Operator-ready prompt for reuse, tuning, and workspace runs.
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Prompt content
Original prompt text with formatting preserved for inspection and clean copy.
Orchestrate a workflow where the `PolicyAnalyzer` agent first researches the 'AI tax on synthetic actors' topic using its retrieval tools to gather information from provided documents (representing SAG-AFTRA and Studio perspectives). It should then pass its findings to the `RhetoricGenerator` agent, which, using Claude 3.5 Sonnet, generates a compelling argument for a specified stakeholder (e.g., 'SAG-AFTRA' or 'Studio Executives'). Ensure the `RhetoricGenerator` focuses on the most impactful points and persuasive language.
Adaptation plan
Keep the source stable, then branch your edits in a predictable order so the next prompt run is easier to evaluate.
Hold the task contract and output shape stable so generated implementations remain comparable.
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.
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Prompt diagnostics
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This prompt is mostly narrative and instruction-driven, so you can adapt examples and output constraints first without disturbing the structure.
AI Policy Argument Generation Agent
Develop an advanced AI agent system using the Claude Agents SDK to assist in complex policy negotiations, drawing inspiration from the SAG-AFTRA talks regarding an 'AI tax' on synthetic actors. This challenge requires building a system capable of analyzing diverse policy documents, legal texts, and economic data to generate well-reasoned arguments and counter-arguments for specific stakeholders, such as labor unions and production studios. The core of the solution will be a multi-agent workflow orchestrated by the Claude Agents SDK, leveraging Claude 3.5 Sonnet for its robust reasoning and document understanding capabilities. The agents will be tasked with identifying key points of contention, forecasting potential impacts of proposed policies, and synthesizing persuasive rhetoric. Evaluation of the generated arguments will be conducted using Gentrace, focusing on logical coherence, factual accuracy, and persuasive strength. The system will rely on Azure Blob Storage and Azure Cognitive Search for efficient storage and retrieval of relevant policy documents and background information.
Use the challenge page to recover the original task boundaries before you tune the prompt. That keeps your variants grounded in the same evaluation target instead of drifting into a different problem.