Operator-ready prompt for reuse, tuning, and workspace runs.
This item is set up for developers who want to inspect the original language, fork it into Workspace, and adapt the evidence model without losing the source prompt structure.
Implementation handoffs, eval setup, and prompt tuning where you need the original structure intact.
Inspect first, copy once, then fork into Workspace when you want variants, notes, and model settings attached to the same run.
Swap domain facts, examples, and any hard-coded entities for your own context.
Tighten the evidence or verification requirement if this is headed toward production.
Decide which failure mode you want to evaluate first before you branch the prompt.
This prompt already carries implementation detail, tool context, and a final-output instruction. Keep that structure intact when you tune it, or your comparison runs get noisy fast.
Open this prompt inside Workspace when you want a live iteration loop.
Copy for quick reuse, or run it in Workspace to keep prompt variants, model settings, and prompt-history changes in one place.
Structured source with 1 active lines to adapt.
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Prompt content
Original prompt text with formatting preserved for inspection and clean copy.
Extend your agent to automatically generate detailed compliance reports when suspicious activity is detected. The report should summarize the findings, cite relevant regulations retrieved from Pinecone, list flagged transactions, and provide clear recommendations for human action (e.g., 'Escalate for SAR filing', 'Investigate account history'). Define the structure and content of this report generation tool.
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.
Copy once for a pristine source snapshot, then move the prompt into Workspace when you want variants, run history, and side-by-side tuning without losing the original.
Prompt diagnostics
Quick signals for how structured this prompt already is and where adaptation work is likely to happen first.
This prompt is mostly narrative and instruction-driven, so you can adapt examples and output constraints first without disturbing the structure.
Autonomous Crypto Compliance Agent
This challenge requires building an advanced autonomous agent focused on financial compliance within the cryptocurrency domain or complex supply chain networks. Utilizing OpenAI's Agent SDK, developers will create a system capable of real-time monitoring of transactions and identifying suspicious patterns indicative of illicit activities or regulatory breaches. The agent will leverage sophisticated tool use and function calling to interact with external data sources and analytical frameworks. The core of the system involves GPT-5-2 for advanced reasoning and orchestrating analytical tasks. It will integrate Darts, a time-series forecasting library, to detect anomalies in transaction volumes or patterns over time. Long-term memory and regulatory context will be managed by a vector database (e.g., Pinecone) storing an extensive knowledge base of financial regulations and compliance policies. The agent will also interact with a simulated Enterprise Transaction API to fetch real-time data. The goal is to develop an intelligent agent that not only identifies potential compliance issues but also provides detailed reports, evidence, and recommendations for further investigation, showcasing a modern, proactive approach to financial crime detection.
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.