PC: Created page with "500px Photo by Google DeepMind on Unsplash 1. AI Blog Post Generator for Niche Websites (OpenAI API) I built this for affiliate marketers who wanted fresh SEO content daily.

 from openai import OpenAI import os  os.environ["OPENAI_API_KEY"] = "YOUR_KEY" client = OpenAI()  def generate_article(topic):     prompt = f"Write a 1200-word blog post about {topic} with SEO optimization."     response = client.c..."

2025-11-28T13:14:05Z

Created page with "500px Photo by Google DeepMind on Unsplash 1. AI Blog Post Generator for Niche Websites (OpenAI API) I built this for affiliate marketers who wanted fresh SEO content daily. <pre> from openai import OpenAI import os os.environ["OPENAI_API_KEY"] = "YOUR_KEY" client = OpenAI() def generate_article(topic): prompt = f"Write a 1200-word blog post about {topic} with SEO optimization." response = client.c..."

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[[file:The_AI_Automation_Scripts_That_Pay_My_Bills.jpg|500px]]

Photo by Google DeepMind on Unsplash

1. AI Blog Post Generator for Niche Websites (OpenAI API)

I built this for affiliate marketers who wanted fresh SEO content daily.
<pre>
from openai import OpenAI
import os

os.environ["OPENAI_API_KEY"] = "YOUR_KEY"
client = OpenAI()

def generate_article(topic):
prompt = f"Write a 1200-word blog post about {topic} with SEO optimization."
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message.content

article = generate_article("Best Hiking Trails in Europe")
with open("article.md", "w", encoding="utf-8") as f:
f.write(article)
</pre>

I charged $15/article. Automated jobs like this can be scheduled with cron.

2. AI Customer Support Email Responder

Reads incoming emails and drafts replies.
<pre>
import imaplib, email
from openai import OpenAI

client = OpenAI()

def fetch_emails():
mail = imaplib.IMAP4_SSL('imap.gmail.com')
mail.login('you@gmail.com', 'app_password')
mail.select('inbox')
result, data = mail.search(None, 'UNSEEN')
for num in data[0].split():
_, msg_data = mail.fetch(num, '(RFC822)')
msg = email.message_from_bytes(msg_data[0][1])
subject = msg["subject"]
body = msg.get_payload(decode=True).decode()
reply = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": f"Reply politely to this email: {body}"}]
)
print(f"Subject: {subject}\nAI Reply: {reply.choices[0].message.content}\n")

fetch_emails()
</pre>

Perfect for virtual assistant services.

3. AI YouTube Video Script Generator

For creators who want fast, well-structured video scripts.
<pre>
from openai import OpenAI
client = OpenAI()

def generate_video_script(topic):
prompt = f"Write a 5-minute YouTube video script about {topic} with a catchy intro."
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message.content

print(generate_video_script("AI tools to make money online"))
</pre>

4. AI Resume Tailor for Job Applications

Adjusts resumes for ATS-friendly job applications.
<pre>
from openai import OpenAI
client = OpenAI()

def tailor_resume(resume_text, job_description):
prompt = f"Rewrite this resume to match the job description:\nResume: {resume_text}\nJob: {job_description}"
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message.content

resume = open("resume.txt").read()
job = open("job_description.txt").read()
new_resume = tailor_resume(resume, job)
open("resume_updated.txt", "w").write(new_resume)
</pre>

I sold this as a $29 one-click resume service.

5. AI Sentiment Analysis for Product Reviews

Helps businesses spot unhappy customers quickly.
<pre>
import pandas as pd
from openai import OpenAI

client = OpenAI()
df = pd.read_csv("reviews.csv")

def analyze_sentiment(text):
prompt = f"Is this review positive, negative, or neutral?\n{text}"
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message.content

df["Sentiment"] = df["review"].apply(analyze_sentiment)
df.to_csv("reviews_with_sentiment.csv", index=False)
</pre>

6. AI Image Caption Generator (Vision API)

Generates captions for social media posts automatically.
<pre>
from openai import OpenAI
client = OpenAI()

def caption_image(image_path):
with open(image_path, "rb") as f:
img_data = f.read()
result = client.responses.create(
model="gpt-4o-mini",
input=[{"role": "user", "content": [{"type": "input_text", "text": "Describe this image for Instagram caption."}, {"type": "input_image", "image": img_data}]}]
)
return result.output_text

print(caption_image("photo.jpg"))
</pre>

7. AI Meeting Notes & Action Items Extractor

Turns meeting transcripts into clear summaries + to-do lists.
<pre>
from openai import OpenAI
client = OpenAI()

transcript = open("meeting.txt").read()

def summarize_meeting(transcript):
prompt = f"Summarize this meeting transcript and extract action items:\n{transcript}"
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message.content

print(summarize_meeting(transcript))
</pre>

8. AI Product Description Generator for E-Commerce

Writes SEO-rich product descriptions in seconds.
<pre>
from openai import OpenAI
client = OpenAI()

def generate_description(product_name, features):
prompt = f"Write an SEO-friendly product description for {product_name} highlighting: {features}"
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message.content

print(generate_description("Wireless Earbuds", "Noise cancelling, 8-hour battery life, waterproof"))
</pre>

9. AI Voiceover Script for Advertisements

Automates ad copywriting for voiceovers.
<pre>
from openai import OpenAI
client = OpenAI()

def create_voiceover_script(product, tone):
prompt = f"Write a 30-second voiceover script for {product} in a {tone} tone."
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message.content

print(create_voiceover_script("Smartwatch Pro X", "energetic"))
</pre>

10. Selling AI Automation as a Service

I packaged 5 of these scripts into an “AI Automation Toolkit” and sold them for $49 on Gumroad. Clients loved that they could run them without writing any code — I just provided a one-click installer.

Read the full article here: https://ai.plainenglish.io/the-ai-automation-scripts-that-pay-my-bills-beb1fe1d3c5a

The AI Automation Scripts That Pay My Bills - Revision history