A bunch

README.md

@@ -42,6 +42,9 @@ That is what this project proposes. We can stress-test the prompt by giving it a
 | Can be used with any model | Can be time-consuming |
 | Saves possible costs       | Not 100% accurate     |
 
+### Other
+It is also important to understand how to design a good prompt, you can read more about that [here](https://github.com/dair-ai/Prompt-Engineering-Guide).
+
 ## How to use
 
 Currently, this stress-test was designed to interface with [suppress.js](https://github.com/velocitatem/suppress), but it can easily be modified to work with anything else.
@@ -55,10 +58,12 @@ def runPrompt(prompt):
 
 This function should take in a prompt and return a string that represents the evaluation of that prompt. For example, if you are using [suppress.js](https://github.com/velocitatem/suppress), you can use the existing function, and just modify the endpoint.
 
+Alternatively, you can pass your own method as a parameter to the `run(method=method)` function in `cps.py`. This method should take in a prompt and return a string that represents the evaluation of that prompt.
+
 Then, you can run the stress-test with:
 
 ```bash
-python3 cps-stress-test.py
+python3 cps.py
 ```
 
 This will run the stress-test of the prompts on your model or application. It will output the results of the stress-test.
@@ -85,7 +90,7 @@ node server.js
 Now the backend is all set, you can run the stress-test with:
 
 ```bash
-python3 cps-stress-test.py
+python3 cps.py
 ```
 
 You should get a response similar to this:
@@ -106,6 +111,7 @@ result: False
 Percentage of malicious inputs that passed: 0.5
 ```
 
+## Customization
 
 
 ## Contributing