Checkpoint 3/6 — Agents
Once your knowledge sources are set up, the next step is to create your AI agents, envisioned as your virtual AI employees or assistants. Let's walk through the essential steps to establish and enhance these AI companions efficiently.
4 Essential Steps
Step 1: Naming Your Agent
To give your AI agent an identity, start by assigning a name or any unique identifier. This helps you easily distinguish and communicate with your agent.
Step 2: Providing Agent Background & Desired Format
Define your agent's role and responsibilities by outlining its background, akin to a job description. Specify who the agent is, its tasks, how it operates, and insights from your knowledge that can aid its performance. You can also specify the desired format for the agent's responses to ensure consistency.
Step 3: Linking Knowledge Sources
Equip your AI agents with contextual information by connecting them to internal or external knowledge sources previously uploaded. This enables them to execute tasks effectively using relevant data.
Step 4: Selecting LLM Model
Choose the appropriate Large Language Model (LLM) that will power your AI agent. Different models offer varying capabilities and strengths:
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Each model has specific strengths for different types of tasks
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Models consume different amounts of credits per usage
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Consider the balance between performance needs and credit consumption
Advanced Options
MindPal offers advanced features to enhance the capabilities of your AI agents, making them even more powerful:
Tools for Extra Capabilities
Expand your AI agent's capabilities beyond text responses by incorporating various tools:
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Image generation
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Audio production
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Mind map creation
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Screenshot capture
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Custom tool integration through API definitions
You can integrate these tools to enable your agents to perform more complex and diverse tasks.
Styles for Unique Responses
Tailor your agent's responses to match specific styles, such as mimicking your voice or company's tone.
Training Examples for Continuous Improvement
Provide quality examples for your AI agents to learn from, improving their performance over time by remembering successful interactions.
Leveraging Templates and AI Generation
To expedite the agent-building process, you can leverage templates prepared by our team or shared by our community. You can also use our feature "Generate with AI" to generate a draft agent based on your defined requirements then iterate on it.
Working with Your AI Agents
Now that your AI agents are ready, you can work with them through the chat interface. Simply summon your agent, assign tasks, and converse to resolve the tasks efficiently.
Chatting with your AI agents is just the beginning. In the upcoming posts, we'll take a look at more advanced ways to work with your AI agents to make the most out of them.