> For the complete documentation index, see [llms.txt](https://docs.lleverage.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lleverage.ai/build-and-improve/automate/advanced-workflow-building.md). # Advanced workflow building Use these capabilities when a straightforward sequence of actions is not enough. * **Subworkflows** break reusable execution into smaller Workflows. * **Agent** lets a Workflow delegate a task to the Project Agent and pass text, structured data or files to the next action. The older Agent (legacy) is deprecated for new Workflows. * **AI** actions provide model-powered operations such as prompting, evaluation or categorisation. * **Custom Code** handles transformations or logic that are clearer in code than in canvas primitives. These capabilities increase flexibility, but also increase the number of runtime behaviours you need to test. Prefer the simplest execution model that reliably handles the work. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.lleverage.ai/build-and-improve/automate/advanced-workflow-building.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.