# Iteration N: [Iteration Title]

**Date**: YYYY-MM-DD
**Duration**: ~X hours
**Status**: [In Progress / Completed]
**Framework**: BAIME (Bootstrapped AI Methodology Engineering)

---

## 1. Executive Summary

[2-3 paragraphs summarizing:]
- Iteration focus and primary objectives
- Key achievements and deliverables
- Key learnings and insights
- Value scores with gaps to target

**Value Scores**:
- V_instance(s_N) = [X.XX] (Target: 0.80, Gap: [±X.XX])
- V_meta(s_N) = [X.XX] (Target: 0.80, Gap: [±X.XX])

---

## 2. Pre-Execution Context

**Previous State (s_{N-1})**: From Iteration N-1
- V_instance(s_{N-1}) = [X.XX] (Target: 0.80, Gap: [±X.XX])
  - [Component 1] = [X.XX]
  - [Component 2] = [X.XX]
  - [Component 3] = [X.XX]
  - [Component 4] = [X.XX]
- V_meta(s_{N-1}) = [X.XX] (Target: 0.80, Gap: [±X.XX])
  - V_completeness = [X.XX]
  - V_effectiveness = [X.XX]
  - V_reusability = [X.XX]

**Meta-Agent**: M_{N-1} ([describe stability status, e.g., "M₀ stable, 5 capabilities"])

**Agent Set**: A_{N-1} = {[list agent names]} ([describe type, e.g., "generic agents" or "2 specialized"])

**Primary Objectives**:
1. [Objective 1 with success indicator: ✅/⚠️/❌]
2. [Objective 2 with success indicator: ✅/⚠️/❌]
3. [Objective 3 with success indicator: ✅/⚠️/❌]
4. [Objective 4 with success indicator: ✅/⚠️/❌]

---

## 3. Work Executed

### Phase 1: OBSERVE - [Description] (~X min/hours)

**Data Collection**:
- [Baseline metric 1]: [value]
- [Baseline metric 2]: [value]
- [Baseline metric 3]: [value]

**Analysis**:
- **[Finding 1 Title]**: [Detailed finding with data]
- **[Finding 2 Title]**: [Detailed finding with data]
- **[Finding 3 Title]**: [Detailed finding with data]

**Gaps Identified**:
- [Gap area 1]: [Current state] → [Target state]
- [Gap area 2]: [Current state] → [Target state]
- [Gap area 3]: [Current state] → [Target state]

### Phase 2: CODIFY - [Description] (~X min/hours)

**Deliverable**: `[path/to/knowledge-file.md]` ([X lines])

**Content Structure**:
1. [Section 1]: [Description]
2. [Section 2]: [Description]
3. [Section 3]: [Description]

**Patterns Extracted**:
- **[Pattern 1 Name]**: [Description, applicability, benefits]
- **[Pattern 2 Name]**: [Description, applicability, benefits]

**Decision Made**:
[Key decision with rationale]

**Rationale**:
- [Reason 1]
- [Reason 2]
- [Reason 3]

### Phase 3: AUTOMATE - [Description] (~X min/hours)

**Approach**: [High-level approach description]

**Changes Made**:

1. **[Change Category 1]**:
   - [Specific change 1a]
   - [Specific change 1b]

2. **[Change Category 2]**:
   - [Specific change 2a]
   - [Specific change 2b]

3. **[Change Category 3]**:
   ```[language]
   // Example code changes
   // Before:
   [old code]

   // After:
   [new code]
   ```

**Code Changes**:
- Modified: `[file path]` ([X lines changed], [description])
- Created: `[file path]` ([X lines], [description])

**Results**:
```
Before: [metric]
After:  [metric]
```

**Benefits**:
- ✅ [Benefit 1 with evidence]
- ✅ [Benefit 2 with evidence]
- ✅ [Benefit 3 with evidence]

### Phase 4: EVALUATE - Calculate V(s_N) (~X min/hours)

**Measurements**:
- [Metric 1]: [baseline value] → [final value] (change: [±X%])
- [Metric 2]: [baseline value] → [final value] (change: [±X%])
- [Metric 3]: [baseline value] → [final value] (change: [±X%])

