docs: update docs

CONTRIBUTING.md

@@ -1,6 +1,6 @@
 # Midscene Contribution Guide
 
-Thanks for that you are interested in contributing to Midscene. Before starting your contribution, please take a moment to read the following guidelines.
+Thanks for showing interest in contributing to Midscene. Before starting your contribution, please take a moment to read the following guidelines.
 
 ---
 
@@ -58,7 +58,7 @@ What this will do:
 
 Please make sure you have your email set up in `<https://github.com/settings/emails>`. This will be needed later when you want to submit a pull request.
 
-Check that your git client is already configured the email:
+Check that your git client is already configured with the email:
 
 ```sh
 git config --list | grep email
@@ -132,7 +132,7 @@ pnpm run test
 pnpm run test:all
 ```
 
-You can also run the unit tests of single package:
+You can also run the unit tests of a single package:
 
 ```sh
 npx nx test @midscene/web

apps/site/docs/en/docs/getting-started/quick-start.mdx

@@ -11,7 +11,7 @@ Remember to prepare an API key that is eligible for accessing OpenAI's GPT-4o be
 Config the OpenAI API key, or [customize model vendor](../usage/model-vendor.html)
 
 ```bash
-# replace by your own
+# replace with your own
 export OPENAI_API_KEY="sk-abcdefghijklmnopqrstuvwxyz"
 ```
 
@@ -192,7 +192,7 @@ npx ts-node demo.ts
 # it should print 
 #  [
 #   {
-#     itemTitle: 'JBL Tour Pro 2 - True wireless Noise Cancelling earbuds with Smart Charging Case',
+#     itemTitle: 'JBL Tour Pro 2 - True Wireless Noise Cancelling earbuds with Smart Charging Case',
 #     price: 551.21
 #   },
 #   {
@@ -212,4 +212,4 @@ Alternatively, you can import the `./midscene_run/report/latest.web-dump.json` f
 
 Click the 'Load Demo' button in the [Visualization Tool](/visualization/), you will be able to see the results of the previous code as well as some other samples.
 
-![](/view-demo-visualization.gif)
+![](/view-demo-visualization.gif)

apps/site/docs/en/docs/more/prompting-tips.md

@@ -6,7 +6,7 @@ The natural language parameter passed to Midscene will be part of the prompt sen
 
 Since AI has the nature of heuristic, the purpose of prompt tuning should be to obtain stable responses from the AI model across runs. In most cases, to expect a consistent response from LLM by using a good prompt is entirely feasible.
 
-### Detailed description and samples are welcome
+### Detailed descriptions and samples are welcome
 
 Detailed descriptions and examples are always welcome.
 
@@ -36,7 +36,7 @@ Use the visualization tool to debug and understand each step of Midscene. Just u
 
 ### Infer or assert from the interface, not the DOM properties or browser status
 
-All the data sent to the LLM is in the form of screenshots and element coordinates. The DOM and the browser instance are almost invisible to the LLM. Therefore, ensure everything you expect is visible in the on the screen.
+All the data sent to the LLM is in the form of screenshots and element coordinates. The DOM and the browser instance are almost invisible to the LLM. Therefore, ensure everything you expect is visible on the screen.
 
 Good ✅: The title is blue
 

apps/site/docs/en/docs/usage/API.md

@@ -102,7 +102,7 @@ expect(onesieItem.price).toBe(7.99);
 
 ### `.aiWaitFor(assertion: string, {timeoutMs?: number, checkIntervalMs?: number })` - wait until the assertion is met
 
-`.aiWaitFor` will help you check if your assertion has been met or an timeout error occurred. Considering the AI service cost, the check interval will not exceed `checkIntervalMs` milliseconds. The default config sets `timeoutMs` to 15 seconds and `checkIntervalMs` to 3 seconds: i.e. check at most 5 times if all assertions fail and the AI service always responds immediately.
+`.aiWaitFor` will help you check if your assertion has been met or a timeout error occurred. Considering the AI service cost, the check interval will not exceed `checkIntervalMs` milliseconds. The default config sets `timeoutMs` to 15 seconds and `checkIntervalMs` to 3 seconds: i.e. check at most 5 times if all assertions fail and the AI service always responds immediately.
 
 When considering the time required for the AI service, `.aiWaitFor` may not be very efficient. Using a simple `sleep` method might be a useful alternative to `waitFor`.