Sierra's agents are designed to be comprehensive, holding full customer history and context, and are built on a modular voice architecture to support voice payments and outcome-based pricing. The company uses a no-code layer to compile agent code and is open-sourcing the tau-bench universe to aid developer debugging. Sierra's approach emphasizes simplicity, with a single agent per brand, avoiding the complexity of multi-agent systems.
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth.

LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.

Learn what AI agents are, how they work in an LLM loop, and where workflows fit so you can build reliable, production-ready autonomous systems.
