AI agents in production: how large companies are shipping them faster
LangChain surveyed 1300 practitioners and found that large companies are now more active than startups in putting AI agents into production. While 89% of teams monitor how their agents perform, only about half run offline evaluations before release. The main brake is no longer cost but quality: accuracy, consistency, and fighting hallucinations. The signal for the market is clear: the pilot phase is over. What matters now is reliability, testing, and control over what agents do in real-world environments.
AI-processed from KDnuggets; edited by Hamidun News
The State of Agent Engineering report, based on a survey of 1300 practitioners, shows that AI agents are reaching real businesses not where there is less bureaucracy, but where there are more resources and stricter reliability requirements.
What are AI agents?
These are systems that don't just answer a query like a regular chatbot. Instead, they choose their own steps to reach a goal: they search for data, call tools, send emails, or trigger actions in other services.
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