implementation

Agent Team Definition

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Linked challenge: Autonomous Elite Chauffeur Fleet Orchestration with CrewAI and Fetch.ai

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Linked challenge

Autonomous Elite Chauffeur Fleet Orchestration with CrewAI and Fetch.ai

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Original prompt text with formatting preserved for inspection.

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0 checklist items

Using CrewAI, define three agents: a BookingAgent for client intake, a LogisticsAgent for route planning with Fetch.ai, and a ConciergeAgent for luxury standards. Each agent must use Claude Sonnet 4.6.6 as the backbone LLM. Define their roles and goals clearly to mirror a high-end chauffeur service like Uber Elite.

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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implementation

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

Linked challenge

Autonomous Elite Chauffeur Fleet Orchestration with CrewAI and Fetch.ai

Inspired by Uber's acquisition of Blacklane, this challenge requires building a multi-agent system to manage an elite chauffeur service. You will design a collaborative team of agents that handle high-end booking requests, real-time route optimization for luxury standards, and concierge-level client interactions. The system must use role-playing agents to simulate the complex logistics of a global elite transport network, ensuring that high-net-worth requirements are met through autonomous negotiation and planning. The implementation focuses on the collaboration between specialized agents to handle the end-to-end lifecycle of a luxury ride from booking to completion without human intervention.

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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.