AI Personalization

Accessing Personalization Settings

1. Navigate to Admin Panel

   • Click on Admin in the top navigation
   • Go to AI Configuration
   • Select Personalization

2. You'll see two main sections:

   • Basic Settings - Core identity and language configuration
   • Personality Preset - Communication style selection

Basic Settings

Configure the fundamental aspects of your AI assistant.

AI Assistant Name

Give your AI assistant a custom name that reflects your organization or brand.

Examples:

• "DevOps Assistant"
• "Company Knowledge Bot"
• "TechSupport AI"
• or maybe just "Max"

What it affects:

• How the AI introduces itself in conversations
• References to itself in responses
• User interface displays

Custom Greeting Message

Customize the initial greeting message users see when starting a new conversation.

Examples:

• "Hello! How can I help you today?"
• "Welcome to our knowledge base! What would you like to know?"
• "Hi there! I'm here to assist with your questions."
• "Guten Tag! Wie kann ich Ihnen helfen?"

What it affects:

• First message users see in a new chat
• Sets the tone for the conversation
• Can be localized for different languages

Primary Language

Default: System language (e.g., "Deutsch")

Set the default language for AI responses. The AI will primarily communicate in this language.

Available Languages:

• English
• Deutsch (German)
• Español (Spanish)
• Français (French)
• And more...

What it affects:

• Default language for all AI responses
• System messages and notifications
• Greeting messages

Personality Preset

Select a personality that best fits your organization's communication style. This affects how the AI responds to queries.

Available Personalities

🎩 Professional

Style: Formal, precise, and business-focused communication

Best for:

• Corporate environments
• Legal or financial services
• Executive communications
• Formal documentation

Response Characteristics:

• Formal tone and language
• Structured and organized responses
• Focus on accuracy and detail
• Professional terminology

Example Response:

"Based on the available documentation, the deployment procedure consists of three phases: preparation, execution, and validation. Each phase requires specific approvals and follows our established protocols."

---

😊 Friendly

Style: Warm, approachable, and conversational tone

Best for:

• General team communication
• Customer support
• Internal help desks
• Collaborative environments

Response Characteristics:

• Warm and welcoming language
• Conversational style
• Encouraging and supportive
• Easy to understand

Example Response:

"Great question! Let me help you with that. The deployment process is pretty straightforward - we basically go through three main steps, and I'll walk you through each one!"

---

⚙️ Technical

Style: Detailed, analytical, with technical depth

Best for:

• Engineering teams
• Developer documentation
• Technical support
• IT departments

Response Characteristics:

• Precise technical terminology
• In-depth explanations
• Code examples and references
• Focus on technical accuracy

Example Response:

"The deployment pipeline utilizes a three-stage CI/CD workflow: (1) Build stage executes npm run build with webpack optimization, (2) Test stage runs Jest unit tests and Cypress e2e tests, (3) Deploy stage uses Docker containerization with Kubernetes orchestration."

---

📋 Concise

Style: Brief, to-the-point responses without elaboration

Best for:

• Quick reference needs
• Mobile users
• Time-sensitive environments
• Executive summaries

Response Characteristics:

• Short, direct answers
• Bullet points preferred
• No unnecessary details
• Quick to read

Example Response:

"Deployment process: • Prepare: Check requirements • Execute: Run deployment script • Validate: Verify functionality"

---

📚 Educational

Style: Patient, explanatory, with examples and context

Best for:

• Training environments
• Onboarding new team members
• Learning resources
• Knowledge sharing

Response Characteristics:

• Step-by-step explanations
• Examples and analogies
• Context and background
• Encourages learning

Example Response:

"Let me explain the deployment process in a way that's easy to understand. Think of it like publishing a book: First, you prepare your manuscript (preparation phase), then you send it to the printer (execution phase), and finally you check that the printed books look good (validation phase). Let me break down each step..."

---

💡 Creative

Style: Innovative, thoughtful, with alternative perspectives

Best for:

• Brainstorming sessions
• Product development
• Marketing teams
• Design discussions

Response Characteristics:

• Out-of-the-box thinking
• Multiple perspectives
• Creative analogies
• Innovative suggestions

Example Response:

"Interesting! While the standard deployment follows three phases, have you considered implementing a canary deployment strategy? This could minimize risk and provide better monitoring. Another perspective: what if we automated the validation phase using AI-powered testing? Let's explore some innovative approaches..."

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Configuring Your Personality

Step 1: Review Your Organization's Needs

Consider these questions:

• Who will use the AI? Technical teams vs. general staff
• What's your company culture? Formal vs. casual
• What's the primary use case? Support, documentation, training
• What tone do you want? Professional, friendly, concise

Step 2: Select Your Personality

1. Click on the personality card that matches your needs
2. The selected personality will be highlighted
3. You'll see a checkmark (✓) on the selected card

Step 3: Test the Personality

1. Try asking some test questions in the chat
2. Evaluate if the response style fits your needs
3. Switch personalities if needed
4. Test with different types of queries

Step 4: Save Your Settings

1. Click "Save Personalization Settings"
2. Wait for the confirmation message
3. The new settings take effect immediately

Optional: Reset to Default

If you want to revert changes:

• Click "Reset to Default"
• This restores:
  • AI Assistant Name: "Junet AI"
  • Greeting Message: "Greetings!"
  • Language: System default
  • Personality: Professional

Personality Comparison

Best Practices

Matching Personality to Audience

For Technical Teams:

• Choose Technical for developers and engineers
• Provides detailed, precise information
• Uses proper terminology

For General Staff:

• Choose Friendly or Educational
• Makes information accessible
• Reduces intimidation

For Executives:

• Choose Professional or Concise
• Respects time constraints
• Maintains formality

Testing Your Configuration

After changing personality settings:

1. Test with real queries

   • Ask typical questions your users would ask
   • Verify the tone feels appropriate
   • Check response length and detail

2. Get feedback from users

   • Ask a few team members to test
   • Collect opinions on the communication style
   • Adjust if needed

3. Monitor over time

   • Track user satisfaction
   • Note any confusion or complaints
   • Refine settings based on feedback

Language Considerations

Primary Language Best Practices:

• Set to your organization's main language
• Ensure AI responses match your documentation language
• Consider your international user base

Multilingual Teams:

• Primary language sets the default
• Users can still query in their preferred language
• The AI adapts to the query language

Greeting Message Tips

Good Greeting Messages:

• ✅ "Hello! I'm your DevOps assistant. How can I help you today?"
• ✅ "Welcome! Ask me anything about our documentation."
• ✅ "Hi there! Ready to help with your questions."

Avoid:

• ❌ Too long and elaborate greetings
• ❌ Unclear or confusing messages
• ❌ Overly casual for formal environments