> ## Documentation Index
> Fetch the complete documentation index at: https://docs.workflowmachine.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Usage and limits

> Monitor run credits, AI credits, and workflow limits so your automations stay reliable and predictable.

## Why usage should be reviewed regularly

Usage tells you whether your workflows are operating at the scale you expect.

It helps you spot:

* workflows that fire too often
* AI-heavy workflows that are more expensive than expected
* workspaces that are approaching subscription plan limits

## Two main usage categories

The product tracks:

* **run credits**
* **AI credits**

These represent different kinds of activity and should be monitored together, not separately.

## Limits are part of workflow design

Usage is not only something to check after a workflow is live. It should influence how you design workflows from the beginning.

For example:

* frequent schedules should be intentional
* long step chains should justify their value
* AI should be used where it clearly improves the result

## What to monitor over time

Check usage when:

* a workflow is new
* a schedule changes
* AI usage increases
* a workflow starts running more often than expected

This helps you catch issues before they become expensive or disruptive.

## Where limits show up in practice

Plan limits can affect:

* how much workflow activity the workspace can sustain
* how many live workflows can be published
* how much history is retained
* how long workflows can run

If a workflow becomes operationally important, its usage profile is worth monitoring just as closely as its outputs.