Universal Containers aims to streamline the sales team's daily tasks by using AI. When considering these new workflows, which improvement requires…

Prompt Builder is a tool designed to create, test, and manage reusable prompt templates for generative AI. Its primary function is to instruct a large language model (LLM) to generate text-based content, such as summaries, emails, or field values, by grounding the prompt with specific Salesforce record data. Generating a summary of a sales contract is a quintessential generative AI task that involves creating new, contextual text, which is the core capability enabled by Prompt Builder.

A. Populate an Al-generated time-to close estimation to opportunities: This is a predictive analytics task that calculates a numerical value based on historical data. This is a use case for Einstein Prediction Builder, not the generative text capabilities of Prompt Builder.

C. Populate an Al generated lead score for new leads: This involves assigning a numerical score to a lead based on predictive modeling. This is the specific function of Einstein Lead Scoring, which analyzes data patterns to predict conversion likelihood.

1. Salesforce Help Documentation

"Prompt Builder": "With Prompt Builder

you create prompt templates that are the foundation of your AI-powered experiences... For example

you can create a prompt template that summarizes a complex case record or generates a personalized response to a customer." This source directly supports that generating summaries is a primary use case for Prompt Builder.

2. Salesforce Help Documentation

"Einstein Prediction Builder": "Einstein Prediction Builder lets you make predictions about almost any field in Salesforce... For example

predict a customer's likelihood to pay an invoice on time or the number of days it will take to close a case." This reference confirms that numerical estimations like "time-to-close" are handled by Prediction Builder.

3. Salesforce Help Documentation

"How Einstein Lead Scoring Works": "Einstein Lead Scoring gives leads a score from 1 to 99 to show how well they match your company’s successful conversion patterns." This document clarifies that lead scoring is a specific

predictive scoring feature

distinct from the generative functions of Prompt Builder.