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Graph-based Workflow & Steamship Deployment
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: A2A Safety Swarm for Proactive Content Moderation
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Linked challenge
A2A Safety Swarm for Proactive Content Moderation
Prompt source
Original prompt text with formatting preserved for inspection.
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Construct the LangGraph DAG that orchestrates the agent swarm's workflow from prompt ingestion to decision making. Deploy this entire multi-agent system onto the Steamship platform, configuring necessary endpoints and ensuring all agents can communicate and utilize their MCP-enabled tools. Test the end-to-end flow with a few benign and clearly harmful prompts.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Preserve the source structure until you know which part of the prompt is actually driving the result quality.
Tune next
Change domain facts, examples, and tool context first before you rewrite the instruction scaffold.
Verify after
Validate one failure mode at a time so prompt changes stay attributable instead of getting noisy.