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Agent Optimizer: A Faster Path to Better Outcomes

Salesforce's Agent Optimizer closes the loop: build, test, deploy, learn—all in one agent platform.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Agent-building tooling is maturing from experimental to operational. Salesforce's meta-agent for agent development reduces iteration friction, which matters to teams moving agents from pilots to production workflows.

The key facts

8 to know
  1. Salesforce Agentforce ships Agent Optimizer—an agent for building/testing/improving agents

  2. Framed as accelerating dev loop from intent through production learning

  3. Human-in-the-loop design (agents guided by humans, not autonomous)

  4. Published Sept 2026 on Salesforce blog (vendor source)

  5. Salesforce Agentforce feature: agent optimizer for building, testing, improving agents

  6. Focus: accelerate development loop from intent to production learning

  7. Human-in-the-loop framing

  8. Published as vendor blog post (low data richness signal)

Go to the source

Salesforce Blogsalesforce.com

Publisher excerpt: Agentforce’s agent for building, testing and improving agents accelerates the development loop—from business intent to learning from production—with humans guiding the work.
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