Prompts define how your AI agent behaves and communicates. Kakiyo uses a two-layer prompt system that gives you complete control over conversation style and strategy.
Two-Layer Prompt System
Context Prompt
Defines your AI agent's behavior, personality, and conversation strategy.
Includes:
Agent's role and personality
Conversation goals and objectives
Tone and communication style
Limits and boundaries
Fallback behaviors and responses
First Message Prompt
Defines how conversations are opened after connection acceptance.
Includes:
Opening message structure
Value proposition delivery
Personalization approach
Call-to-action strategy
Variable System
Variables allow you to reuse prompts across multiple campaigns and agents with different parameters.
Required Variables
Must be configured for every campaign:
Prospect Description: All prospect information for personalization
Offering Description: Knowledge about what you're selling
Important: you don't need to enter a value for those variables, just place them somewhere in one of your 2 prompts and let the AI Agent fill them for you.
Optional Variables
Pre-defined variables for common use cases:
Agent Name: Name the AI should use in conversations
Company: Your company name for the campaign
Prospect Name: How to address prospects
Custom Variables
Create your own variables for specific needs:
Goal: Different objectives for different campaigns
Industry: Specific messaging for different sectors
Custom messaging: Any other variable content you need
Example usage: You want to use the same prompt in 2 different campaigns.
Instead of writing "Your objective is to book a meeting" in the prompt, use "Your objective is to {{goal}}" and set Goal = "book a meeting" in Campaign 1 and Goal = "visit my website" in Campaign 2.
AI Model Selection
Kakiyo offers access to all major AI models from leading providers:
Available Models:
Anthropic Models: All Claude models (Sonnet and Opus)
OpenAI Models: All GPT models (ChatGPT series)
Grok Models: All X AI models
Google Models: All Gemini models
Current Recommendation: As of today (July 15th, 2025), Claude Sonnet 4 offers the best efficiency-to-cost ratio for most use cases.
Important: The best-performing model changes approximately every 2-3 months as new models are released and improved. What's optimal today may not be optimal in the future.
Credit System
Credits are consumed only when the AI agent sends messages during conversations. No credits are used for setup, testing, or other platform activities.
Credit consumption is per message and depends on:
AI model selected: Different models have different costs
Prompt size: Length and complexity of your prompts
Message length: Length of the AI-generated response
Variable consumption: Credit usage varies significantly per message depending on these factors. There's no fixed rate as it depends entirely on your specific configuration and conversation context.
Writing Effective Prompts
Best Practices
Define clear goals: Specify exactly what you want the AI to achieve
Set boundaries: Define what the AI should and shouldn't do
Match your tone: Write in the style you want the AI to use
Include fallback instructions: Tell the AI how to handle unexpected situations
Use proper formatting: Structure prompts clearly with sections
Testing and Optimization
Use the Sandbox: Test prompt effectiveness before launching campaigns
Iterate based on results: Refine prompts based on conversation performance
Monitor conversations: Review actual AI responses and adjust accordingly
Starting Point
Kakiyo provides a default prompt template that achieves ~30-40% reply rates. Use this as your foundation and customize based on your specific needs and target audience.
Important: Advanced users who master prompt engineering can achieve 55-70% reply rates through sophisticated targeting and messaging strategies.
Well-crafted prompts are essential for successful AI conversations. Start with the default template and refine based on your specific audience and goals.