As a support user, you have a query regarding any object record, and to resolve that query, you have to go through all the fields of that record to analyze it. It would be better if there were a field that summarizes all the important information. By looking at that field, we can get a … Read more >>>
After creating a new agent in Salesforce Agentforce, when a user asks a query or question to an agent, the agent understands and processes information, takes action to perform tasks, and responds to the user. These actions help agents process the query and give correct responses. There are different ways to create custom actions in Agentforce. In … Read more >>>
We can enable and create Agentforce org using our trailhead account or the Lightning experience. Now, we have Einstein Copilot, which helps users on the Salesforce platform. We have a service agent that helps users on the community site, etc. Similarly, Agentforce is an AI assistant for Salesforce platform developers. It acts as a pair … Read more >>>
Earlier, whenever we wanted to email the customer, we needed to create an email template according to the subject and the email body. Then, we were able to send an email to the customer. Nowadays, Agentforce makes this task very simple. We only need to provide the details and prompt the agent why we want … Read more >>>
Whenever you ask an agent a query or question, the prompts are how you communicate with the large language model(LLM). AgentForce responds to queries and requests in a language inspired by human speech and provides relevant responses. Designing an effective prompt is key to unlocking the benefits of generative AI. In this tutorial, we will … Read more >>>
We can enable and create an Agentforce org using our Trailhead account, and as our agent expired, we had to create another org using the Trailhead account. But now, with the Spring ’25 release, we can create an agent org using our normal Salesforce developer org by creating scratch orgs. In this tutorial, we will learn … Read more >>>
After creating a new agent in Salesforce Agentforce, when a user asks a query or question, the agent understands and processes the information, takes action to perform tasks, and responds to the user. These actions enable agents to process queries and provide accurate responses. There are different ways to create custom actions in Agentforce. In this tutorial, … Read more >>>
Salesforce has launched Agentforce, which allows users to ask questions to agents, who then perform tasks and retrieve information. Information must be secure between retrieval from the server and display on the agent UI. Therefore, Einstein’s trust layer plays a crucial role here. In this tutorial, we will learn about the Einstein trust layer in … Read more >>>
When working with agents in Salesforce, there are various types of agents with distinct capabilities. We can only deploy some of them in the Salesforce org so that Salesforce users can utilise them, while others can be deployed on external sites, such as community sites, for external or end users. In this Salesforce tutorial, we … Read more >>>
After creating and deploying an Agent in Salesforce, we need to train the agent with natural language so that when a user or customer asks the agent a query, the agent should display the result. This can be done using topics, instructions, and actions, which are the building blocks of agents in Salesforce. In this … Read more >>>
In this live webinar, we will showcase how Salesforce AI Agents use business data and documents to provide intelligent responses using Agentforce Data Library and Salesforce Data Cloud.
Start with AgentForce in Salesforce. Create your first agent and deploy to your Salesforce Org.