It is a common and accepted technique

[roshniakter123]

One of the most interesting aspects of Agentforce, intended as a Salesforce platform, is precisely that of providing both ready-made Agent implementations (those listed above are just a few examples) and of giving us the possibility of customizing and creating new agents that meet our needs . And all this without the need to develop custom code, but by configuring and using tools that are immediately familiar to those who use the Salesforce ecosystem, such as the agent builder, the prompt builder , but also the flows and other tools already present within our solutions.


For the reasons listed so far, we can also say that another philippines mobile database substantial difference of Agentforce is that it is a system natively able to collaborate with end users (our customers), as well as with users of the Salesforce platform. When Agentforce interfaces with our customers (for example from a chat on a website, or from a Whatsapp channel) we speak more properly of autonomous agents. When instead, its functions are provided to a platform user, it is normally considered an Assistive Agent.


An interesting key to reading Agentforce is related to the parallel with the theme of Prompt Engineering. If you have had the opportunity to study the best practices related to writing prompts, and in general to the use of LLMs , it will be natural for you to associate the Role of an agent with the concept of Role Playing related to prompts. in fact, to start the prompts by explaining exactly to our LLM what role he must play, which will influence the tone and the contents that we expect as a result.