implementation

CrewAI Role Definition

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Linked challenge: Sustainable Data Center Strategy Crew with CrewAI and Anyscale

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Linked challenge

Sustainable Data Center Strategy Crew with CrewAI and Anyscale

Prompt source

Original prompt text with formatting preserved for inspection.

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Create a CrewAI team with three agents. Agent 1 is a 'Power Grid Analyst' using Claude Sonnet 4.6.6 (via Anyscale). Agent 2 is a 'Financial Risk Strategist' using GPT-5.4 Pro (via Baseten). Agent 3 is a 'Procurement Negotiator' using GPT-5.4 Pro. Define their goals based on the Oracle-Bloom partnership headline.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

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

Tune next

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

Verify after

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

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Purpose

implementation

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

Linked challenge

Sustainable Data Center Strategy Crew with CrewAI and Anyscale

Following Oracle's massive 2.8 GW energy procurement deal with Bloom, you are tasked with building a multi-agent strategic planning crew. Using CrewAI, you will orchestrate a team of specialized agents including an Energy Grid Analyst, a Financial Risk Strategist, and a Procurement Negotiator. The agents will collaborate to optimize data center energy sourcing while managing complex financial instruments like stock warrants. This system will leverage GPT-5.4 Pro for high-level reasoning and Claude Sonnet 4.6.6 for detailed quantitative analysis. To ensure enterprise-grade performance, you will deploy these models through Anyscale and Baseten inference runtimes, focusing on low-latency collaboration and specialized model routing.

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Related prompts

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Initial Assessment Prompt

planning

Content Classification Prompt

implementation

Problem Definition and Requirements Gathering

To establish a clear understanding of the problem space and define comprehensive requirements for the AI solution.