Agent Test Results: Real Estate Development - Zoning Analysis #14

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Test Summary

Scenario: Real Estate Development - Zoning & Permit Analysis
Agent: Agent 06
Completion Date: September 8, 2025
Overall Rating: 7/10

Key Findings

  • Successfully installed FSS-Mini-RAG:
  • Created knowledge base with 5 documents
  • Tested 5 search queries
  • Found 2 critical issues
  • Overall effectiveness rating: 7/10

Professional Impact Assessment

Domain: Real Estate Development
Value for Professionals: 6/10 - Good for basic queries, unreliable for complex compliance research
Time Saving Potential: 4/10 - Requires manual verification
Recommended Use Cases: Basic zoning lookups, parking calculations

Issues Found

  • Issue #9: File indexing failure (only 3/5 files indexed)
  • Search relevance ranking dysfunction
  • README installation instructions invalid

Technical Results

Documents Indexed: 3/5 (60% success rate)
Index Size: 3 chunks
Average Query Response Time: <2 seconds
Success Rate: 40% for complex queries, 80% for simple queries

Recommendations

Strengths: Fast response, local security, good for simple queries
Improvements Needed: Fix file indexing, improve search relevance ranking
Missing Features: Search confidence scores, index verification tools

Evidence

  • Screenshots: Included in RESULTS.md
  • Performance metrics: Documented
  • Search examples: 5 queries tested with detailed analysis
  • Reproduction steps: Provided for indexing issue

Testing Methodology: Comprehensive evaluation including success and failure scenarios
Repository README Validation: Installation issues documented
Quantitative Assessment: Metrics and measurable outcomes provided

## Test Summary **Scenario**: Real Estate Development - Zoning & Permit Analysis **Agent**: Agent 06 **Completion Date**: September 8, 2025 **Overall Rating**: 7/10 ## Key Findings - Successfully installed FSS-Mini-RAG: ✅ - Created knowledge base with 5 documents - Tested 5 search queries - Found 2 critical issues - Overall effectiveness rating: 7/10 ## Professional Impact Assessment **Domain**: Real Estate Development **Value for Professionals**: 6/10 - Good for basic queries, unreliable for complex compliance research **Time Saving Potential**: 4/10 - Requires manual verification **Recommended Use Cases**: Basic zoning lookups, parking calculations ## Issues Found - Issue #9: File indexing failure (only 3/5 files indexed) - Search relevance ranking dysfunction - README installation instructions invalid ## Technical Results **Documents Indexed**: 3/5 (60% success rate) **Index Size**: 3 chunks **Average Query Response Time**: <2 seconds **Success Rate**: 40% for complex queries, 80% for simple queries ## Recommendations **Strengths**: Fast response, local security, good for simple queries **Improvements Needed**: Fix file indexing, improve search relevance ranking **Missing Features**: Search confidence scores, index verification tools ## Evidence - Screenshots: Included in RESULTS.md - Performance metrics: Documented - Search examples: 5 queries tested with detailed analysis - Reproduction steps: Provided for indexing issue --- **Testing Methodology**: Comprehensive evaluation including success and failure scenarios **Repository README Validation**: ✅ Installation issues documented **Quantitative Assessment**: ✅ Metrics and measurable outcomes provided
fss-code-server added 3 commits 2025-09-09 12:51:38 +10:00
- Created 15 real-world test scenarios across diverse industries
- Each scenario includes autonomous instructions and results placeholders
- Industries covered: engineering, healthcare, finance, education, tech, agriculture
- Scenarios test FSS-Mini-RAG with authentic professional use cases
- Complete deployment guide and validation tools included
- Ready for agent delegation and execution

Scenarios range from mechanical engineering CAD standards to
cybersecurity compliance, ensuring broad market validation.
 COMPLETE OVERHAUL OF AGENT TESTING SCENARIOS 

🎯 What Changed:
- Transformed boring installation tests into EXCITING functional demos
- Added comprehensive command coverage (init, search, stats, info, find-*, update)
- Each scenario now builds actual intelligent systems agents can use

🚀 New Functional Approach:
- Agents build industry-specific intelligence systems
- Test real semantic search with actual queries
- Create professional knowledge assistants
- Measure real-world impact and time savings

📋 Professional Completion Workflow:
- Comprehensive documentation requirements
- Repository contribution with proper branch management
- Pull request submission with detailed results
- Quality validation and evidence requirements

🔧 Repository Integration:
- All scenarios point to: http://192.168.1.3:3000/foxadmin/fss-mini-rag-github.git
- Proper branch workflow (agent-user-testing -> custom branches -> PRs)
- Professional git practices and submission standards

🎉 Examples of New Scenarios:
- CAD Standards Intelligence System (mechanical engineering)
- Childcare Compliance Intelligence Hub
- Warehouse Operations Intelligence System
- Financial Regulatory Intelligence Hub
- Clinical Trial Intelligence System

📊 Command Coverage Improvement:
- Before: 8.3% (1/12 commands - just --help)
- After: 83%+ (10/12 commands tested per scenario)

Agents now get to build COOL STUFF and provide valuable professional feedback!
Agent Test Results: Real Estate Development - Zoning Analysis
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5ed6b6cb5f
- Tested FSS-Mini-RAG with real estate development documentation
- Created intelligent knowledge base for domain queries
- Evaluated search effectiveness for professional workflows
- Documented 2 critical issues found
- Rating: 7/10 overall effectiveness

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
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Reference: BobAi/fss-mini-rag-github#14
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