OpenAI AI Model Block

Customer Question → OpenAI Analyzes → Generates Helpful Response → Human Reviews → Send to Customer

Topic + Guidelines → OpenAI Generates → Draft Blog Post → Human Edits → Publish

Raw Data → OpenAI Analyzes → Insights & Trends → Generate Report → Share with Team

Coding Problem → OpenAI Understands → Generates Solution → Developer Reviews → Implement

API_Key = "sk-your-openai-api-key-here"
Model = "gpt-3.5-turbo" // Fast and cost-effective
Temperature = 0.7 // Balanced creativity
Max_Tokens = 1000 // Reasonable response length

Messages = [
  {
    "role": "user",
    "content": "{{user_question}}"
  }
]
 
// AI responds with helpful answer

Messages = [
  {
    "role": "system",
    "content": "You are a helpful customer service representative for a tech company. Be friendly, professional, and provide clear solutions."
  },
  {
    "role": "user", 
    "content": "{{customer_question}}"
  }
]

Messages = [
  {
    "role": "system",
    "content": "You are a helpful assistant."
  },
  {
    "role": "user",
    "content": "What's the capital of France?"
  },
  {
    "role": "assistant",
    "content": "The capital of France is Paris."
  },
  {
    "role": "user",
    "content": "What's the population of that city?"
  }
]
 
// AI understands "that city" refers to Paris from context

// Start with system message
Conversation = [
  {
    "role": "system",
    "content": "You are an expert {{domain}} consultant."
  }
]
 
// Add user message
Conversation.push({
  "role": "user",
  "content": "{{user_input}}"
})
 
// Get AI response and add to history
AI_Response = call_openai(Conversation)
Conversation.push({
  "role": "assistant", 
  "content": AI_Response
})

System_Message = "You are a professional content writer. Create engaging, informative blog posts with clear structure and compelling headlines."
 
User_Prompt = `Write a blog post about ${topic}. 
Target audience: ${audience}
Tone: ${tone}
Length: ${word_count} words
Include: ${key_points}`
 
// AI generates complete blog post draft

System_Message = "You are a professional business communication expert. Write clear, concise, and effective emails."
 
User_Prompt = `Write a ${email_type} email:
To: ${recipient}
Subject: ${subject}
Key message: ${main_message}
Tone: ${professional/friendly/urgent}`

System_Message = "You are a data extraction expert. Extract specific information from text and return it in structured format."
 
User_Prompt = `Extract the following information from this text:
- Name
- Email
- Phone
- Company
- Job Title
 
Text: "${input_text}"
 
Return as JSON format.`

System_Message = "You are a sentiment analysis expert. Analyze text and determine emotional tone, key themes, and overall sentiment."
 
User_Prompt = `Analyze the sentiment of this customer feedback:
"${customer_feedback}"
 
Provide:
1. Overall sentiment (Positive/Negative/Neutral)
2. Emotion level (1-10)
3. Key concerns
4. Recommended response approach`

System_Message = "You are a professional translator. Provide accurate translations that maintain context, tone, and cultural nuances."
 
User_Prompt = `Translate this text from ${source_language} to ${target_language}:
 
"${text_to_translate}"
 
Keep the same tone and style. If there are cultural references, please explain them.`

System_Message = "You are an expert editor. Improve text clarity, grammar, and style while maintaining the original meaning."
 
User_Prompt = `Please improve this text:
"${original_text}"
 
Make it:
- More professional
- Clearer and concise
- Error-free
- Engaging for ${target_audience}`

System_Message = "You are an expert programmer. Write clean, efficient, well-commented code that follows best practices."
 
User_Prompt = `Create a ${programming_language} function that:
${requirements}
 
Requirements:
- ${requirement_1}
- ${requirement_2}
- Include error handling
- Add comments explaining the logic`

System_Message = "You are a debugging expert. Analyze code, identify issues, and provide clear solutions with explanations."
 
User_Prompt = `Debug this ${programming_language} code:
 
\`\`\`${programming_language}
${code_with_error}
\`\`\`
 
Error message: "${error_message}"
 
Please:
1. Identify the problem
2. Explain why it's happening
3. Provide the corrected code
4. Suggest how to prevent similar issues`

Messages = [
  {
    "role": "user",
    "content": [
      {
        "type": "text",
        "text": "What's in this image? Describe it in detail."
      },
      {
        "type": "image_url",
        "image_url": {
          "url": "{{image_url}}"
        }
      }
    ]
  }
]
 
Model = "gpt-4-vision-preview"

User_Message = `Analyze this product image and description:
 
Image: {{product_image_url}}
 
Description: "{{product_description}}"
 
Please provide:
1. What you see in the image
2. How well the image matches the description
3. Suggestions for improvement
4. Marketing angle recommendations`

Settings = {
  "model": "gpt-4",
  "temperature": 1.2, // More creative and varied
  "top_p": 0.9,
  "frequency_penalty": 0.5 // Avoid repetition
}

Settings = {
  "model": "gpt-4",
  "temperature": 0.2, // More focused and consistent
  "top_p": 0.8,
  "presence_penalty": 0.1
}

Functions = [
  {
    "name": "extract_contact_info",
    "description": "Extract contact information from text",
    "parameters": {
      "type": "object",
      "properties": {
        "name": {"type": "string"},
        "email": {"type": "string"},
        "phone": {"type": "string"},
        "company": {"type": "string"}
      }
    }
  }
]
 
// AI will call function with extracted data

System_Message = `You are a helpful customer support agent for ${company_name}. 
- Be friendly and professional
- Provide accurate information about our products/services
- If you don't know something, offer to connect them with a human agent
- Always ask if there's anything else you can help with`
 
User_Input = "{{customer_question}}"
 
// AI generates contextual support response

System_Message = "You are an expert at creating clear, concise summaries. Extract the key points and present them in an easy-to-understand format."
 
User_Prompt = `Summarize this ${content_type}:
 
"${long_content}"
 
Please provide:
1. Main points (3-5 bullet points)
2. Key takeaways
3. Action items (if any)
4. Target audience: ${audience}`

System_Message = "You are a creative writing assistant. Help generate engaging, original content that captures the reader's attention."
 
User_Prompt = `Write a ${content_type} about ${topic}:
- Style: ${writing_style}
- Tone: ${tone}
- Length: ${length}
- Target audience: ${audience}
- Key message: ${main_message}`

System_Message = "You are a data analyst expert. Transform raw data into actionable insights and clear recommendations."
 
User_Prompt = `Analyze this data and provide insights:
 
Data: ${data_summary}
 
Please provide:
1. Key trends and patterns
2. Notable findings
3. Business implications
4. Recommended actions
5. Areas for further investigation`