Build Your AI Agents Starting with a Dashboard
A dashboard that enables data flow forms the foundation of your AI agents.
1Getting Started with AI Agents
You can purchase ready-made solutions to start with AI agents. However, if you want to build your own, starting with a simple dashboard is an effective method. This approach ensures data flow and forms the foundation of the agent.
2Advantages of Starting with a Dashboard
When building AI agents, starting with a dashboard first ensures data structuring. This is necessary for the agent to perform functions like personalization and triggering. The dashboard is a foundational structure for the agent.
3QBee's Development Process
QBee started as SaaStr's AI VP of Customer Success. Initially designed as a simple dashboard, it tracked sponsors' tasks. Over time, as data flow was established, the agent's capabilities expanded, reducing human hours in customer management by 70%.
4Dashboard and Data Structure
A dashboard structures data, enabling the AI agent to personalize. For example, QBee sends personalized emails by tracking sponsors' tasks. This is made possible by the dashboard structuring the data.
5Real-Time Data Source
A good dashboard pulls data in real-time from various sources. QBee gathers data from systems like Salesforce, Clerk, and Misbo to create a single view. This makes the dashboard a reliable data source.
6Adding Agent Layers
Once the dashboard and data flow are established, the AI agent's layers are added step by step. QBee first sent personalized emails, then added triggered actions and reporting features. Each layer was built on top of the previous one.
7Conclusion and Importance
Starting with a dashboard when building AI agents ensures data structure and enhances the agent's reliability. This approach forms the foundation of QBee and other agents' success. Without data flow, AI agents cannot be effective.
Original article: SaaStr — AI Ajanlarınızı Bir Pano ile Başlayarak Geliştirin