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Inside Agentforce Decoded: A Developer's Guide to Salesforce's AI Capabilities

Jan 21, 2025

Inside Agentforce Decoded: A Developer's Guide to Salesforce's AI Capabilities

The Salesforce Developers YouTube channel has released an extensive series called "Agentforce Decoded," providing developers with in-depth insights into building and customizing AI-powered solutions using Agentforce. Let's explore the key topics covered in this educational series.

Core Integration Capabilities

External Services and MuleSoft Integration:

The series begins with fundamental integration patterns, showing developers how to connect Agentforce with external systems. A standout feature is the ability to import MuleSoft APIs into Salesforce orgs using External Services. This integration enables organizations to extend their AI capabilities by connecting to various data sources and services.

Custom Language Model Integration:

One of the most powerful features demonstrated is the ability to bring your own Language Model to Agentforce. Using the LLM Open Connector API Specification and MuleSoft AI Chain project, developers can integrate custom language models like Llama 3 through platforms such as oLlama. This flexibility allows organizations to maintain control over their AI infrastructure while leveraging Agentforce's capabilities. (Bring Your Own Language Model to Agentforce with MuleSoft).

Platform Extensions:

The series showcases how Agentforce can be extended to various platforms:

Advanced Features and Capabilities

Predictive AI Integration:

A significant portion of the series focuses on combining Agentforce with predictive AI to improve business outcomes. Using Model Builder in Data Cloud, developers can create predictive models that integrate seamlessly with Agentforce through Flow Builder. This combination enables powerful use cases like predicting adoption rates for animal shelters and providing actionable recommendations. (Amplify Agentforce with Predictive AI).

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