Blueprint Bench

Spatial intelligence evaluation benchmark developed by andon-labs that tests AI agents' ability to understand and reason about physical room layouts and architectural spaces. Addresses the gap in current models' understanding of physical environments and spatial relationships.

Core Evaluation Focus

Spatial Understanding Deficits

Current language models demonstrate significant limitations in:

• Physical room comprehension and layout understanding
• Spatial relationship reasoning between objects and spaces
• Architectural interpretation of blueprints and floor plans
• Three-dimensional visualization from two-dimensional representations

Testing Methodology

Blueprint Bench evaluates agents' capabilities in:

• Interpreting architectural drawings and blueprints
• Understanding room functionality and purpose
• Reasoning about spatial constraints and possibilities
• Planning activities within physical space limitations

Real-World Applications

Embodied AI Requirements

Spatial intelligence is critical for:

• Robotics deployment in physical environments
• Autonomous navigation systems
• Smart building management and optimization
• Augmented reality applications requiring spatial awareness

Business Operation Context

Physical business management requires understanding of:

• Store layout optimization for customer flow
• Inventory placement and accessibility
• Safety considerations and egress planning
• Space utilization efficiency

Current Model Limitations

Despite advances in other reasoning domains, language models still struggle with:

• Basic spatial relationship understanding
• Physical constraint recognition
• Three-dimensional thinking from 2D inputs
• Practical space utilization planning

Integration with Real-World Testing

Blueprint Bench complements andon-labs' physical deployment testing by:

• Pre-evaluating spatial reasoning before physical deployment
• Identifying models suitable for embodied applications
• Testing spatial understanding in controlled benchmark environment
• Informing design of physical testing environments

See also

• andon-labs
• butter-bench
• real-world-agent-evaluation
• spatial-intelligence