diff --git a/.github/workflows/dbt-parse.yml b/.github/workflows/dbt-parse.yml
index 6e4f98c..df03e6f 100644
--- a/.github/workflows/dbt-parse.yml
+++ b/.github/workflows/dbt-parse.yml
@@ -39,6 +39,6 @@ jobs:
           PG_DBNAME: postgres
         run: |
           cp profiles.yml.example profiles.yml
-          sed -i 's/dev_<your_name>_borough/dev_ci_borough/' profiles.yml
+          sed -i 's/dev_<your_name>/dev_ci/' profiles.yml
           dbt deps
           dbt parse
diff --git a/README.md b/README.md
index 31ca7ed..a18f257 100644
--- a/README.md
+++ b/README.md
@@ -43,7 +43,7 @@ The project is already initialised, so Task 1 is just pointing it at the databas
 
 ```bash
 cp profiles.yml.example profiles.yml
-# edit profiles.yml: replace <your_name> so schema reads dev_<your_name>_borough
+# edit profiles.yml: replace <your_name> so schema reads dev_<your_name>
 ```
 
 2. Export the connection env vars (values are in the class vault; ask your mentor if you are missing them):
diff --git a/profiles.yml.example b/profiles.yml.example
index 226a9e2..82c6ae0 100644
--- a/profiles.yml.example
+++ b/profiles.yml.example
@@ -8,7 +8,7 @@ nyc_taxi_borough_daily:
       user: "{{ env_var('PG_USER') }}"
       password: "{{ env_var('PG_PASSWORD') }}"
       dbname: "{{ env_var('PG_DBNAME', 'postgres') }}"
-      schema: "dev_<your_name>_borough"   # TODO: replace <your_name> with your first name
+      schema: "dev_<your_name>"   # TODO: replace <your_name> with your first name (the schema you already own)
       threads: 1
 
 # Copy this file to profiles.yml (same directory), fill in your name, and ensure
diff --git a/reports/answers.md b/reports/answers.md
index 822cae4..8fb8cf2 100644
--- a/reports/answers.md
+++ b/reports/answers.md
@@ -1,8 +1,8 @@
 # Business Question Answers
 
-Queries run against `dev_<your_name>_borough.fct_daily_borough_stats`.
+Queries run against `dev_<your_name>.fct_daily_borough_stats`.
 
-## Q1: Highest total `total_fare` across all of January 2024
+## Q1: Highest total `total_fare` across the whole loaded dataset
 
 **SQL:**