How can I build AI Agents with code?
Generative AI agents are transforming the way businesses approach automation, but their unpredictable nature often prevents organizations from fully trusting them with mission-critical tasks. The move from basic chatbots to robust, process-oriented AI hinges on establishing guardrails that ensure compliance with business rules. Enter Agent Scripts—the missing link between conversational AI and predictable, governed automation.
Why Guardrails Matter for Generative AI
Many teams ask whether simple prompts are sufficient to keep AI agents focused on rules like company pricing, service SLAs, or data security. In reality, plain English instructions can be dangerously vague; what is “mostly right” could actually be very wrong for a high-growth business. In regulated or high-stakes environments, only deterministic automation—where outcomes reliably follow the business logic—can meet the mark.
Agent Scripts solve this by providing a structured, code-driven way to direct AI agents, letting organizations combine AI’s flexibility with the reliability of a single source of truth for process execution.
Getting Started with Agent Script and Agent Force
For Salesforce customers, Agent Script is currently in beta within the Agent Force suite. It allows you to define exactly how your agents should behave, reference Salesforce Flows, and manage complex business logic—all via scripts rather than open-ended prompts.
Step-by-step overview:
- Access Agent Force Builder: Start by enabling Agent Force (Beta) in your Salesforce setup if it’s not already activated.
- Create an Agent: Use the new Agent Force Builder to spin up an AI agent. You can define the agent’s behavior either in natural language (prompt-based) or through a script for greater control.
- Script-Powered Agents: Paste in your Agent Script to specify exact responses, behaviors, and the triggers for back-end Salesforce automation such as Flows.
- Link Flows and Permissions: Reference existing Salesforce Flows within your script to handle data retrieval or updates. Make sure your agent’s user (typically an “Einstein Service Agent” user) has the correct roles and permissions, so it can access relevant data like opportunities.
- Test with Conversations: Use the built-in chat preview to validate your Agent Script. The agent will only provide responses and take actions exactly as scripted, delivering highly consistent, business-aligned results.
Real-World Example
Imagine an AI-powered “HypeBot” designed to energize users and summarize their current Salesforce opportunities. The script:
- Sets a distinct tone for the agent’s responses
- Integrates with a Salesforce Flow to fetch opportunity details scoped to the authenticated user
- Ensures the AI stays within the script-defined boundaries, never straying off into unsanctioned territory
With this setup, even complex instructions—like computing opportunity metrics or enforcing policy-based messaging—are executed exactly as intended.
Agent Scripts vs. Traditional Prompts
While traditional prompt engineering is still useful for simple one-off interactions, complex workflows and policies are best translated into scripts. This approach:
- Reduces the risk of AI hallucination
- Ensures workflow compliance
- Bridges the flexibility of language models with the determinism your business needs
When Should You Use Agent Scripts?
Not every AI use case demands scripting. Agent Force can support basic automation with prompts alone. But for high-value, high-risk, or highly customized workflows, scripts deliver peace of mind and operational integrity.
Next Steps
Don’t wait for AI errors to impact your business or customer experience. Start experimenting with Agent Scripts today to create automation that truly supports your growth—without losing control along the way.