fix: ✏️ edits from review

Co-authored-by: Signe Kirk Brødbæk <[email protected]>

Author: lwjohnst86

index.qmd

@@ -5,13 +5,13 @@ These documents are very much a work in progress and very much
 incomplete. We work on it slowly and when we can.
 :::
 
-This guidebook walks you through how we develop and release research
+This guidebook walks you through how we, in the [Seedcase Project](https://seedcase-project.org/), develop and release research
 software, build data infrastructures, create content on websites, and
 work together as a team. We've written this to collect best practices
-and lessons learned as we've built products and worked as a team.
+and lessons learned as we've built products as a team.
 
-We cover topics that range from what the contribution workflow looks
-like, how we write code, how we ensure our products are secure and
+We cover topics that range from our contribution workflow,
+how we write code, how we ensure our products are secure and
 reliable, how we collaborate and manage our work, and more.
 
 ## Who you are as the reader
@@ -25,14 +25,14 @@ think will read the documents:
 -   **Research software/data engineers**: If you work in another
     organization or group, we write these documents to share our
     practices with you. You can use this either as a guide or as a
-    reference to help you improve and learn how others work.
+    reference to help you improve and learn how we work.
 -   **Managers or leaders**: If you are in a position where you have
     control or power to influence how work is done and organised, these
     documents can serve as inspiration for how to structure teams,
     workflows, and practices to build products more effectively,
-    reliably, quickly, and securely.
+    reliably, and securely.
 -   **Research or development operations personnel**: For those who are
     responsible for maintaining infrastructure or operational aspects of
     a research organisation, these documents can provide insights into
     best practices for managing and deploying research software and data
-    systems in a way that hopefully reduces your workload and stress.
+    systems in an effective way that hopefully reduces your workload.