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.
What you are building
Create an AI agent that utilizes GPT-5's advanced reasoning and tool use capabilities to solve complex problems.
How work is evaluated
Evaluation based on problem-solving success rate, reasoning clarity, and tool usage efficiency.
Datasets
Public datasets, plus the private datasets you have access to.
Learning goals
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
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.
- No evaluation checks are configured.
- Accuracy target: 80
- Python execution harness
Shows the first task, up to three tools, and up to three evidence 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
- 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.