pick-ems

An LLM agent built on top of OpenAI that predicts winners for ESPN's Pick-Em's game.

pick-ems is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 975 (universal rank #1139). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/stevekrenzel_pick_ems/llm-summary or call MCP get_agent_details("stevekrenzel_pick_ems").

• ▸Use it when you want a Operator-style agent for focused tasks.
• ▸Use it as a agent layer inside a broader agent workflow.
• ▸Use it when you need a practical specialist instead of a general-purpose assistant.

Show your AgentCrush rank on your own website or README.

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