Is anyone interested in seeing how advanced companies are actually running agents in production?

Hey everyone, I’m writing to see if people here would want more real-world breakdowns of how companies are actually running agents internally not just a random marketing post. I work at an AI infra company and one thing that’s become pretty obvious lately is that once agents start interacting with real systems, the hard part stops being the model itself. it becomes: 1. what environment the agent runs in 2. what it’s allowed to access 3. how you isolate credentials 4. how you validate changes safely 5. how you stop bad state from propagating everywhere A lot of the more advanced setups we’re seeing at our customers are basically treating agents like untrusted infra workloads: isolated sandboxes, warm execution pools, scoped credentials, ephemeral environments, per-agent tool configs, and orchestration across slack/github/cli/etc The landscape is still evolving. Anthropic has started talking more about sandboxing and blast-radius reduction is where the industry is naturally heading. I’m happy to share actual architecture patterns/use cases if people are interested, I can also link public customer write ups or hop on calls with people building similar stuff. It seems like everyone working on this is independently rediscovering the same infra/security lessons right now.