Actioning first round of feedback.

Author: Oxyjun

src/content/docs/d1/get-started.mdx

@@ -12,14 +12,24 @@ This guide instructs you through:
 
 - Creating your first database using D1, Cloudflare's native serverless SQL database.
 - Creating a schema and querying your database via the command-line.
-- Connecting a [Cloudflare Worker](/workers/) to your D1 database to query your D1 database programmatically.
+- Connecting a [Cloudflare Worker](/workers/) to your D1 database using bindings, and querying your D1 database programmatically.
 
 You can perform these tasks through the CLI or through the Cloudflare dashboard.
 
 :::note
 If you already have an existing Worker and an existing D1 database, follow this tutorial from [3. Bind your Worker to your D1 database](/d1/get-started/#3-bind-your-worker-to-your-d1-database).
 :::
 
+## Quick start
+
+If you want to skip the steps and get started quickly, click on the button below.
+
+[![Deploy to Cloudflare](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/cloudflare/docs-examples/tree/d1-get-started/d1/d1-get-started)
+
+This creates a repository in your GitHub account and deploys the application to Cloudflare Workers. Use this option if you are familiar with Cloudflare Workers, and wish to skip the step-by-step guidance.
+
+You may wish to manually follow the steps if you are new to Cloudflare Workers.
+
 ## Prerequisites
 
 <Render file="prereqs" product="workers" />
@@ -90,7 +100,7 @@ For example: `CI=true npm create cloudflare@latest d1-tutorial --type=simple --g
 
 ## 2. Create a database
 
-A D1 database is conceptually similar to many other databases: a database may contain one or more tables, the ability to query those tables, and optional indexes. D1 uses the familiar [SQL query language](https://www.sqlite.org/lang.html) (as used by SQLite).
+A D1 database is conceptually similar to many other SQL databases: a database may contain one or more tables, the ability to query those tables, and optional indexes. D1 uses the familiar [SQL query language](https://www.sqlite.org/lang.html) (as used by SQLite).
 
 To create your first D1 database:
 
@@ -103,31 +113,40 @@ To create your first D1 database:
     cd d1-tutorial
     ```
 
-2. Run the following `wrangler d1` command and give your database a name. In this tutorial, the database is named `prod-d1-tutorial`:
+2. Run the following `wrangler@latest d1` command and give your database a name. In this tutorial, the database is named `prod-d1-tutorial`:
+
+    :::note
+    The [Wrangler command-line interface](/workers/wrangler/) is Cloudflare's tool for managing and deploying Workers applications and D1 databases in your terminal. It was installed when you used `npm create cloudflare@latest` to initialize your new project.
+
+    While Wrangler gets installed locally to your project, you can use it outside the project by using the command `npx wrangler`.
+    :::
 
    ```sh
-   npx wrangler d1 create prod-d1-tutorial
+   npx wrangler@latest d1 create prod-d1-tutorial
    ```
 
    ```sh output
 
-   ✅ Successfully created DB 'prod-d1-tutorial'
+		✅ Successfully created DB 'prod-d1-tutorial' in region WEUR
+		Created your new D1 database.
 
-   [[d1_databases]]
-   binding = "DB" # available in your Worker on env.DB
-   database_name = "prod-d1-tutorial"
-   database_id = "<unique-ID-for-your-database>"
-   ```
+		{
+			"d1_databases": [
+				{
+					"binding": "DB",
+					"database_name": "prod-d1-tutorial",
+					"database_id": "<unique-ID-for-your-database>"
+				}
+			]
+		}
 
-</Steps>
+   ```
 
-This creates a new D1 database and outputs the [binding](/workers/runtime-apis/bindings/) configuration needed in the next step.
 
-:::note
 
-The `wrangler` command-line interface is Cloudflare's tool for managing and deploying Workers applications and D1 databases in your terminal. It was installed when you used `npm create cloudflare@latest` to initialize your new project.
+</Steps>
 
-:::
+This creates a new D1 database and outputs the [binding](/workers/runtime-apis/bindings/) configuration needed in the next step.
 
 </TabItem> <TabItem label='Dashboard'>
 
@@ -217,11 +236,11 @@ You create bindings by adding them to the Worker you have created.
 
 ## 4. Run a query against your D1 database
 
-### Configure your D1 database
+### Populate your D1 database
 
 <Tabs syncKey='CLIvDash'> <TabItem label='CLI'>
 
-After correctly preparing your [Wrangler configuration file](/workers/wrangler/configuration/), set up your database. Use the example `schema.sql` file below to initialize your database.
+After correctly preparing your [Wrangler configuration file](/workers/wrangler/configuration/), set up your database. Create a `schema.sql` file using the SQL syntax below to initialize your database.
 
 <Steps>
 1. Copy the following code and save it as a `schema.sql` file in the `d1-tutorial` Worker directory you created in step 1:
@@ -238,7 +257,11 @@ After correctly preparing your [Wrangler configuration file](/workers/wrangler/c
    npx wrangler d1 execute prod-d1-tutorial --local --file=./schema.sql
    ```
 
-3. Validate your data is in your database by running:
+    :::note
+    The command `npx wrangler d1 execute` initializes your database locally, not on the remote database.
+    :::
+
+3. Validate that your data is in the database by running:
 
    ```sh
    npx wrangler d1 execute prod-d1-tutorial --local --command="SELECT * FROM Customers"
@@ -329,9 +352,9 @@ After you have set up your database, run an SQL query from within your Worker.
 
     In the code above, you:
 
-    1. Define a binding to your D1 database in your TypeScript code. This binding matches the `binding` value you set in the [Wrangler configuration file](/workers/wrangler/configuration/) under `[[d1_databases]]`.
+    1. Define a binding to your D1 database in your code. This binding matches the `binding` value you set in the [Wrangler configuration file](/workers/wrangler/configuration/) under `d1_databases`.
     2. Query your database using `env.DB.prepare` to issue a [prepared query](/d1/worker-api/d1-database/#prepare) with a placeholder (the `?` in the query).
-    3. Call `bind()` to safely and securely bind a value to that placeholder. In a real application, you would allow a user to define the `CompanyName` they want to list results for. Using `bind()` prevents users from executing arbitrary SQL (known as "SQL injection") against your application and deleting or otherwise modifying your database.
+    3. Call `bind()` to safely and securely bind a value to that placeholder. In a real application, you would allow a user to pass the `CompanyName` they want to list results for. Using `bind()` prevents users from executing arbitrary SQL (known as "SQL injection") against your application and deleting or otherwise modifying your database.
     4. Execute the query by calling `all()` to return all rows (or none, if the query returns none).
     5. Return your query results, if any, in JSON format with `Response.json(results)`.
 
@@ -385,7 +408,7 @@ Deploy your database on Cloudflare's global network.
 
 <Tabs syncKey='CLIvDash'> <TabItem label='CLI'>
 
-To deploy your Worker to production using Wrangler, you must first repeat the [database configuration](/d1/get-started/#configure-your-d1-database) steps after replacing the `--local` flag with the `--remote` flag to give your Worker data to read. This creates the database tables and imports the data into the production version of your database.
+To deploy your Worker to production using Wrangler, you must first repeat the [database configuration](/d1/get-started/#populate-your-d1-database) steps after replacing the `--local` flag with the `--remote` flag to give your Worker data to read. This creates the database tables and imports the data into the production version of your database.
 
 <Steps>
 1. Bootstrap your database with the `schema.sql` file you created in step 4: