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/Building Custom Agentic Workflows Within Cursor
Building Custom Agentic Workflows Within Cursor
Learn to design and execute complex, multi-step prompts that guide the AI through a complete workflow, effectively creating a custom agent for a specific task.
Throughout this course, we have used Cursor’s AI to perform specific, well-defined tasks: generating a file, refactoring a function, or debugging an error. In this lesson, we will take the final step in our journey by learning how to chain these tasks together to create a custom agentic workflow.
An agentic workflow is a process where we provide the AI with a high-level goal and a sequence of steps to achieve it, and the AI executes this entire sequence autonomously. This is the pinnacle of AI-assisted development, where we move from directing the AI on individual tasks to orchestrating it to perform a complete, end-to-end process. We will learn how to design these workflows by creating a custom “deployment agent” for our Markdown Notes App.
The core components of an agentic prompt
An effective agentic prompt is more than just a command; it is a script for the AI to follow. It typically consists of a clear goal and an ordered list of actions, often with conditional logic.