implementation

Implement Gemini 2.5 Pro Creative Analysis

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Linked challenge: Multi-Agent Ad Fraud Detection

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Linked challenge

Multi-Agent Ad Fraud Detection

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Implement the 'Creative Analyzer' agent using Gemini 2.5 Pro. This agent should take an ad creative (image URL and associated text) and generate an initial risk assessment for visual and textual cues of fraud (e.g., urgency, unrealistic claims, suspicious branding). Ensure it queries a RAG system for relevant historical fraud indicators.

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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

Multi-Agent Ad Fraud Detection

This challenge tasks you with building a robust multi-agent system capable of proactively detecting, analyzing, and preventing fraudulent ad placements and scam campaigns within a simulated digital advertising platform. Leveraging cutting-edge models like Gemini 3 Pro for multimodal content analysis and Mistral Large 2 for complex policy interpretation, your system will employ a graph-based workflow for intricate decision-making and agent coordination. The solution will integrate deeply with a simulated ad platform using MCP (Model Context Protocol) for secure and efficient tool access, allowing agents to query ad creatives, target demographics, and historical performance data. Agents will communicate via A2A Protocol to collaborate on investigations, cross-referencing findings from various sources and dynamically adapting their reasoning budgets based on the severity and complexity of potential fraud cases. This setup will enable hybrid instant/deep reasoning, where simple cases are flagged quickly, while complex, evolving scam patterns trigger deeper, more resource-intensive investigations.

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