPal integration complete (75%)
Iteration 9: Stripe integration complete (100%)
```

---

### Loop Completion

**Layer 1 - Final PID State**:
```yaml
metrics:
  proportional: 0.0
  integral: 2.1
  derivative: -0.25

trajectory:
  stuck_at_iteration: 6
  intervention_at_iteration: 6
  recovery_at_iteration: 7
  completed_at_iteration: 9
```

**Layer 3 - Memory**:
```yaml
learnings_promoted:
  - type: antipattern
    content: "Refactoring all payment methods at once causes stuckness - do one at a time"
    confidence: 0.95
    detected_at: iteration_6

  - type: strategy
    content: "For payment provider migration: decompose into one method per iteration"
    confidence: 0.90
    intervention_required: true
```

**Layer 4 - Escalation Log**:
```yaml
escalation:
  level: WARNING
  timestamp: "iteration 6"
  reason: "Stuck pattern detected and resolved via intervention"
  outcome: "Recovery successful after REDIRECT intervention"
  notification:
    desktop: true
    message: |
      Ralph loop experienced stuckness but recovered:
      - Stuck for 3 iterations (4-6)
      - REDIRECT intervention applied
      - Recovery successful in iteration 7
      - Completed in iteration 9

      Lesson learned: Decompose complex refactors.
```

**Outcome**:
- ✓ Task completed despite stuck pattern
- ✓ System detected stuck condition autonomously
- ✓ Intervention successfully redirected approach
- ✓ Recovery achieved in next iteration
- ✓ Antipattern documented for future prevention

---

## Summary Table: Example Outcomes

| Example | Iterations | PID Mode | Interventions | Memory Learnings | Outcome |
|---------|------------|----------|---------------|------------------|---------|
| **Test Fixes** | 3 | Standard → Focused | None | 2 strategies, 1 convention | ✓ Success |
| **TypeScript** | 15 | Cautious → Focused → Cautious | 1 WARN | 2 strategies, 1 estimate | ✓ Success with plateau recovery |
| **Security Fix** | 3 | Conservative (fixed) | 1 REDIRECT | 1 antipattern, 1 strategy | ✓ Success with validation gate |
| **Coverage** | 18 | Standard → Aggressive → Focused | 1 REDIRECT | 2 strategies, 1 antipattern, 1 estimate | ✓ Success with pivot |
| **Docs** | 4 | Aggressive (fixed) | None | 1 strategy, 1 estimate | ✓ Rapid success |
| **Stuck Recovery** | 9 | Standard → Recovery → Focused | 1 REDIRECT (critical) | 1 antipattern, 1 strategy | ✓ Success after intervention |

---

## Key Patterns Demonstrated

### PID Control Adaptation
- **Early phase** uses exploration gains (low Kp, low Ki)
- **Mid phase** uses focused gains (balanced)
- **Plateau** triggers aggressive gains (high Kp)
- **Stuck** triggers recovery gains (maximum Kp, negative Kd)
- **Near completion** returns to cautious (high Kd)

### Memory Learning
- **Strategies** promoted when confidence > 0.6 and success rate > 0.7
- **Antipatterns** promoted when repeated failures observed
- **Estimates** refined over multiple loops
- **Conventions** captured from project-specific patterns

### Overseer Interventions
- **LOG**: Normal operation, informational
- **WARN**: Slowdown, stagnation (non-blocking)
- **REDIRECT**: Stuck, oscillation (inject guidance)
- **PAUSE**: Critical issues, human needed
- **ABORT**: Fatal errors, impossible to continue

### Strategy Pivots
- **Persist**: Continue when making good progress
- **Pivot**: Change approach when stuck or regressing
- **Decompose**: Break into smaller steps when overwhelmed
- **Escalate**: Request human when uncertain

---

## Configuration Recommendations

Based on these examples:

| Task Type | PID Profile | Validation | Overseer Strictness | Expected Iterations |
|-----------|-------------|------------|---------------------|---------------------|
| **Bug fixes** | Standard | Tests | Medium | 2-5 |
| **Refactoring** | Cautious | Tests + Build | High | 5-15 |
| **Security** | Conservative | Tests + Scan | High | 3-8 |
| **Features** | Standard | Tests | Medium | 5-12 |
| **Docs** | Aggressive | Minimal | Low | 2-6 |
| **Coverage** | Standard → Aggressive | Coverage | Medium | 10-20 |

---

## References

- **Epic #26**: @.aiwg/working/issue-ralph-external-completion.md
- **Architecture**: @docs/ralph-epic-26-architecture.md
- **Configuration**: @docs/ralph-epic-26-configuration.md
- **REF-015**: Self-Refine (Best Output Selection)
- **REF-021**: Reflexion (Memory and Learning)

---

**Document Status**: Complete
**Last Updated**: 2026-02-03
**Target Audience**: Developers using Ralph External with Epic #26