Prompt Title: Bot Paraphrases Text.

As an AI language model, I cannot create an executable Python script, but I can provide you with a general idea of how you can implement this task using Python.

To start, you can use the nltk library to tokenize your input text into sentences. Then, you can iterate through these sentences, compiling them into groups with a word limit of less than 124 words.

Here's some sample code to tokenize your input text:

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import nltk
nltk.download('punkt')

text = "Your input text goes here."
sentences = nltk.sent_tokenize(text)

Next, you can compile these sentences into groups using a loop:

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word_limit = 124
groups = []
current_group = ""

for sentence in sentences:
    if len(current_group + sentence) > word_limit:
        groups.append(current_group.strip())
        current_group = ""
    current_group += sentence + " "

# Append any remaining sentences to the final group
if current_group:
    groups.append(current_group.strip())

Now that you have your groups of sentences, you can use the requests library to send each group to the Quillbot website and retrieve the paraphrased output. Here's some sample code to do that:

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import requests

for group in groups:
    response = requests.post("https://quillbot.com/api/paraphrase", data={
        "text": group,
        "mode": "Standard",
        "strength": "3"
    })
    paraphrased_text = response.json()["paraphrased_text"]
    # Append the paraphrased text to your Word document

Finally, you can use a library like python-docx to create a new Word document and append the paraphrased text to it. Here's some sample code to get you started:

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from docx import Document

document = Document()
for group in groups:
    response = requests.post("https://quillbot.com/api/paraphrase", data={
        "text": group,
        "mode": "Standard",
        "strength": "3"
    })
    paraphrased_text = response.json()["paraphrased_text"]
    document.add_paragraph(paraphrased_text)
document.save("paraphrased_output.docx")