Beginner question: What's the difference between a list and a board?

Hey everyone! 👋 I've been seeing this question pop up a few times in the community, and it's a great one to clarify, especially when you're just starting to organize your ML projects in Runway.

In simple terms, **a List is a single, linear sequence of items** (like experiments, models, or datasets), while **a Board is a collection of multiple Lists**, organized into columns to represent stages or states. Think of it like this:
- A **List** is your basic to-do list or a simple log.
- A **Board** is a Kanban board (like Trello or Jira boards) that gives you a visual workflow.

For example, you might have a single List to track all your "Trained Models." But if you want to visualize your model development pipeline, you'd create a Board with Lists (columns) like "Backlog," "Training," "Evaluation," and "Deployed." This lets you drag and drop items between stages.

From a practical, engineering standpoint, I find myself using:
- **Lists** for straightforward, sequential tracking (e.g., a changelog of dataset versions).
- **Boards** for anything with a lifecycle or state machine, which is super common in ML workflows. It helps the team see the status of everything at a glance.

If you're working solo on a small project, a List might be all you need. But once you're collaborating or managing a multi-stage process, a Board becomes incredibly valuable for visibility. It's similar to the difference between a simple CLI output and a proper observability dashboard!

Hope that helps demystify it. How are you all using Lists and Boards in your projects?

-- Amy