Prompt templates are used to integrate generative AI capabilities into your applications and workflows. You can create them in Prompt Builder, which is part of the Einstein 1 Studio suite of AI development tools. When you invoke prompt templates, they are first resolved, which entails surfacing all the data references in the prompt template (e.g., merge fields, related lists, flows, or Apex), and then sent through the Einstein Trust Layer, before generating a response from the large language model (LLM). Some out-of-the-box entry points allow you to invoke prompt templates from Salesforce, suc ..read more

Generative AI is revolutionizing application development, creating the most significant opportunities for developers in decades. At TrailblazerDX 2024, Salesforce announced Einstein 1 Studio, a set of low-code tools – including Prompt Builder, Copilot Builder, and Model Builder – that enable Salesforce Admins and Developers to customize Einstein Copilot — the conversational AI assistant for CRM — and seamlessly embed AI across any app for every customer and employee experience. With tools like Prompt Builder for building and activating custom prompts in the flow of work and Copilot Builder for ..read more

Over the past year, many Salesforce teams have focused on improving Lightning Experience performance. Our teams have been going over performance traces that power all the fantastic workflows that Trailblazers use to drive innovation in businesses worldwide. And there is some good news to report! With this blog post, we celebrate one year of dedicated focus on improving the user experience for Lightning. We share the improvements that we’ve implemented and give you an outlook on what to expect in 2024. As we’ve done in previous blog posts in this series, we’ll provide a few deeper dives into ce ..read more

Prompt Builder is a generative AI tool in Einstein 1 Studio that allows you to create reusable prompt templates. Prompt templates are resolved into prompts and sent to a large language model (LLM), always going through the Einstein Trust Layer, to get a response. They enable generative AI capabilities in common Salesforce business workflows, such as email and field generation, record summarization, and other custom workflows. Prompt templates can be securely grounded using your own data to give the model more context and improve the accuracy of its responses. You can choose different types of ..read more

Data sharing allows developers to share data from Salesforce Data Cloud’s data lake to systems like Snowflake with a zero-ETL (extract transform load) approach. This approach greatly reduces the time to work with Data Cloud data in an external data lake or system. In this blog post, we’ll discuss how to use data sharing to share data from Data Cloud to Snowflake. What is Salesforce Data Cloud? Data Cloud enables you to build a comprehensive, 360-degree view of your customers across products, services, and interactions. It is natively integrated into the Einstein 1 Platform. Data Cloud has buil ..read more

Salesforce Data Cloud’s Connect REST API (Connect API) creates business value by organizing and simplifying interactions with Data Cloud services. It is the preferred platform for customers to construct solutions on top of Data Cloud, offering uniform implementation and testing practices. The Data Cloud Connect API Postman collection allows users to make the same API calls directly from Salesforce’s Connect interface, providing seamless integration of data across systems. This integration also allows for these APIs to be called in flows. In this blog post, you’ll learn how to use Postman to in ..read more

Salesforce and Google have partnered to allow users and customers of both platforms to seamlessly integrate their data between Salesforce and Google Cloud in a variety of ways and activate it to enable data-driven business processes, workflows, automations, AI, and analytics. You can bring AI models built on the Google Cloud Platform to Data Cloud with Model Builder and use your Data Cloud data for training and predictions in Google Vertex. You can share data bidirectionally between Google BigQuery and Data Cloud for analytics and more without copying or moving data. You can also connect Data ..read more

Each year, TrailblazerDX brings developers, admins, and architects together to discover the latest innovations across Salesforce. This year’s event put the “AI” in “Tr-AI-lblazer” with hands-on workshops, dozens of demos, and hundreds of technical sessions that showcased how to use the latest innovations in generative AI on the Salesforce Platform. We launched new products for developers, including Einstein 1 Studio, Data Cloud Vector Database (in pilot), and new AI-powered developer tooling on Einstein for Developers. In this blog post, we’ll give you all the highlights from TDX ’24 to help y ..read more

As part of the Spring ’24 release, we are excited to launch Einstein 1 Studio Model Builder in Salesforce Data Cloud. Einstein 1 Studio allows admins, developers, and data professionals to build, connect, and manage their predictive and generative AI models. Einstein 1 Studio provides a unified model management platform in Salesforce for multiple types of models, including no-code builder predictive models, Bring Your Own predictive models (BYOM), and Bring Your Own large language models (BYO LLM). These models can then be seamlessly integrated into any Salesforce Customer 360 application for ..read more

Einstein Copilot (Beta) is a unified conversational AI assistant for Salesforce. It understands your organization’s metadata and data permissions, and you can ask it to perform actions using natural language. With built-in security via the Einstein Trust Layer, Einstein Copilot comes prebuilt with a library of standard actions to find or summarize records, draft sales emails, aggregate data, and more. However, what sets Einstein Copilot apart is its extensibility for developers through Copilot Builder (Beta). With Copilot Builder, developers can enhance Copilot’s capabilities by creating custo ..read more