Use an AI agent with browsing capabilities to automate the tedious process of finding valuable, underpriced collectible cards on eBay, turning hours of manual search into an automated background task.
Task the AI agent with a goal to browse the web and gather key data, such as unique certificate numbers for high-value graded cards, to build a target list.
fill out the certificate number for every card that costs more than a thousand dollars.Create a custom skill or function for your agent that encapsulates the logic for searching eBay effectively. This should include how to handle different card grading systems and how to batch requests to avoid being blocked.
Use a specific prompt to command the agent to use your custom skill and its database to start hunting for deals on eBay.
use the eBay PSA premium. Let's find some underpriced cards from our premium list.The agent will autonomously navigate eBay, scrape prices for cards on its target list, compare them against market data, and flag significantly underpriced listings in a report for your final review and purchasing decision.
Set up a cloud-based 'software factory' where AI agents autonomously handle coding tasks assigned and managed through a Linear project board. This workflow turns you from a coder into an AI agent manager.
Combine objective LLM-as-judge scores with subjective human 'taste' scores to create a final, definitive model ranking. This workflow shows you how to build a weighted index that reflects your unique priorities.
Go beyond automated metrics by performing a blind, manual 'taste test' on AI-generated content. This workflow guides you through scoring anonymized model outputs for tasks like PRD writing, design prototyping, and agentic voice.
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