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AI Assistant

Table of Contents

  1. Understanding the AI Assistant
  2. Accessing the AI Assistant
  3. What You Can Ask
  4. Ask AI Links Throughout the Platform
  5. Asking Questions Effectively
  6. Getting Help with Configuration
  7. Analyzing Your Data
  8. Troubleshooting with AI
  9. AI Assistant Capabilities
  10. Best Practices

Understanding the AI Assistant

The AI Assistant is a built-in helper that can answer questions, provide guidance, and help you get more from the platform.

What the AI Assistant Does

Answers Questions: Ask about platform features, best practices, or how to accomplish tasks. Provides Guidance: Get recommendations for configuration, strategy, and optimization. Explains Concepts: Understand metrics, features, and how things work. Offers Suggestions: Receive ideas for improving your AI employee operations.

How It Helps

The AI Assistant is like having an expert available at all times:
  • No need to search through documentation
  • Context-aware responses based on your situation
  • Personalized recommendations for your use case
  • Available whenever you need help

Accessing the AI Assistant

There are multiple ways to interact with the AI Assistant.

Chat Panel

Access the main chat interface:
  • Click the AI Assistant icon in the interface
  • Opens a chat panel for conversation
  • Maintains conversation history
  • Available throughout the platform
Contextual links appear throughout the platform:
  • Labeled “Ask AI” with a sparkle icon
  • Pre-configured with relevant prompts
  • Opens assistant with context about what you are viewing

Command Menu

Quick access through keyboard:
  • Open command menu (typically Cmd+K or Ctrl+K)
  • Search for “Ask AI” or specific topics
  • Navigate directly to assistance

What You Can Ask

The AI Assistant can help with many topics.

Platform Features

Learn about what the platform offers:
  • “What can AI employees do?”
  • “How does calendar integration work?”
  • “What are custom properties used for?”

How-To Questions

Get step-by-step guidance:
  • “How do I create a new AI employee?”
  • “How do I set up a campaign?”
  • “How do I configure voicemail detection?”

Best Practices

Learn recommended approaches:
  • “What are best practices for writing system prompts?”
  • “How should I structure my contact properties?”
  • “What makes a successful outbound campaign?”

Troubleshooting

Get help with issues:
  • “Why are my calls failing?”
  • “Why is my success rate low?”
  • “What could cause this error?”

Data Analysis

Understand your metrics:
  • “What does my success rate indicate?”
  • “How can I improve my campaign performance?”
  • “What patterns do you see in my call data?”

Contextual “Ask AI” links appear in strategic locations.

On Empty States

When sections have no data yet:
  • Guidance on how to get started
  • Explanations of what the feature does
  • Recommendations for first steps

On Metrics

Next to performance indicators:
  • Explain what the metric means
  • Suggest improvements
  • Provide context for interpretation

In Settings

Within configuration areas:
  • Help designing properties
  • Suggest evaluation criteria
  • Guide configuration decisions

In Lists

When viewing contacts, conversations, or campaigns:
  • Analyze patterns in data
  • Suggest segmentation strategies
  • Identify opportunities

Common Ask AI Prompts

Pre-configured prompts address common needs:
  • “Help me understand what AI employees are…”
  • “Explain how calendar integration works…”
  • “Help me design custom properties…”
  • “Analyze my success rate…”

Asking Questions Effectively

Get better answers by asking clear questions.

Be Specific

Instead of: “Help me with AI employees” Ask: “How do I configure my AI employee’s greeting message to sound professional?”

Provide Context

Include relevant details:
  • What you are trying to accomplish
  • What you have already tried
  • Specific error messages or issues

Ask One Thing at a Time

Break complex questions into parts:
  • First ask about the concept
  • Then ask about implementation
  • Finally ask for optimization tips

Examples of Good Questions

“I have a sales AI employee that handles inbound calls. Callers often ask about pricing, but the AI does not have accurate information. How should I configure the system prompt to handle pricing questions appropriately?” “My outbound campaign has a 15% success rate. What factors typically affect campaign success rates, and what should I look at to improve mine?” “I want to set up an evaluation criterion that checks if my AI employees are asking for callback numbers. How should I write the prompt for this criterion?”

