
Apollo's AI Assistant, built on Deep Agents, streamlines the sales process by enabling natural language goal-setting and end-to-end execution of tasks like prospecting, research, and analytics. The new architecture reduces complexity by allowing dynamic skill selection and eliminates confirmation prompts, improving efficiency and reducing latency. The assistant is now a headless agent, exposable via API and MCP, enabling seamless integration with external platforms and allowing users to automate processes such as lead delivery without interacting with the Apollo UI.
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.