**Why [Metric Changed/Didn't Change]**:
- [Reason 1]
- [Reason 2]

---

## 4. Value Calculations

### V_instance(s_N) Calculation

**Formula**:
```
V_instance(s) = [weight1]·[Component1] + [weight2]·[Component2] + [weight3]·[Component3] + [weight4]·[Component4]
```

#### Component 1: [Component Name]

**Measurement**:
- [Sub-metric 1]: [value]
- [Sub-metric 2]: [value]
- [Sub-metric 3]: [value]

**Score**: **[X.XX]** ([±X.XX from previous iteration])

**Evidence**:
- [Concrete evidence 1 with data]
- [Concrete evidence 2 with data]
- [Concrete evidence 3 with data]

#### Component 2: [Component Name]

**Measurement**:
- [Sub-metric 1]: [value]
- [Sub-metric 2]: [value]

**Score**: **[X.XX]** ([±X.XX from previous iteration])

**Evidence**:
- [Concrete evidence 1]
- [Concrete evidence 2]

#### Component 3: [Component Name]

**Measurement**:
- [Sub-metric 1]: [value]

**Score**: **[X.XX]** ([±X.XX from previous iteration])

**Evidence**:
- [Concrete evidence 1]

#### Component 4: [Component Name]

**Measurement**: [Description]

**Score**: **[X.XX]** ([±X.XX from previous iteration])

**Evidence**: [Concrete evidence]

#### V_instance(s_N) Final Calculation

```
V_instance(s_N) = [weight1]·([score1]) + [weight2]·([score2]) + [weight3]·([score3]) + [weight4]·([score4])
               = [term1] + [term2] + [term3] + [term4]
               = [sum]
               ≈ [X.XX]
```

**V_instance(s_N) = [X.XX]** (Target: 0.80, Gap: [±X.XX] or [±X]%)

**Change from s_{N-1}**: [±X.XX] ([±X]% improvement/decline)

---

### V_meta(s_N) Calculation

**Formula**:
```
V_meta(s) = 0.40·V_completeness + 0.30·V_effectiveness + 0.30·V_reusability
```

#### Component 1: V_completeness (Methodology Documentation)

**Checklist Progress** ([X]/15 items):
- [x] Process steps documented ✅
- [x] Decision criteria defined ✅
- [x] Examples provided ✅
- [x] Edge cases covered ✅
- [x] Failure modes documented ✅
- [x] Rationale explained ✅
- [ ] [Additional item 7]
- [ ] [Additional item 8]
- [ ] [Additional item 9]
- [ ] [Additional item 10]
- [ ] [Additional item 11]
- [ ] [Additional item 12]
- [ ] [Additional item 13]
- [ ] [Additional item 14]
- [ ] [Additional item 15]

**Score**: **[X.XX]** ([±X.XX from previous iteration])

**Evidence**:
- [Evidence 1: document created, X lines]
- [Evidence 2: patterns added]
- [Evidence 3: examples provided]

**Gap to 1.0**: Still missing [X]/15 items
- [Missing item 1]
- [Missing item 2]
- [Missing item 3]

#### Component 2: V_effectiveness (Practical Impact)

**Measurement**:
- **Time savings**: [X hours for task] (vs [Y hours ad-hoc] → [Z]x speedup)
- **Pattern usage**: [Describe how patterns were applied]
- **Quality improvement**: [Metric] improved from [X] to [Y]
- **Speedup estimate**: [Z]x faster than ad-hoc approach

**Score**: **[X.XX]** ([±X.XX from previous iteration])

**Evidence**:
- [Evidence 1: time measurement]
- [Evidence 2: quality improvement]
- [Evidence 3: pattern effectiveness]

**Gap to 0.80**: [What's needed]
- [Gap item 1]
- [Gap item 2]

#### Component 3: V_reusability (Transferability)

**Assessment**: [Overall transferability assessment]

**Score**: **[X.XX]** ([±X.XX from previous iteration])

**Evidence**:
- [Evidence 1: universal patterns identified]
- [Evidence 2: language-agnostic concepts]
- [Evidence 3: cross-domain applicability]

**Transferability Estimate**:
- Same language ([language]): ~[X]% modification ([reason])
- Similar language ([language] → [language]): ~[X]% modification ([reason])
- Different paradigm ([language] → [language]): ~[X]% modification ([reason])

