BrandVox AI Documentation
Support BV

AI Settings

Configure AI behavior and response parameters for your Support BV

AI Settings

Configure how your Support BV processes inquiries and generates responses. These settings control the AI's accuracy, creativity, and decision-making.

Advanced Feature

Start with recommended defaults and adjust based on your specific needs and customer feedback.

Quick Setup

Access AI Settings

Navigate to Support BV > AI Settings tab.

Choose AI Model

Select the model that best fits your requirements and budget.

Adjust Temperature

Set creativity level based on your use case.

AI Model Selection

Choose from multiple AI providers and models:

Google

  • Gemini 2.5 Flash - Fast, efficient (1 credit/message)
  • Gemini 2.5 Pro - Advanced capabilities (2 credits/message)

OpenAI

  • GPT-5 Mini - Cost-effective (1 credit/message)
  • GPT-5 - Powerful performance (2 credits/message)
  • GPT-5 Chat - Optimized for conversations (2 credits/message)

Anthropic

  • Claude 4 Sonnet - Balanced performance (5 credits/message)
  • Claude 4 Opus - Maximum capability (5 credits/message)

xAI

  • Grok 3 Mini - Efficient (1 credit/message)
  • Grok 4 - Advanced (5 credits/message)

Credits

Credits indicate resource usage. More powerful models consume more credits from your monthly quota.

Core Parameters

Temperature

Controls response creativity and variation.

SettingValueWhen to UseBehavior
Precise0.0-0.3Factual info, policiesConsistent, focused
Balanced0.4-0.6General supportMix of consistency and variety
Creative0.7-1.0Marketing, engagementVaried, expressive

Example - Low Temperature (0.2):

"Our return policy allows returns within 30 days. Items must be unused in original packaging. Refunds process in 5-7 days."

Example - High Temperature (0.8):

"Great question! We offer a hassle-free 30-day return window. As long as items are in original condition, we'll process your refund within about a week. Easy peasy!"

High Temperature Warning

Values above 0.7 may produce unexpected or less accurate answers. Test thoroughly before using.

Response Length

OptionWordsBest For
Short50-100Quick answers, mobile
Medium100-200Most use cases (recommended)
Long200-300Complex explanations
VariableAdaptiveDiverse question types

Confidence Threshold

Minimum confidence required before answering (vs. escalating to human):

SettingThresholdBehavior
Low40-60%Answer most questions, rare escalations
Medium60-75%Balance accuracy and coverage (recommended)
High75-90%High-confidence answers only

Conversation Memory

How much conversation history the AI remembers:

SettingMessagesBest For
Short2-3Simple, independent questions
Medium5-7Multi-turn conversations (recommended)
Long10-15Complex support sessions
Full SessionAllDeep troubleshooting

Answer Strategy

Best for: Experienced customers, quick facts

Example:

Customer: "What are your hours?"

Response: "Monday-Friday 9 AM to 6 PM EST, Saturday 10 AM to 4 PM EST."

Best for: General customer support (recommended)

Example:

Customer: "What are your hours?"

Response: "Happy to help! We're open Monday-Friday 9 AM to 6 PM EST, and Saturdays 10 AM to 4 PM EST."

Best for: Complex products, personalized recommendations

Example:

Customer: "Which plan should I get?"

Response: "I'd be happy to help you choose! How many team members will be using it?"

Best for: Complex topics, first-time users

Example:

Customer: "How does auto-renewal work?"

Response: "Auto-renewal ensures uninterrupted service. Your subscription automatically renews at the end of each billing period using your saved payment method. You'll get a reminder 7 days before renewal."

Escalation Rules

Define when conversations transfer to humans:

Triggers:

  • Low confidence (below threshold)
  • Customer requests human
  • Sensitive topics (complaints, refunds)
  • Negative sentiment detected
  • After X messages without resolution

E-commerce

  • Temperature: 0.5-0.6
  • Response Length: Short-Medium
  • Confidence: 65%
  • Focus: Speed

B2B/Enterprise

  • Temperature: 0.3-0.4
  • Response Length: Medium-Long
  • Confidence: 75%
  • Focus: Accuracy

Technical Support

  • Temperature: 0.2-0.3
  • Response Length: Long
  • Confidence: 80%
  • Strategy: Educational

General Customer Service

  • Temperature: 0.5
  • Response Length: Medium
  • Confidence: 65%
  • Strategy: Conversational

Best Practices

Start Conservative

  1. Begin with recommended defaults
  2. Monitor performance for 1-2 weeks
  3. Make one adjustment at a time
  4. Measure impact before next change

Monitor Escalation Rates

Ideal: 10-20%

  • Too low (<5%): May risk inaccurate answers
  • Too high (>30%): Underutilizing AI capabilities

Regular Updates

  • Add new FAQ content monthly
  • Update product information when changed
  • Refine based on conversation patterns
  • Remove outdated information

Troubleshooting

Next Steps