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What happens after agent deployment becomes easy?
As platforms like Salesforce’s Agent Fabric reduce the friction of building and orchestrating agents, a new pattern starts to emerge.
The complexity doesn’t stop at creation. It starts after deployment.
Once agents are distributed across systems, APIs, and workflows, they effectively become part of a larger system.
That introduces new challenges:
- Tracking where agents are operating
- Understanding behavior across environments
- Managing interactions between agents and systems
Maintaining consistency at scale
In that sense, agent pipelines don’t just create agents.
They create distributed systems.
And those systems require a different level of visibility and coordination than isolated tools.
Open questions:
- How do we observe agents once they’re deployed?
- How do we manage behavior across systems?
- What does control look like post-deployment?
🔗 https://www.salesforce.com/news/stories/agent-fabric-control-plane-announcement/
As platforms like Salesforce’s Agent Fabric reduce the friction of building and orchestrating agents, a new pattern starts to emerge.
The complexity doesn’t stop at creation. It starts after deployment.
Once agents are distributed across systems, APIs, and workflows, they effectively become part of a larger system.
That introduces new challenges:
- Tracking where agents are operating
- Understanding behavior across environments
- Managing interactions between agents and systems
Maintaining consistency at scale
In that sense, agent pipelines don’t just create agents.
They create distributed systems.
And those systems require a different level of visibility and coordination than isolated tools.
Open questions:
- How do we observe agents once they’re deployed?
- How do we manage behavior across systems?
- What does control look like post-deployment?
🔗 https://www.salesforce.com/news/stories/agent-fabric-control-plane-announcement/