The unseen work of building reliable AI agents
Nobody talking about this: The real bottleneck in AI agents isn't the model—it's teaching them 10,000 low-level tasks.
Why it matters
As enterprises deploy AI agents at scale, the unsexy infrastructure work of training reliable agent behavior through reinforcement learning 'gyms' is becoming the critical differentiator. This reveals why agent deployment timelines are longer than most assume.
The key facts
8 to knowReinforcement learning gyms used to train agents on task chaining
Focus on low-level task execution and reliability
Amazon Science research on agent reliability infrastructure
Published by Amazon—major cloud provider perspective on AI agent challenges
Reinforcement learning gyms used to train low-level task chaining
Focus on agent reliability rather than raw capability
Amazon Science publishing on agent infrastructure challenges
Task composition and orchestration as critical bottleneck
Go to the source
Amazon Scienceamazon.science
Publisher excerpt: "Reinforcement learning gyms" train agents on the many low-level tasks that they must chain together to execute customer requests.