Do you want to create an AI agent? Do not rush to write code but sit down and plan why you want to create this agent, what pain points it solves, and its usage scenarios.
AI Agent Requirements
First, clarify the resources, conditions, or services that your AI agent used for a certain goal. Why you want to bring this agent into this world? Secondly, how do the end users behave and interact with this agent? Does this AI agent better meet the end user’s expectations? Before producing the core components of AI agents, learn the commercial value when it can solve the needs of target users. It is always better, before determining the requirements, to first determine the use case scenario and who are the target users. If you want to improve the internal efficiency of the enterprise, then you have a clear view of the scenario and requirements.
AI Agent Demand Analysis
Currently, AI agents are more suitable in repetitive and mechanized use case scenarios. For example, AI agents reduce working hours, work independently, and are beneficial for enterprises.
AI Development Platform
Coze: This platform offers you a cloud-based AI agent. You can enjoy the variety of rich plug-ins and able to create the agents with a drag-and-drop workflow. Moreover, you can create multi-agent collaboration agents that enhance the enterprise’s efficiency.
Dify: This platform helps to create AI agents without any AI programming knowledge. It is an open-source and flexible method to simplify the development process.
FastGPT: This platform helps you create a knowledge-based or question-answering agent.
AI agent LLM
The development platform provides the essential tool to create the prototype of an agent, but LLM gives you the computing power and reasoning ability. Because LLM costs you, you need to judge the cost of your AI agent and what is the processing context.
For example:
- How the agent behaves in professional fields and helps in decision-making
- Do not lead to malicious or misleading content.
- Adapt the interaction method and language style of the end user.
AI agent Database
You can use any ordinary database, such as MySQL.
AI agent testing
Because you are developing a commercial AI agent, it must verify the integrity of task execution. Never lose the data during execution. Must comply with the high-concurrency requests.
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