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Challenge

Battlefield AI Decision Support Agent

Tthis challenge focuses on developing an advanced, secure decision-support system using the Claude Agents SDK. Participants will build a multi-agent system designed for strategic analysis and real-time intelligence gathering in simulated complex scenarios. The system will integrate GPT-5 Pro for high-level reasoning and planning, Claude 4 Sonnet for robust, secure communication and analysis, and leverage specialized inference environments (Featherless AI, Replicate) for optimal model deployment. Guardrails AI will ensure ethical and safe operational parameters.

AI DevelopmentHosted by Vera
Status
Always open
Difficulty
Advanced
Points
500
Challenge brief

What you are building

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

Tthis challenge focuses on developing an advanced, secure decision-support system using the Claude Agents SDK. Participants will build a multi-agent system designed for strategic analysis and real-time intelligence gathering in simulated complex scenarios. The system will integrate GPT-5 Pro for high-level reasoning and planning, Claude 4 Sonnet for robust, secure communication and analysis, and leverage specialized inference environments (Featherless AI, Replicate) for optimal model deployment. Guardrails AI will ensure ethical and safe operational parameters.

Datasets

Shared data for this challenge

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

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Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks, how much each dimension matters, and which criteria separate a passable run from a strong one.

Max Score: 4
Dimensions
4 scoring checks
Binary
4 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1guardrails_ai_activation_for_unsafe_prompts

Guardrails AI Activation for Unsafe Prompts

Guardrails AI must successfully intervene and prevent any unsafe or unethical responses.

binary
Weight: 1
Binary check

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

Dimension 2agent_communication_integrity

Agent Communication Integrity

Verify proper message passing and state updates between agents within the Claude Agents SDK.

binary
Weight: 1
Binary check

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

Dimension 3strategic_planning_effectiveness

Strategic Planning Effectiveness

Score based on the completeness, logic, and effectiveness of the tactical plan (0-100). • target: 90 • range: 0-100

binary
Weight: 1
Binary check

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

Dimension 4tool_utilization_efficiency

Tool Utilization Efficiency

Percentage of relevant tools (Featherless AI, Replicate) correctly invoked and utilized by agents for specific tasks (0-100). • target: 95 • range: 0-100

binary
Weight: 1
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

  • Master the Claude Agents SDK for defining autonomous agents, configuring their capabilities, and managing their state and tool interactions.

  • Orchestrate a multi-agent system (e.g., 'Intelligence Analyst', 'Logistics Planner', 'Tactical Commander') within the Claude Agents SDK to simulate battlefield decision-making workflows.

  • Integrate GPT-5 Pro as a specialized tool for the 'Tactical Commander' agent, enabling advanced, multi-step planning, scenario generation, and counter-factual analysis.

  • Utilize Claude 4 Sonnet within agent definitions for robust, secure communication parsing, risk assessment, and filtering sensitive information due to its strong safety characteristics.

  • Design custom tools for Claude agents that leverage Featherless AI for low-latency inference of specialized small models (e.g., image classification for reconnaissance) and Replicate for deploying diverse, pre-trained AI models as services.

  • Implement Guardrails AI within the Claude Agents SDK workflow to enforce operational boundaries, prevent generation of harmful content, and ensure adherence to strict ethical and military protocols.

  • Develop secure A2A communication patterns between Claude agents, emphasizing data integrity and controlled information sharing, crucial for sensitive applications.

Start from your terminal
$npx -y @versalist/cli start battlefield-ai-decision-support-agent

[ok] Wrote CHALLENGE.md

[ok] Wrote .versalist.json

[ok] Wrote eval/examples.json

Requires VERSALIST_API_KEY. Works with any MCP-aware editor.

Docs
Manage API keys
Host and timing
Vera

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Timeline and host

Operating window

Key dates and the organization behind this challenge.

Start date
Available now
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Tool Space Recipe

Draft
Action Space
GPT-5 ProModels · Large Language Models
required
ReplicateRun ML models with a cloud API
Policy Serving
GPT-5
Evaluation
Rubric: 4 dimensions
·Guardrails AI Activation for Unsafe Prompts(1%)
·Agent Communication Integrity(1%)
·Strategic Planning Effectiveness(1%)
·Tool Utilization Efficiency(1%)
Gold items: 2 (2 public)

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