# Best practices for AI-generated WordPress content

1. Human oversight required
   - Review all AI content before publishing
   - Edit for accuracy, tone, and brand voice
   - Add human expertise and insights

2. Disclosure when appropriate
   - Consider adding AI disclosure for transparency
   - Follow FTC guidelines for automated content

3. Quality over quantity
   - Don't publish low-quality AI content at scale
   - Maintain editorial standards

4. Respect copyrights
   - Don't train on or reproduce copyrighted material
   - Verify AI output is original

5. Value to readers
   - Ensure content serves reader needs
   - Provide genuine value, not just SEO filler

# Install dependencies
pip install anthropic

# Set API key
export ANTHROPIC_API_KEY="your-api-key-here"

# Test connection
python -c "import anthropic; client = anthropic.Anthropic(); print('Connected')"

#!/usr/bin/env python3
# generate-with-claude.py

import anthropic
import sys
import os

def generate_article(topic, target_words=1000):
    client = anthropic.Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))

    prompt = f"""Write a {target_words}-word informative blog post about: {topic}

Include:
- Engaging introduction
- 3-5 main sections with H2 headings
- Practical examples
- Conclusion with key takeaways

Format in markdown."""

    message = client.messages.create(
        model="claude-3-5-sonnet-20241022",
        max_tokens=4096,
        messages=[
            {"role": "user", "content": prompt}
        ]
    )

    return message.content[0].text

if __name__ == "__main__":
    topic = sys.argv[1] if len(sys.argv) > 1 else "WordPress automation"

    print(generate_article(topic))

python generate-with-claude.py "WP-CLI best practices" > article.md

#!/bin/bash
# ai-to-wordpress.sh - Generate and publish AI content

TOPIC="$1"
CATEGORY_ID="${2:-1}"

if [ -z "$TOPIC" ]; then
    echo "Usage: $0 <topic> [category_id]"
    exit 1
fi

echo "Generating content for: $TOPIC"

# Generate content with Claude
CONTENT=$(python generate-with-claude.py "$TOPIC")

# Create WordPress post as draft for review
POST_ID=$(wp post create \
    --post_title="$TOPIC" \
    --post_content="$CONTENT" \
    --post_status=draft \
    --post_category=$CATEGORY_ID \
    --porcelain)

echo "✓ Draft created: Post ID $POST_ID"
echo "Review at: $(wp option get siteurl)/wp-admin/post.php?post=$POST_ID&action=edit"

# Install OpenAI library
pip install openai

# Set API key
export OPENAI_API_KEY="your-api-key-here"

#!/usr/bin/env python3
# generate-with-openai.py

from openai import OpenAI
import sys
import os

def generate_article(topic, model="gpt-4"):
    client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))

    response = client.chat.completions.create(
        model=model,
        messages=[
            {"role": "system", "content": "You are a professional content writer creating high-quality WordPress blog posts."},
            {"role": "user", "content": f"Write a comprehensive 1000-word blog post about: {topic}. Include clear headings, practical examples, and actionable takeaways. Format in markdown."}
        ],
        temperature=0.7,
        max_tokens=2000
    )

    return response.choices[0].message.content

if __name__ == "__main__":
    topic = sys.argv[1] if len(sys.argv) > 1 else "WordPress development"
    print(generate_article(topic))

#!/bin/bash
# batch-generate-content.sh - Generate multiple posts

TOPICS_FILE="$1"

if [ ! -f "$TOPICS_FILE" ]; then
    echo "Usage: $0 <topics-file>"
    echo "Topics file should contain one topic per line"
    exit 1
fi

while read -r TOPIC; do
    echo "Generating: $TOPIC"

    # Generate content
    CONTENT=$(python generate-with-claude.py "$TOPIC")

    # Create draft post
    POST_ID=$(wp post create \
        --post_title="$TOPIC" \
        --post_content="$CONTENT" \
        --post_status=draft \
        --porcelain)

    echo "✓ Created draft: $POST_ID"

    # Rate limiting
    sleep 2
done < "$TOPICS_FILE"

echo "✓ Batch generation complete"

#!/usr/bin/env python3
# optimize-for-seo.py

import anthropic
import sys
import os

def optimize_content(original_content, focus_keyword):
    client = anthropic.Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))

    prompt = f"""Optimize this content for SEO targeting the keyword: {focus_keyword}

Original content:
{original_content}

Improve:
- Keyword density (natural placement)
- Meta description suggestion
- H2/H3 headings with keyword variations
- Internal linking opportunities

Provide the optimized version."""

    message = client.messages.create(
        model="claude-3-5-sonnet-20241022",
        max_tokens=4096,
        messages=[{"role": "user", "content": prompt}]
    )

    return message.content[0].text

if __name__ == "__main__":
    if len(sys.argv) < 3:
        print("Usage: optimize-for-seo.py <post_id> <focus_keyword>")
        sys.exit(1)

    post_id = sys.argv[1]
    keyword = sys.argv[2]

    # Get original content (would use wp-cli here)
    content = sys.stdin.read()

    print(optimize_content(content, keyword))

#!/bin/bash
# expand-content.sh - Expand short posts with AI

MIN_WORDS=300
TARGET_WORDS=1000

# Find short posts
SHORT_POSTS=$(wp post list \
    --post_status=publish \
    --format=ids \
    --fields=ID,post_content \
    | while read POST_ID; do
        WORD_COUNT=$(wp post get $POST_ID --field=post_content | wc -w)
        if [ "$WORD_COUNT" -lt "$MIN_WORDS" ]; then
            echo "$POST_ID"
        fi
    done)

for POST_ID in $SHORT_POSTS; do
    echo "Expanding post: $POST_ID"

