AgentsThe story, in brief

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.
Read original report
Back to today's editionMore agents news

The wider picture

View all
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI illustration by KeyNews
Agents01

How Benchling secured multi-tenant AI agents with Amazon Bedrock AgentCore

Multi-tenant agent security is becoming a solved problem. Benchling's defense-in-depth architecture (sandboxing + DNS firewall + VPC policies) shows how to run autonomous code generation safely at scale—a blueprint for enterprises deploying agents across customer data.

AWS Machine Learning Blog
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI illustration by KeyNews
Agents02

On theCUBE Pod: Dreamforce unveils the agentic dream, and Nscale goes public

Salesforce's AIforce represents a major vendor push into agentic workflows at scale. Combined with Nscale's public market debut, this signals enterprise agent adoption is moving from pilot to production—and it's reshaping how vendors compete.

SiliconAngle
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI illustration by KeyNews
Agents03

Multi-agent AI systems are taking over supply chain execution

Enterprise logistics is moving from human-approved AI recommendations to fully autonomous agent execution across operational workflows. This represents a real shift in where autonomy is being deployed and how it's changing decision velocity.

AI News