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Challenge

Assess Office Structural Reality using Claude Agents SDK and Fixie

Converting aging office buildings to residential space fails when engineering teams miss structural constraints like deep floorplates and plumbing risers. Build a Claude Agents SDK system with Fixie integration to analyze architectural metrics and output conversion viability scores with 90% accuracy.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Develop an automated structural evaluation agent using Claude Agents SDK and Fixie to analyze office building floorplates and MEP infrastructure for conversion potential.

Delivery guide

How work is evaluated

Evaluation

Evaluates office-to-residential viability score calculation accuracy based on architectural parameters.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

Blocker Identification Test

Validates that all architectural constraints exceeding thresholds are identified.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

Viability Score Accuracy

Absolute error margin from ground truth score. • target: 5 • range: 0-100

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Implement Claude Agents SDK tool definitions for parsing floorplate depth, window distance, and riser spacing.

  • Connect Fixie assistant hooks to enable voice/chat query interface for structural engineers.

  • Calculate a conversion viability index based on architectural parameters.

Resources and assets

Reference links and supporting material

Dataset notes

Dataset of 50 office building architectural schemas with floorplate depths, ceiling heights, and conversion outcome labels.

How this agent runs

Evaluates office-to-residential viability score calculation accuracy based on architectural parameters.

Challenge input

JSON with core_depth_ft, floor_to_floor_height_ft, window_perimeter_ratio

Claude Agents SDK

Assigned agent framework for reasoning and tool calling.

Fixie

Provides interactive conversational endpoint and agent integration.

Evaluated output

JSON with viability_score (0-100) and critical_blockers list

Checks for
  • Validates that all architectural constraints exceeding thresholds are identified.
  • Absolute error margin from ground truth score. • target: 5 • range: 0-100
Proof of success
  • Benchmark: Structural_Conversion_Eval
  • Viability Score Accuracy target: 5
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • Fixie · Required
  • RAI · Optional
Observation
  • Braintrust · Optional
Reward / Eval
  • Braintrust · Optional

Evaluation contract

  • Blocker Identification Test · Weight 1
  • Viability Score Accuracy · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

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