    TITLE=$(wp post get $POST_ID --field=post_title)
    CONTENT=$(wp post get $POST_ID --field=post_content)

    # Generate expanded version
    EXPANDED=$(python -c "
import anthropic, os
client = anthropic.Anthropic(api_key=os.environ.get('ANTHROPIC_API_KEY'))
message = client.messages.create(
    model='claude-3-5-sonnet-20241022',
    max_tokens=2048,
    messages=[{
        'role': 'user',
        'content': f'''Expand this article to approximately $TARGET_WORDS words while maintaining quality:

Title: $TITLE

Current content:
$CONTENT

Add more detail, examples, and value while staying on topic.'''
    }]
)
print(message.content[0].text)
")

    # Save as revision (create new draft for review)
    wp post create \
        --post_title="$TITLE (Expanded)" \
        --post_content="$EXPANDED" \
        --post_status=draft

    echo "✓ Expanded version created for review"
done

#!/bin/bash
# daily-ai-content.sh - Generate and publish content daily

TOPICS=(
    "WordPress security best practices"
    "WP-CLI productivity tips"
    "WordPress performance optimization"
    "Content management automation"
)

# Select random topic
TOPIC="${TOPICS[$RANDOM % ${#TOPICS[@]}]}"

echo "Generating daily content: $TOPIC"

# Generate with AI
CONTENT=$(python generate-with-claude.py "$TOPIC")

# Add disclaimer
DISCLAIMER="<em>Note: This article was generated with AI assistance and reviewed by our editorial team.</em>"

FULL_CONTENT="${CONTENT}


${DISCLAIMER}"

# Create post
POST_ID=$(wp post create \
    --post_title="$TOPIC" \
    --post_content="$FULL_CONTENT" \
    --post_status=draft \
    --post_category=5 \
    --tags_input="ai-generated,automation" \
    --porcelain)

# Set featured image (from Unsplash API - separate integration)
# Add meta fields for tracking
wp post meta add $POST_ID ai_generated "true"
wp post meta add $POST_ID generation_date "$(date +%Y-%m-%d)"

echo "✓ Draft created: $POST_ID"
echo "Review and publish at: $(wp option get siteurl)/wp-admin/post.php?post=$POST_ID&action=edit"

# Run daily at 8 AM
0 8 * * * /usr/local/bin/daily-ai-content.sh

#!/usr/bin/env python3
# translate-post.py - Translate WordPress posts with AI

import anthropic
import sys
import os

def translate_content(content, target_language):
    client = anthropic.Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))

    message = client.messages.create(
        model="claude-3-5-sonnet-20241022",
        max_tokens=4096,
        messages=[{
            "role": "user",
            "content": f"Translate this content to {target_language}. Maintain formatting and structure:\n\n{content}"
        }]
    )

    return message.content[0].text

if __name__ == "__main__":
    if len(sys.argv) < 3:
        print("Usage: translate-post.py <post_id> <language>")
        sys.exit(1)

    post_id = sys.argv[1]
    language = sys.argv[2]

    # Read from stdin
    content = sys.stdin.read()

    print(translate_content(content, language))

# Translate post to Spanish
wp post get 123 --field=post_content | python translate-post.py 123 "Spanish" | \
wp post create --post_title="Translated Post" --post_content=-

#!/bin/bash
# review-ai-content.sh - Quality check for AI posts

POST_ID="$1"

echo "Reviewing AI-generated post: $POST_ID"

# Check word count
WORD_COUNT=$(wp post get $POST_ID --field=post_content | wc -w)
echo "Word count: $WORD_COUNT"

if [ "$WORD_COUNT" -lt 300 ]; then
    echo "⚠ Content too short"
fi

# Check for common AI phrases
CONTENT=$(wp post get $POST_ID --field=post_content)

AI_PHRASES=(
    "as an AI"
    "I don't have"
    "I cannot"
    "my knowledge cutoff"
)

for PHRASE in "${AI_PHRASES[@]}"; do
    if echo "$CONTENT" | grep -qi "$PHRASE"; then
        echo "⚠ Found AI artifact: '$PHRASE'"
    fi
done

# Check readability
TITLE=$(wp post get $POST_ID --field=post_title)
if [ ${#TITLE} -gt 60 ]; then
    echo "⚠ Title too long for SEO"
fi

# Check for images
IMAGE_COUNT=$(echo "$CONTENT" | grep -c '<img')
if [ "$IMAGE_COUNT" -eq 0 ]; then
    echo "⚠ No images in content"
fi

echo "✓ Review complete"

#!/bin/bash
# track-ai-costs.sh

LOG_FILE="/var/log/ai-content-costs.log"

log_generation() {
    local model="$1"
    local tokens="$2"
    local cost="$3"

    echo "$(date +%Y-%m-%d),$(date +%H:%M:%S),$model,$tokens,$cost" >> "$LOG_FILE"
}

# After each generation
log_generation "claude-3-sonnet" "2048" "0.06"

# Monthly report
generate_cost_report() {
    echo "AI Content Generation Cost Report"
    echo "Month: $(date +%Y-%m)"
    echo "=================================="

    TOTAL_COST=$(awk -F',' '{sum += $5} END {print sum}' "$LOG_FILE")
    TOTAL_POSTS=$(wc -l < "$LOG_FILE")

    echo "Total generations: $TOTAL_POSTS"
    echo "Total cost: \$$TOTAL_COST"
    echo "Average per post: \$$(echo "scale=2; $TOTAL_COST / $TOTAL_POSTS" | bc)"
}