# What Korey Does Best ### Korey is an AI agent to help you create development-ready work in seconds ✨ Korey takes on your busywork by creating user stories, breaking them into actionable tasks and acceptance criteria so your team can focus on building what matters. ### Automate your Specs Korey eliminates the need to manually refine stories, break down work, or format tasks. Just describe what needs to get done, and Korey instantly turns it into structured, ready-to-go work without all the back-and-forth. * Write Stories in your team’s format and break the work down into Sub-tasks * Ensure descriptions are complete with best practice Acceptance Criteria * Create and updates the Stories in Shortcut * Enhance Story content with full context from your prompts * Copy and transform text into actionable work ### **Status, Progress, Capacity, Insights** Ask questions about the latest status of a major project, how your team is doing, or just find out the latest about your workspace. #### Suggested Prompts > *What did I do last week?* > > *What's the health of Epics in development across my team?* > > *Who has the capacity to pick up this story?* > > *Create a Burndown summary of the previous Iteration* {% hint style="info" %} Take a look at [Prompt Library](/using-korey/prompt-library.md) for more use cases and pre-made prompts {% endhint %} Korey understands your team’s workflow, ensuring every story is clear, actionable, and complete from the start. With the busywork out of the way, Korey helps teams do better work and move from idea to execution faster. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.korey.ai/getting-started/what-korey-does-best.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.