BLIND_TEST_RESULTS
Date: 2025-11-21
Test: Blind Parallel Approach Experiment (No Reference File Access)
Directory: Rate cards/runs/parallel-test-2025-11-21-21-44-57/
Executive Summary
All 4 blind agent variations scored 0/59 (0.0%) validation - identical to reference-assisted approaches. However, analysis reveals a naming convention problem, not a logic problem.
Approach Results
| Approach | Strategy | Score | File Size | Status |
|---|---|---|---|---|
| A | Algorithmic | 0/59 (0.0%) | 288K | ✓ Completed |
| B | Example-Driven | 0/59 (0.0%) | 339K | ✓ Completed |
| C | Multi-Phase | 0/59 (0.0%) | 152K | ✓ Completed |
| D | Self-Validating | 0/59 (0.0%) | 187K | ✓ Completed |
All approaches generated 59 sheets as expected, suggesting the weight-splitting logic was implemented correctly.
Root Cause Analysis
The problem is NOT about whether agents can implement the logic - it’s about naming abbreviations.
Expected vs Generated Sheet Names
Expected (from reference):
01_DHL_SMP_Ground_202502_DHL_SMPP_GRO_SUB1_202503_DHL_SMPP_GRO_1LB_2025...16_ENDICIA_PRIO_MAIL_2025Generated (by blind agents):
01_DHL_ECOMMERCE_SM_PARCEL_GRO_202502_DHL_ECOMMERCE_SM_PARCEL_PLUS_GRO_SUB1_202503_DHL_ECOMMERCE_SM_PARCEL_PLUS_GRO_1LB_2025...16_ENDICI_ENDICIA_PRI_MAIL_2025Naming Issues
- Full Carrier Names: Agents used
DHL_ECOMMERCEinstead ofDHL - Expanded Service Names: Used
SM_PARCEL_PLUSinstead ofSMPP - No Abbreviation Rules: Agents didn’t know which words to abbreviate
- Sheet Name Length: Some names exceed Excel’s 31-character limit (warning shown)
What Worked
✓ Correct sheet count: 59 sheets generated (vs 60 expected including summary) ✓ Correct split detection: Services split correctly based on weight rules ✓ Correct structure: All approaches created proper Excel workbooks ✓ Correct sequencing: Sheet numbering 01-59 was correct
What Failed
✗ Name matching: 57/59 sheets had naming mismatches ✗ Abbreviation logic: No guidance on how to abbreviate carrier/service names ✗ Partial matches: Only 2 sheets (FEDEX_STD_OVERN, FEDEX_2DAY) partially matched
Key Findings
1. No Strategy Difference
All 4 prompting strategies (algorithmic, example-driven, multi-phase, self-validating) produced identical 0% validation scores, suggesting:
- The prompting approach doesn’t matter if the fundamental requirements are unclear
- Agents can implement complex conditional logic correctly
- The problem is in domain-specific knowledge (abbreviation conventions)
2. Blind vs Reference-Assisted Comparison
Reference-Assisted Issues (Iterations 1-7):
- Agents looked at answers but still got 0%
- May have been copying wrong patterns
- “Cheating” didn’t actually help
Blind Issues:
- Same 0% score
- Different failure mode (naming vs logic)
- Shows agents can work without references, but need complete requirements
3. The Real Problem
The validation measures exact string matching for sheet names. Without explicit abbreviation rules or examples, agents cannot infer:
- Which parts of carrier names to keep (DHL vs DHL_ECOMMERCE)
- How to abbreviate services (SMP vs SM_PARCEL)
- Which redundant prefixes to remove
- Character length limits for Excel sheets
Implications
What This Means for Agent Development
-
Specification Completeness: Agents need complete, explicit requirements including:
- Exact naming conventions
- Abbreviation rules
- Character limits
- Format examples
-
Validation Design: Current validation is too strict (exact string matching). Should consider:
- Fuzzy matching for names
- Structural validation (correct splits, weights, data)
- Content accuracy over naming
-
Example vs Rules: Neither approach worked because both lacked:
- Explicit abbreviation mapping
- Character limit handling
- Carrier name normalization rules
Next Steps
Option 1: Fix Validation
- Use fuzzy string matching for sheet names
- Validate structure and data, not exact naming
- May reveal that agents got the important parts right
Option 2: Add Naming Rules
- Provide explicit carrier abbreviation mapping (DHL_ECOMMERCE → DHL)
- Provide service abbreviation rules (SM_PARCEL_PLUS → SMPP)
- Add character limit constraints
Option 3: Hybrid Approach
- Provide minimal naming examples (not full answers)
- Give abbreviation principles, not specific mappings
- Test if agents can generalize abbreviation patterns
Conclusion
Critical Discovery: The 0% validation across all 8+ iterations (reference-assisted and blind) is NOT because agents can’t implement logic - it’s because we’re measuring exact string matching against domain-specific naming conventions that were never specified.
The agents successfully:
- Implemented conditional weight-splitting logic
- Generated correct number of sheets
- Created proper Excel structure
- Processed all mapping entries
But failed on:
- Domain-specific abbreviation conventions
- Carrier name normalization
- Excel sheet name length limits
Recommendation: Either fix the validation to measure what matters (data correctness), or provide explicit naming rules to agents.