Error Recovery: Comprehensive Baseline Example

Experiment: bootstrap-003-error-recovery Baseline Investment: 120 min V_meta(s₀): 0.758 (Excellent) Result: 3 iterations (vs 6 standard)

Activities (120 min)

1. Data Analysis (60 min)

# Query all errors
meta-cc query-tools --status=error > errors.jsonl
# Result: 1,336 errors

# Frequency analysis
cat errors.jsonl | jq -r '.error_pattern' | sort | uniq -c | sort -rn

# Top patterns:
# - File-not-found: 250 (18.7%)
# - MCP errors: 228 (17.1%)
# - Build errors: 200 (15.0%)

2. Taxonomy Creation (40 min)

Created 10 categories, classified 1,056/1,336 = 79.1%

3. Prior Art Research (15 min)

Borrowed 5 industry error patterns

4. Automation Planning (5 min)

Identified 3 tools (23.7% prevention potential)

V_meta(s₀) Calculation

Completeness: 10/13 = 0.77
Transferability: 5/10 = 0.50
Automation: 3/3 = 1.0

V_meta(s₀) = 0.4×0.77 + 0.3×0.50 + 0.3×1.0 = 0.758

Outcome

Iterations: 3 (rapid convergence)
Total time: 10 hours
ROI: 540 min saved / 60 min extra = 9x

Source: Bootstrap-003, comprehensive baseline approach

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