**Gap to 0.80**: [What's needed]
- [Gap item 1]
- [Gap item 2]

#### V_meta(s_N) Final Calculation

```
V_meta(s_N) = 0.40·([completeness]) + 0.30·([effectiveness]) + 0.30·([reusability])
           = [term1] + [term2] + [term3]
           = [sum]
           ≈ [X.XX]
```

**V_meta(s_N) = [X.XX]** (Target: 0.80, Gap: [±X.XX] or [±X]%)

**Change from s_{N-1}**: [±X.XX] ([±X]% improvement/decline)

---

## 5. Gap Analysis

### Instance Layer Gaps (ΔV = [±X.XX] to target)

**Status**: [Assessment, e.g., "🔄 MODERATE PROGRESS (X% of target)"]

**Priority 1: [Gap Area]** ([Component] = [X.XX], need [±X.XX])
- [Action item 1]: [Details, expected impact]
- [Action item 2]: [Details, expected impact]
- [Action item 3]: [Details, expected impact]

**Priority 2: [Gap Area]** ([Component] = [X.XX], need [±X.XX])
- [Action item 1]
- [Action item 2]

**Priority 3: [Gap Area]** ([Component] = [X.XX], status)
- [Action item 1]

**Priority 4: [Gap Area]** ([Component] = [X.XX], status)
- [Assessment]

**Estimated Work**: [X] more iteration(s) to reach V_instance ≥ 0.80

### Meta Layer Gaps (ΔV = [±X.XX] to target)

**Status**: [Assessment]

**Priority 1: Completeness** (V_completeness = [X.XX], need [±X.XX])
- [Action item 1]
- [Action item 2]
- [Action item 3]

**Priority 2: Effectiveness** (V_effectiveness = [X.XX], need [±X.XX])
- [Action item 1]
- [Action item 2]
- [Action item 3]

**Priority 3: Reusability** (V_reusability = [X.XX], need [±X.XX])
- [Action item 1]
- [Action item 2]
- [Action item 3]

**Estimated Work**: [X] more iteration(s) to reach V_meta ≥ 0.80

---

## 6. Convergence Check

### Criteria Assessment

**Dual Threshold**:
- [ ] V_instance(s_N) ≥ 0.80: [✅ YES / ❌ NO] ([X.XX], gap: [±X.XX], [X]% of target)
- [ ] V_meta(s_N) ≥ 0.80: [✅ YES / ❌ NO] ([X.XX], gap: [±X.XX], [X]% of target)

**System Stability**:
- [ ] M_N == M_{N-1}: [✅ YES / ❌ NO] ([rationale, e.g., "M₀ stable, no evolution needed"])
- [ ] A_N == A_{N-1}: [✅ YES / ❌ NO] ([rationale, e.g., "generic agents sufficient"])

**Objectives Complete**:
- [ ] [Objective 1]: [✅ YES / ❌ NO] ([status])
- [ ] [Objective 2]: [✅ YES / ❌ NO] ([status])
- [ ] [Objective 3]: [✅ YES / ❌ NO] ([status])
- [ ] [Objective 4]: [✅ YES / ❌ NO] ([status])

**Diminishing Returns**:
- ΔV_instance = [±X.XX] ([assessment, e.g., "small but positive", "diminishing"])
- ΔV_meta = [±X.XX] ([assessment])
- [Overall assessment]

**Status**: [✅ CONVERGED / ❌ NOT CONVERGED]

**Reason**:
- [Detailed rationale for convergence decision]
- [Supporting evidence 1]
- [Supporting evidence 2]

**Progress Trajectory**:
- Instance layer: [s0] → [s1] → [s2] → ... → [sN]
- Meta layer: [s0] → [s1] → [s2] → ... → [sN]

**Estimated Iterations to Convergence**: [X] more iteration(s)
- Iteration N+1: [Expected progress]
- Iteration N+2: [Expected progress]
- Iteration N+3: [Expected progress]

---

## 7. Evolution Decisions

### Agent Evolution

**Current Agent Set**: A_N = [list agents, e.g., "A_{N-1}" if unchanged]

**Sufficiency Analysis**:
- [✅/❌] [Agent 1 name]: [Performance assessment]
- [✅/❌] [Agent 2 name]: [Performance assessment]
- [✅/❌] [Agent 3 name]: [Performance assessment]

