ElementsGPT is an AI-powered guide for Salesforce that includes features such as automated diagram building and user story creation. With the help of ElementsGPT Org Copilot, it can generate charts, images, and CSV files, providing accurate and actionable recommendations for implementing user stories. Jira integration is also available, allowing users to track progress and outcomes throughout the process. ElementsGPT utilizes the capabilities of Elements.cloud to document, manage, and implement data from various applications. Its features can be used for the complete user story creation and implementation cycle or independently for generating charts and creating tickets.
GPT models only have access only to public data, which can be insufficient for generating accurate and personalized outputs. So, we needed to provide context with user information.
GPT models' token limit restricts the amount of information they can process at once. This can hinder the creation of detailed and comprehensive responses, requiring careful management of token usage.
We had to protect our AI-powered guide from prompt injections, which are highlighted by their top ranking in the OWASP Top 10 for LLM Applications. They are simple and can be executed with minimal technical knowledge, making them especially common. Prompt injections involve feeding malicious prompts to the model, causing it to execute unintended actions. Such vulnerabilities can spread malware, theft of sensitive data, and unauthorized control over systems. Additionally, they can use limited user tokens for their own purpose.
Generating constant reports and managing vast amounts of information presented additional challenges. We had to find a way to simplify and streamline this process for users, which is crucial to ensure accuracy in handling data.
We’ve decided to use vector databases to improve the context and performance. These databases enable us to store and retrieve vast amounts of data, ensuring that our solution has access to comprehensive and relevant information. By vectorizing proprietary data, we transformed it into an intermediate form that the model can easily process. This guarantees that ElementsGPT can load relevant parts of an organization's metadata and Salesforce's architectural recommendations, integrating them seamlessly into the context of application implementation activities.
OrgCopilot for data formalization streamlines the process of organizing and structuring data. It allows ElementsGPT to understand and utilize organizational configuration and Salesforce best practices. Users can explain their ideas in one simple sentence or share a photo of the brainstorm dashboard. With OrgCopilot Element.GPT will transform it into user stories and step-by-step realization recommendations.
Prompt engineering played a crucial role here. We’ve created prompts that provide context and specific information that GPT models lack. Prompt engineering has also helped us to solve token limitation issues. On the one hand, this, among other solutions, helped us strengthen protection against prompt injections. On the other hand, it allows for providing more accurate and personalized answers for users, ensuring the format and delivery of the query results are aligned with their expectations.
We have created a full-featured AI-based solution for Salesforce optimization. It provides a personalized experience with complete security. ElementsGPT transforms complex data into clear and comprehensible diagrams and generates complex user stories, including metadata impact analysis for each resource. It automates and streamlines processes that used to take 8 hours and now can be completed in 5 minutes. At the same time, the result is delivered with greater accuracy, using business requirements and assembling components faster.
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