Prompt Examples
This guide provides practical, tested prompt examples for various AI agent use cases. These examples are based on the suggested messages and prompts visible in the agent configuration interface.Knowledge Base Agents
Based on the initial suggested messages shown in the configuration interface, knowledge base agents commonly use these prompt patterns:
Core Knowledge Base Prompts
The interface shows these fundamental knowledge base prompts:-
“Give me a summary of this knowledge base”
- Perfect for users who want an overview
- Helps users understand what information is available
- Provides a starting point for deeper exploration
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“Can you provide an overview of the main topics covered here?”
- More structured than a simple summary
- Organizes information by topic areas
- Good for users who want to navigate to specific areas
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“What categories or sections does this knowledge base cover?”
- Provides organizational structure
- Helps users understand how information is categorized
- Useful for systematic exploration
Extended Knowledge Base Prompts
Building on the core patterns shown in the interface:System Prompt Templates
Knowledge Base Agent System Prompt
Based on the context instruction shown in the interface (“Use the following pieces of context to answer the question at the end”):Customer Support Agent System Prompt
Sales Assistant System Prompt
Industry-Specific Examples
Healthcare Assistant
Technical Support Examples
Educational Content Assistant
Conversational Flow Examples
Opening Conversation Patterns
Based on the ”👋 Hi, how can I help you?” pattern shown in the interface:Clarification Prompts
When users need guidance:Transition Prompts
Moving between topics smoothly:Voice-Optimized Prompts
For voice-enabled agents, prompts should be conversational and natural:
Voice-First System Prompt
Voice User Prompts
Form Integration Prompts
For agents with data collection capabilities:
Lead Qualification Prompts
Data Collection Flow
Multi-Modal Integration
Scene-Specific Prompts
Different visual environments may call for different conversational styles:
Testing Your Prompts
Evaluation Criteria
When testing prompts, consider:- Clarity: Do users understand what the agent can do?
- Engagement: Do the prompts encourage interaction?
- Relevance: Are suggested prompts appropriate for the use case?
- Flow: Do conversations progress naturally?
- Completeness: Do responses satisfy user needs?
