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Challenge

Build a GPT-5 Reasoning Agent

Develop an AI agent leveraging GPT-5's advanced reasoning and tool use capabilities to solve complex, multi-step problems. The agent should demonstrate its ability to break down complex tasks, utilize external tools (e.g., calculators, search engines), and justify its reasoning process. Focus on creating a robust and adaptable agent capable of handling unforeseen challenges within a defined problem domain.

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Challenge brief

What you are building

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

Create an AI agent that utilizes GPT-5's advanced reasoning and tool use capabilities to solve complex problems.

Delivery guide

How work is evaluated

Evaluation

Evaluation based on problem-solving success rate, reasoning clarity, and tool usage efficiency.

Datasets

Challenge datasets

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

Learning goals

What you should walk away with

  • Design an agent architecture capable of leveraging external tools.

  • Implement a reasoning mechanism using GPT-5's capabilities.

  • Develop a robust error handling and fallback strategy.

  • Document the agent's design, implementation, and evaluation.

  • Evaluate the agent's performance on diverse problem sets.

Resources and assets

Reference links and supporting material

Dataset notes

Sample data available for 1 evaluation tasks

Challenge setup

Evaluation based on problem-solving success rate, reasoning clarity, and tool usage efficiency.

Challenge input

A text description of a complex problem.

Agent execution

No agent tool is listed for this challenge.

Evaluated output

A structured solution with explanations and justifications.

Evaluation checks
  • No evaluation checks are configured.
Configured evaluation evidence
  • Accuracy target: 80
Configured runtime
  • Python execution harness

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

No tool records are attached.

Evaluation contract

  • No evaluation checks are configured.

Metrics

  • Accuracy · Target 80
  • Clarity · Target 70

Workflow tasks

  1. Task 1

    Input: A text description of a complex problem.

    Output: A structured solution with explanations and justifications.

    Execution harness: Python

Recipe freeze marker

No recipe freeze time is recorded.

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