Agentforce’s AgentScript: Building Deterministic Control for Enterprise AI Workflows
In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Elijah Ben Izzy, Software Engineering Architect at Salesforce. Elijah is building AgentScript — an open source programming language and control plane for Agentforce that makes enterprise AI agents easier to create, simpler to control, and safer to operate across complex business workflows. AgentScript gives customers a structured way to define deterministic agent behavior while retaining the flexibility of modern large language models.
In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Elijah Ben Izzy, Software Engineering Architect at Salesforce. Elijah is building AgentScript — an open source programming language and control plane for Agentforce that makes enterprise AI agents easier to create, simpler to control, and safer to operate across complex business workflows. AgentScript gives customers a structured way to define deterministic agent behavior while retaining the flexibility of modern large language models.
Explore how the team tackled the challenge of maintaining deterministic control over load-bearing enterprise workflows while enabling flexible LLM-driven reasoning inside Agentforce agents and how the team solved the parser and synchronization constraints required to keep executable code and visual AI agent-building interfaces in consistent, error-safe alignment.
Explore how the team tackled the challenge of maintaining deterministic control over load-bearing enterprise workflows while enabling flexible LLM-driven reasoning inside Agentforce agents and how the team solved the parser and synchronization constraints required to keep executable code and visual AI agent-building interfaces in consistent, error-safe alignment.