**Decision**: [✅ NO EVOLUTION NEEDED / ⚠️ EVOLUTION NEEDED]

**Rationale**:
- [Reason 1]
- [Reason 2]
- [Reason 3]

**If Evolution**: [Describe new agent, rationale, expected improvement]

**Re-evaluate**: [When to reassess, e.g., "After Iteration N+1 if [condition]"]

### Meta-Agent Evolution

**Current Meta-Agent**: M_N = [describe, e.g., "M_{N-1} (5 capabilities)"]

**Sufficiency Analysis**:
- [✅/❌] [Capability 1]: [Effectiveness assessment]
- [✅/❌] [Capability 2]: [Effectiveness assessment]
- [✅/❌] [Capability 3]: [Effectiveness assessment]
- [✅/❌] [Capability 4]: [Effectiveness assessment]
- [✅/❌] [Capability 5]: [Effectiveness assessment]

**Decision**: [✅ NO EVOLUTION NEEDED / ⚠️ EVOLUTION NEEDED]

**Rationale**: [Detailed reasoning]

**If Evolution**: [Describe new capability, rationale, expected improvement]

---

## 8. Artifacts Created

### Data Files
- `[path/to/data-file-1]` - [Description, e.g., "Test coverage report (X%)"]
- `[path/to/data-file-2]` - [Description]
- `[path/to/data-file-3]` - [Description]

### Knowledge Files
- `[path/to/knowledge-file-1]` - [Description, e.g., "**X lines, Pattern Y documented**"]
- `[path/to/knowledge-file-2]` - [Description]

### Code Changes
- Modified: `[file path]` ([X lines, description])
- Created: `[file path]` ([X lines, description])
- Deleted: `[file path]` ([reason])

### Other Artifacts
- [Artifact type]: [Description]
- [Artifact type]: [Description]

---

## 9. Reflections

### What Worked

1. **[Success 1 Title]**: [Detailed description with evidence]
2. **[Success 2 Title]**: [Detailed description with evidence]
3. **[Success 3 Title]**: [Detailed description with evidence]
4. **[Success 4 Title]**: [Detailed description with evidence]

### What Didn't Work

1. **[Challenge 1 Title]**: [Detailed description with root cause]
2. **[Challenge 2 Title]**: [Detailed description with root cause]
3. **[Challenge 3 Title]**: [Detailed description with root cause]

### Learnings

1. **[Learning 1 Title]**: [Insight gained, applicability]
2. **[Learning 2 Title]**: [Insight gained, applicability]
3. **[Learning 3 Title]**: [Insight gained, applicability]
4. **[Learning 4 Title]**: [Insight gained, applicability]

### Insights for Methodology

1. **[Insight 1 Title]**: [Meta-level insight for methodology development]
2. **[Insight 2 Title]**: [Meta-level insight for methodology development]
3. **[Insight 3 Title]**: [Meta-level insight for methodology development]
4. **[Insight 4 Title]**: [Meta-level insight for methodology development]

---

## 10. Conclusion

[Comprehensive summary paragraph covering:]
- Overall iteration assessment
- Key metrics and their changes
- Critical decisions made and their rationale
- Methodology development progress

**Key Metrics**:
- **[Metric 1]**: [value] ([change], target: [target])
- **[Metric 2]**: [value] ([change], target: [target])
- **[Metric 3]**: [value] ([change], target: [target])

**Value Functions**:
- **V_instance(s_N) = [X.XX]** ([X]% of target, [±X.XX] improvement)
- **V_meta(s_N) = [X.XX]** ([X]% of target, [±X.XX] improvement - [±X]% growth)

**Key Insight**: [Main takeaway from this iteration in 1-2 sentences]

**Critical Decision**: [Most important decision made and its impact]

**Next Steps**: [What Iteration N+1 will focus on, expected outcomes]

**Confidence**: [Assessment of confidence in achieving next iteration goals, e.g., "High / Medium / Low" with reasoning]

---

**Status**: [Status indicator, e.g., "✅ [Achievement]" or "🔄 [In Progress]"]
**Next**: Iteration N+1 - [Focus Area]
**Expected Duration**: [X] hours