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# How Agentforce Achieved Accurate Flow Generation Across 461B Executions

**[Salesforce Engineering](https://daily.dev/sources/salesforceeng)** · 6 min read · 1 upvotes · 0 comments

## Summary

Salesforce's Agentforce team replaced fine-tuned models with a constrained, multi-stage Domain-Specific Language (DSL) architecture to generate production-ready Flow automation from natural language. The new approach separates planning (Architect phase) from implementation (Developer phase), enforces strict validation at each stage, and auto-generates DSL rules from Flow metadata definitions. This eliminates hallucinations, handles 63+ Flow types including complex Screen Flows and custom actions, and scales to 461 billion monthly executions while improving accuracy and reducing deployment cycles from months to continuous updates.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://engineering.salesforce.com/how-agentforce-achieved-accurate-flow-generation-across-461-billion-monthly-executions-using-a-constrained-dsl/>

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Tags: [#ai](https://daily.dev/tags/ai), [#automation](https://daily.dev/tags/automation), [#llm](https://daily.dev/tags/llm), [#salesforce](https://daily.dev/tags/salesforce)

[View this post on daily.dev](https://daily.dev/posts/how-agentforce-achieved-accurate-flow-generation-across-461b-executions-zld0ddn1a)

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