Hi novoreorx, the biggest difference is that in Pipelex workflows, we express the logic in our high-level language, rather than in Python or typescript. This makes it easier to collaborate between tech and non-tech people, like domain experts. It's also great for collaboration with AI: the declarative approach and the high level of abstraction means that LLMs have all the context to understand what's going on in the workflow. Also, we don't use Pipelex for "autonomous agents": our workflows are meant to be repeatable and deterministic, like a tool. Like a tool that can be used by agents though our MCP server.