Vellum

Vellum is an AI automation platform that lets users create working AI agents by simply describing tasks in natural language.

Instead of building workflows manually or wiring together automation logic step by step, users can explain what they want the agent to do in plain English, and the platform turns that into an executable workflow.

The resulting agents can run on schedules, respond to API triggers, or be accessed through a UI depending on the use case.

What it’s designed for

A lot of repetitive work now sits somewhere between traditional automation and AI assistance:

summarizing information
monitoring updates
generating content
processing workflows
handling recurring operational tasks

Vellum is positioned as a way to automate those processes without needing to build custom tooling or manage complex agent infrastructure directly.

How the workflow feels

The experience is closer to describing a job than programming one.

You explain the task, define how and when it should run, and the platform handles the underlying agent behavior behind the scenes. The focus is less on technical setup and more on making automation understandable and editable for non-technical users.

That makes it feel different from traditional no-code automation products, which often still require users to think in terms of flows, nodes, triggers, and integrations.