diff --git a/graphery/src/components/static/faq_en_us.md b/graphery/src/components/static/faq_en_us.md
index 13417c8b1..ae610a8fb 100644
--- a/graphery/src/components/static/faq_en_us.md
+++ b/graphery/src/components/static/faq_en_us.md
@@ -1,9 +1,31 @@
+We prepared some frequently asked questions for you. 
+
 ### What is Graphery?
 
+Graphery is a platform with interactive tutorials about graph algorithms alongside real-world biological networks. It is designed with biological researchers in mind, where users can click through Python code and see _how_ the algorithms work on networks from different biological domains.
+
 ### How do I use it?
 
+If you want a tour of the platform take the first tutorial: [Getting Started](link).  This is the best place to start!  The other tutorials are available on the [Tutorials] tab.  If you want to see the networks that are offered, click the [Graphs tab](link).  If you click a graph, you are taken to a playground view where you can interact with the graph, run the code associated with tutorials.
+
 ### How to run my own code on Graphery?
 
+You can execute existing code in the cloud by clicking [insert cloud button] on the editor.  If you click [insert unlock button] , you will change the [user settings](link) so you can modify existing code or write your own code.  Click [insert cloud button] whenever you want the code to run.
+
+If you would like to run your code locally on your machine (instead of in the cloud), [instructions are available here](https://docs.graphery.reedcompbio.org/user-manual/local-server/).
+
 ### I found a bug, how to report it?
 
+Please file a [GitHub Issue](https://github.com/FlickerSoul/Graphery/issues) - thanks in advance!
+
 ### Can I make contributions to Graphery?
+
+Yes! If you have an idea for a **graph** or a **tutorial**, then file a [GitHub Issue](https://github.com/FlickerSoul/Graphery/issues).  If you would like to add content to the website, we are always looking for contributors to add **graphs**, **tutorials**, and **translations**. [Email us to learn more](email link).
+
+### How do I cite Graphery?
+
+Graphery is currently under review. In the meantime, please cite our pre-print on arXiv:
+
+Heyuan Zeng, Jinbiao Zhang, Gabriel A. Preising, Tobias Rubel, Pramesh Singh, Anna Ritz.  
+[_Graphery: Interactive Tutorials for Biological Network Algorithms_](https://arxiv.org/abs/2102.03469)
+arXiv:2102.03469 [q-bio.MN], 2021
\ No newline at end of file
diff --git a/graphery/src/views/FAQ.vue b/graphery/src/views/FAQ.vue
index 376993297..1bee364fc 100644
--- a/graphery/src/views/FAQ.vue
+++ b/graphery/src/views/FAQ.vue
@@ -25,34 +25,38 @@
     data() {
       return {
         faq_: `
+We prepared some frequently asked questions for you.
+
 ### What is Graphery?
 
-Coming Soon
+Graphery is a platform with interactive tutorials about graph algorithms alongside real-world biological networks. It is designed with biological researchers in mind, where users can click through Python code and see _how_ the algorithms work on networks from different biological domains.
 
 ### How do I use it?
 
-Coming Soon
+If you want a tour of the platform take the first tutorial: [Getting Started](link).  This is the best place to start!  The other tutorials are available on the [Tutorials] tab.  If you want to see the networks that are offered, click the [Graphs tab](link).  If you click a graph, you are taken to a playground view where you can interact with the graph, run the code associated with tutorials.
 
 ### How to run my own code on Graphery?
 
-Coming Soon
+You can execute existing code in the cloud by clicking [insert cloud button] on the editor.  If you click [insert unlock button] , you will change the [user settings](link) so you can modify existing code or write your own code.  Click [insert cloud button] whenever you want the code to run.
+
+If you would like to run your code locally on your machine (instead of in the cloud), [instructions are available here](https://docs.graphery.reedcompbio.org/user-manual/local-server/).
 
 ### I found a bug, how to report it?
 
-Coming Soon
+Please file a [GitHub Issue](https://github.com/FlickerSoul/Graphery/issues) - thanks in advance!
 
 ### Can I make contributions to Graphery?
 
-Coming Soon
+Yes! If you have an idea for a **graph** or a **tutorial**, then file a [GitHub Issue](https://github.com/FlickerSoul/Graphery/issues).  If you would like to add content to the website, we are always looking for contributors to add **graphs**, **tutorials**, and **translations**. [Email us to learn more](email link).
+
+### How do I cite Graphery?
+
+Graphery is currently under review. In the meantime, please cite our pre-print on arXiv:
 
+Heyuan Zeng, Jinbiao Zhang, Gabriel A. Preising, Tobias Rubel, Pramesh Singh, Anna Ritz.
+[_Graphery: Interactive Tutorials for Biological Network Algorithms_](https://arxiv.org/abs/2102.03469)
+arXiv:2102.03469 [q-bio.MN], 2021
 `,
-        examples: [
-          'What is Graphery?',
-          'How do I use it?',
-          'How to run my own code on Graphery?',
-          'I found a bug, how to report it?',
-          'Can I make contributions to Graphery?',
-        ],
       };
     },
     computed: {