diff --git a/content/docs/usage.md b/content/docs/usage.md
index 2e2d8f2d..587e9a9e 100644
--- a/content/docs/usage.md
+++ b/content/docs/usage.md
@@ -5,19 +5,8 @@ A GitLab, GitHub, or Bitbucket account is required. Familiarity with
 [GitLab CI/CD](https://about.gitlab.com/stages-devops-lifecycle/continuous-integration)
 may also be beneficial.
 
-## GitLab
-
-Please see our docs on
-[CML with GitLab CI/CD](https://github.com/iterative/cml/wiki/CML-with-GitLab)
-and in particular the
-[personal access token](https://github.com/iterative/cml/wiki/CML-with-GitLab#variables)
-requirement.
-
-## Bitbucket
-
-Please see our docs on
-[CML with Bitbucket Cloud](https://github.com/iterative/cml/wiki/CML-with-Bitbucket-Cloud).
-_Bitbucket Server support estimated to arrive by mid 2021._
+<toggle>
+<tab title="GitHub">
 
 ## GitHub
 
@@ -62,6 +51,126 @@ example, uncommenting the
 runner pull the CML Docker image. The image already has Node.js, Python 3, DVC
 and CML set up on an Ubuntu LTS base for convenience.
 
+</tab>
+<tab title="GitLab">
+
+## GitLab
+
+The key file in any GitLab CI/CD project is `.gitlab-ci.yml`:
+
+```yml
+# .gitlab-ci.yml
+stages:
+  - Train model
+cml:
+  stage: Train model
+  image: iterativeai/cml:0-dvc2-base1
+  script:
+    - pip3 install -r requirements.txt
+    - python train.py
+
+    # Create CML report
+    - cat metrics.txt >> report.md
+    - cml publish confusion_matrix.png --md >> report.md
+    - cml send-comment report.md
+```
+
+The example above generates visual reports in a merge request
+![](/img/GitLab_CML_report.png '=400')
+
+Note that you _must_ create
+[personal or project access token (PAT)](/doc/self-hosted-runners#personal-access-token)
+and save it in a `repo_token` variable.
+
+### Using self-hosted runners
+
+[Follow GitLab's instructions](https://gitlab.com/andronovhopf/prettypretty/-/settings/ci_cd)
+to set up a runner manually or with a Kubernetes cluster.
+
+### Example projects
+
+- [Basic CML project](https://gitlab.com/iterative.ai/cml-base-case)
+- [CML with DVC to pull data](https://gitlab.com/iterative.ai/cml-dvc-case)
+- [CML with Tensorboard](https://gitlab.com/iterative.ai/cml-tensorboard-case)
+- [CML with EC2 GPU](https://gitlab.com/iterative.ai/cml-cloud-case)
+
+</tab>
+<tab title="Bitbucket">
+
+## Bitbucket
+
+CML now works with Bitbucket Cloud! Here, we'll show you how.
+
+_Bitbucket Server support estimated to arrive by mid 2022._
+
+In Bitbucket Cloud, you can use the
+[Bitbucket Pipelines](https://bitbucket.org/product/features/pipelines) CI/CD
+system to run workflows automatically on triggering events. When your workflow
+includes a CML report, you'll see it appear as a comment on the corresponding
+commit- like the report below:
+
+The key file in any Bitbucket Pipeline project is `bitbucket-pipelines.yml`:
+
+```yaml
+image: iterativeai/cml:0-dvc2-base1
+pipelines:
+  default:
+    - step:
+        name: Train model
+        script:
+          - pip install -r requirements.txt
+          - python train.py
+    - step:
+        name: Create CML report
+        script:
+          - cat metrics.txt > report.md
+          - echo >> report.md
+          - cml publish confusion_matrix.png --md >> report.md
+          - cml send-comment report.md
+```
+
+The example above generates visual reports in a pull request
+![](/img/bitbucket_cloud_pr.png '=600')
+
+To see this CML report in context,
+[check out our project repo](https://bitbucket.org/iterative-ai/cml-base-case/pull-requests/2).
+
+### Repository variables
+
+You'll need to create a variable called `repo_token` so CML can authenticate
+with the Bitbucket Cloud API. Because the API requires a username and password,
+you have two options:
+
+1. Use the access credentials from a user on your team (note that you may also
+   consider using
+   [Bitbucket Cloud App Passwords](https://support.atlassian.com/bitbucket-cloud/docs/app-passwords/)
+   to generate a password just for CML, if you would prefer).
+2. Create a designated "CI/CD" account to author CML reports.
+
+Whichever you choose, the steps to create your `repo_token` will be the same:
+
+1. Use a Base64 encoder of your choice to encode your username and password:
+   `printf $USERNAME:$PASSWORD | base64`. Copy the resulting token.
+2. In your repository, go to **Repository Settings** -> **Repository
+   Variables**.
+3. In the field "Name", enter `repo_token`.
+4. In the field "Value", enter your Base64 transformed string.
+5. Check `Secured` to ensure that your credentials are hidden in all Bitbucket
+   Pipelines logs.
+
+### Self-hosted runners
+
+At this time, Bitbucket Pipelines do not support self-hosted runners. Please
+[see their official docs](https://bitbucket.org/product/features/pipelines) to
+learn more about pricing options if you have significant computing needs.
+
+### Example projects
+
+- [Basic CML project](https://bitbucket.org/iterative-ai/cml-base-case)
+
+</tab>
+</toggle>
+
 ## CML Commands
 
 CML provides a number of commands to help package the outputs of ML workflows
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