Skip to main content
Loading navigation
Back to challenges

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.

Business OperationsHosted by Vera
Sign in free to start

What you are building

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

How work is evaluated

Evaluation

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

Datasets

Public datasets, plus the private datasets you have access to.

How submissions are scored

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

  • 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

Dataset notes

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

Challenge setup

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

Evaluation checks
  • Validates that all architectural constraints exceeding thresholds are identified.
  • Absolute error margin from ground truth score. • target: 5 • range: 0-100
Configured evaluation evidence
  • Benchmark: Structural_Conversion_Eval
  • Viability Score Accuracy target: 5
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Shows the first task, up to three tools, and up to three evidence items.

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

Metrics

  • Viability Score Accuracy · Target 5

Benchmarks

  • Structural_Conversion_Eval
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON with core_depth_ft, floor_to_floor_height_ft, window_perimeter_ratio

    Output: JSON with viability_score (0-100) and critical_blockers list

    Execution harness: Python

Evaluation tools

  • Claude Agents SDK · Agent Framework
  • Fixie · Assistant Platform

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Assess Office Structural Reality using Claude Agents SDK and Fixie