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Define CrewAI Agent Roles and Goals

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Linked challenge: R&D Team for Specialized AI Model Definition

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Linked challenge

R&D Team for Specialized AI Model Definition

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Using CrewAI, define three agents: an 'AI Researcher', a 'Robotics Engineer', and a 'Project Manager'. Assign them distinct backstories, roles, and overarching goals relevant to designing an autonomous excavation AI. Specify the tools each agent should have access to (e.g., 'Web Search Tool', 'Milvus DB Tool', 'Document Writer Tool'). Provide Python code for the agent definitions.

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Hold the task contract and output shape stable so generated implementations remain comparable.

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Update libraries, interfaces, and environment assumptions to match the stack you actually run.

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Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

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This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

R&D Team for Specialized AI Model Definition

Orchestrate a multi-agent team using CrewAI to simulate an R&D department tasked with defining the requirements and preliminary architecture for a highly specialized AI model, such as one for automating heavy construction equipment. This challenge requires defining distinct roles (e.g., AI Researcher, Robotics Engineer, Project Manager), assigning specific goals, and enabling collaborative problem-solving. Agents must leverage external tools for information gathering and document generation, ultimately producing a comprehensive R&D report detailing the model's purpose, key features, data needs, and architectural considerations. The focus is on complex task decomposition and inter-agent communication facilitated by a shared memory and structured output.

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