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Integrate DeepOpinion and Nevermined for Automation and Secure Exchange

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Orchestrate Dynamic Content Strategy Agents with LangGraph and OpenAI o4-mini

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Linked challenge
Orchestrate Dynamic Content Strategy Agents with LangGraph and OpenAI o4-mini

Prompt source

Original prompt text with formatting preserved for inspection.

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Introduce a 'DataExtractor' agent that uses DeepOpinion to automate the ingestion and preliminary processing of raw market trend data before it reaches the MarketAnalyzer. Also, for completed content pieces, simulate integration with Nevermined by having the 'PublishingAgent' log a secure content asset creation event, representing monetization or rights management. Update your LangGraph to include these new nodes and their respective tool calls.

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.