
Evaluating Agentic AI Systems in Production
Agentic AI systems—autonomous agents that plan, call tools, and adapt as they work—are moving out of research demos and into business-critical workflows.…
Read reportExplore the rise of agentic AI systems that autonomously plan, execute, and improve on complex tasks, and their impact on software, business, and workflows.
Reports
Read source-grounded analysis for this AI trend area.

Agentic AI systems—autonomous agents that plan, call tools, and adapt as they work—are moving out of research demos and into business-critical workflows.…
Read report
The demo proves what a model can do. Deployment proves what a system will let it do. An autonomous agent can plan, call tools, and act toward a goal on its…
Read report
An AI agent is software that uses an AI model to choose actions, call tools, and work toward a goal. Agentic AI describes systems built from these agents,…
Read report
The real question is not whether to use many agents. It is what workflow constraint justifies adding another agent, and what coordination contract makes…
Read report
You built an agent. It worked once. Then you changed the input slightly and it fell apart, and you could not tell which part of the system failed.
Read report
The agent that answered cleanly for ten minutes starts contradicting a decision it made at turn twelve. It asks again for a fact you supplied in the…
Read report
A protocol standardizes the shape of a call. It does not standardize what the call means, who is allowed to make it, or what happens when it fails.
Read report
An agent with legitimate access to a folder can still write four thousand files somewhere it should not, and every access check will pass.
Read report
A failed response is not a failed operation. A successful response is not a successful operation either. Everything hard about AI agent reliability lives…
Read report