Getting Help with Configuration

Use the AI Assistant to guide your setup.

System Prompt Design

Get help writing effective prompts:
  • Describe your use case
  • Receive prompt suggestions
  • Iterate on improvements

Property Planning

Design your custom properties:
  • Explain what you want to track
  • Get suggestions for property types
  • Receive naming recommendations

Evaluation Criteria

Create effective evaluation criteria:
  • Describe what quality means for you
  • Receive prompt suggestions
  • Understand how to measure success

Integration Setup

Get guidance on integrations:
  • Understand how integrations work
  • Troubleshoot connection issues
  • Learn best practices

Analyzing Your Data

Use the AI Assistant to understand your metrics.

Performance Analysis

Ask about your results:
  • “What does my success rate indicate?”
  • “How does my performance compare to typical benchmarks?”
  • “What trends do you see in my data?”

Issue Identification

Find problem areas:
  • “Why might calls be failing?”
  • “What could cause low answer rates?”
  • “Which AI employees might need attention?”

Optimization Suggestions

Get improvement ideas:
  • “How can I improve my campaign performance?”
  • “What changes might increase my success rate?”
  • “What should I focus on to get better results?”

Pattern Recognition

Understand your data patterns:
  • “What patterns do you see in my call times?”
  • “Are there trends in my conversation durations?”
  • “Which days perform best for outbound calls?”

Troubleshooting with AI

Get help solving problems.

Describing Issues

When reporting problems:
  • Explain what you expected to happen
  • Describe what actually happened
  • Include any error messages

Common Troubleshooting Topics

Call issues: Why calls fail, poor audio quality, unexpected behavior. Configuration issues: Settings not working as expected, features not appearing. Integration issues: Calendar not connecting, webhooks not delivering. Campaign issues: Low performance, unexpected outcomes.

Step-by-Step Guidance

The AI Assistant can walk you through:
  • Diagnostic steps
  • Configuration checks
  • Solution implementation
  • Verification testing

AI Assistant Capabilities

Understand what the assistant can and cannot do.

Can Do

Answer questions: About platform features and concepts. Provide guidance: Best practices and recommendations. Explain things: How features work and why. Suggest solutions: For common problems and optimization. Analyze data: Interpret your metrics and patterns.

Cannot Do

Make changes: The assistant cannot modify your configuration directly. Access external data: Only knows about the platform and general knowledge. Guarantee outcomes: Recommendations are suggestions, not guarantees. Replace human judgment: Final decisions should be yours.

Getting the Most Value

Use the assistant effectively:
  • Ask clear, specific questions
  • Implement suggestions thoughtfully
  • Iterate based on results
  • Combine AI guidance with your business knowledge

Best Practices

When available, use the “Ask AI” links:
  • Pre-configured with relevant context
  • Faster than typing questions
  • Targeted to your current situation

Start Simple

Begin with basic questions:
  • Understand concepts first
  • Then dive into specifics
  • Build knowledge incrementally

Apply and Test

When you receive suggestions:
  • Implement in a controlled way
  • Test the changes
  • Measure results
  • Adjust as needed

Return for Follow-Up

Continue conversations:
  • Ask follow-up questions
  • Report what happened
  • Get additional guidance

Combine Sources

The AI Assistant complements other resources:
  • Documentation for detailed reference
  • Support for complex issues
  • Community for user perspectives
  • AI Assistant for quick guidance

Share Insights

When you learn something useful:
  • Document it for your team
  • Apply it across your operations
  • Build organizational knowledge

Summary

The AI Assistant is your always-available guide to getting more from the platform. By asking clear questions, leveraging contextual “Ask AI” links, and applying suggestions thoughtfully, you can accelerate your learning, solve problems faster, and optimize your AI employee operations. Remember that the assistant is a tool to enhance your decision-making, not replace it. Combine AI guidance with your business knowledge and judgment for the best results.