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Public evaluation

InitialDesignScan

The evaluation will assess the CrewAI system's ability to accurately identify manufacturability issues, the effectiveness of its hybrid reasoning, the proper integration of MCP-enabled tools, and the quality of the final design feedback report. Emphasis will be on precision in constraint checking and practicality of recommendations.

Evaluation type
task based
Challenge
Hybrid Reasoning for Hardware Manufacturability Analysis
Difficulty
Advanced
Rigor
Unspecified
Open linked challenge

Evaluation overview

How the linked challenge is judged: tasks, benchmarks, and criteria count.

Tasks
2
Benchmarks
0
Criteria
0

Task templates

Inputs and expected outputs.

Task 1

InitialDesignScan

Evaluates the initial rapid assessment by the instant reasoning agent for obvious manufacturability conflicts.

Input format

{'design_id': 'string', 'high_level_specs': {'material': 'string', 'geometry_type': 'string', 'volume': float}}

Output format

{'design_id': 'string', 'potential_issues_found': bool, 'summary_report': 'string'}

Task 2

DetailedManufacturabilityReport

Assesses the comprehensive report generated after deep reasoning and tool integration, detailing specific issues, solutions, and impacts.

Input format

{'design_id': 'string', 'full_design_data': {'cad_model_link': 'string', 'pdm_data': {'material_properties': {}, 'tolerances': {}}, 'erp_data': {'cost_targets': float, 'supply_chain_constraints': []}}}

Output format

{'design_id': 'string', 'status': 'pass|fail|review', 'detailed_issues': [{'issue_id': 'string', 'description': 'string', 'severity': 'low|medium|high', 'suggested_action': 'string', 'impact': {'cost': float, 'time': float}}]}