THE AIGNOSTIC

Automatic AI Author (AAA) for WordPress

Written by

Thomas

in

, ,

Create and post content without human intervention

Say you had a blog on any topic and wanted AI (OpenAi, xAi) to automatically write or translate existing content for you and post it directly to your WordPress website.

  1. Add user to WordPress with Application Password
    After adding a new User (or use an existing one) set an application password in WordPress (Users -> Edit User) 
# RSS_AI_Wordpress

import requests
import json
import base64 
from _AI_Writer import get_news_response
response = get_news_response("What are the main headlines today?")

# WordPress API endpoint
url = "https://YOURWEBSITE.com/wp-json/wp/v2/posts"

# Authentication credentials
user = "BOT"
password = "YOUR_APPLICATION_PASSWORT_MATE"
credentials = user + ':' + password
token = base64.b64encode(credentials.encode())
header = {
    'Authorization': 'Basic ' + token.decode('utf-8'),
    'Content-Type': 'application/json; charset=utf-8',
    'Accept': 'application/json, */*',
    'User-Agent': 'Python/RequestsClient'
}

# Post content to WordPress
post = {
    'title': 'AI BOT - Daily News',
    'content': response,
    'status': 'publish',
}

# Send POST request with verify=False to debug SSL issues
response = requests.post(url, headers=header, json=post, verify=True)

# Check if the request was successful
if response.status_code == 201:  # 201 is the success code for creation
    print("Post created successfully!")
    #print(response.json())
else:
    print(f"Error: {response.status_code}")
    print(response.text)

This code posts automatically to your WordPress blog. The actual content (stored in “response”) we retrieve from a module called _AI_Writer.

2. Writing Content with Your AI Writer Bot

Our AI writer module fetches an RSS Feed (Google News in our case; bur could be any website or feed) and writes a short blog post in his own words on today’s news. This gets posted directly to our blog (see code above).

# _AI_Writer.py

import os
from openai import OpenAI
import feedparser

XAI_API_KEY = "YOUR_XAI_KEY_HERE"
client = OpenAI(
    api_key=XAI_API_KEY,
    base_url="https://api.x.ai/v1",
)

def chat_with_gpt(prompt):
    response = client.chat.completions.create(
        model = "grok-beta",
        messages=[{"role": "user", "content": prompt}],
        #temperature = 0.8,
    )
    return response.choices[0].message.content.strip()

def get_rss_feed(url):
    """Fetch and parse RSS feed from given URL"""
    feed = feedparser.parse(url)
    return feed

def get_feed_entries(feed, limit=10):
    """Extract entries from feed, with optional limit"""
    entries = []
    for entry in feed.entries[:limit]:
        entries.append({
            'title': entry.get('title', ''),
            'link': entry.get('link', ''),
            'published': entry.get('published', ''),
            'summary': entry.get('summary', '')
        })
    return entries

def get_news_response(user_input):
    """Get AI response based on RSS feed news and user input"""
    rss_url = "https://news.google.com/news/rss"
    feed = get_rss_feed(rss_url)
    entries = get_feed_entries(feed)
    
    prompt = f"""Here are the latest news entries. {user_input}

{[entry['title'] + ': ' + entry['summary'] for entry in entries]}"""
    
    return chat_with_gpt(prompt)

# Modified main block for testing
if __name__ == "__main__":
    # Test the module
    response = get_news_response("Please provide a brief summary")
    print("Test response:", response)

Like all AI workflows this offers a plethora of use cases

You could have it fill a website with articles without ever touching said website. Or maybe translate content of one website and repost content on another.

Or maybe – if you are evil – scale this x 1000 and fill hundreds of websites with your propaganda. Unfortunately this is all too easy.

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