> 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/tutorials.md). # Tutorials Step-by-step guides for the most common things you'll do in Lleverage. While video tutorials are being prepared, these pages walk you through the same ground. ### Start here * [**The Agent**](/operator-agent/getting-started.md) - meet Llev, your AI coworker, and run your first task in chat * [**Workflow Copilot**](/get-started/workflow-copilot.md) - describe a process in plain language and let the Copilot build the workflow for you (temporarily unavailable while it is being improved) ### Build a workflow * [**Triggers**](/canvas-actions/triggers.md) - choose how your workflow starts: a form, a chat, an API call, a schedule, or an integration event * [**Action Cards**](/canvas-guide/action-cards.md) - add and configure the steps that do the work * [**Variables and Data Flow**](/canvas-guide/variables-and-data-flow.md) - pass data from one step to the next * [**Run Panel**](/canvas-guide/run-panel.md) - test your workflow with sample inputs before it goes live ### Go live * [**Publishing Workflows**](/publishing-guide/publishing-workflows.md) - share your workflow as an app, API endpoint, or schedule * [**Activity Monitoring**](/platform/activity-monitoring.md) - follow runs and dig into what happened --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.lleverage.ai/tutorials.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.