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.
Design the LangGraph DAG for your crypto market re-entry strategy. Define distinct nodes for 'Market Analyst', 'Regulatory Expert', 'Competitor Intelligence', 'Risk Assessor', and 'Strategy Synthesizer'. Describe the state transitions, conditional routing, and how agents will pass information between nodes. Specify which nodes will leverage Gemini 2.5 Pro Deep Think mode.
Adaptation plan
Keep the source stable, then branch your edits in a predictable order so the next prompt run is easier to evaluate.
Preserve the role framing, objective, and reporting structure so comparison runs stay coherent.
Swap in your own domain constraints, anomaly thresholds, and examples before you branch variants.
Check whether the prompt asks for the right evidence, confidence signal, and escalation path.
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.
Crypto Market Entry Strategy
This challenge focuses on building an advanced agentic system to devise a strategic market entry plan for a hypothetical crypto exchange. The system will employ a graph-based agent workflow using LangGraph's DAG patterns to orchestrate a team of expert agents. Key models will include Gemini 2.5 Pro (leveraging its Deep Think mode for complex financial and regulatory analysis) and Claude Sonnet 4 for competitive intelligence synthesis. The agents will perform RAG on vast datasets of market reports, regulatory documents, and competitor analyses, integrate with real-time market data tools, and engage in extended thinking cycles to refine strategic recommendations, including adaptive reasoning budgets for critical decision points.
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.