Enterprise Technology Specs
Interface Preview
Product Demo
The Deep Dive
Vellum is interesting because it sits between an AI engineering platform and an AI assistant. For development teams, the useful part is the workflow layer: you can visually build multi-step systems, test different scenarios, deploy them, and inspect what happens at each stage. That makes it much easier to move beyond a single prompt and start thinking about AI as an actual application.
For everyday users, the current Vellum assistant takes a different approach. It can remember context, connect to services, browse the web, interact with computers, and perform approved actions. That makes it more practical for recurring work than a standard chat window.
The main catch is that Vellum is not the simplest choice if you only want occasional AI responses. Its value increases as your workflows become more complex and you need testing, integrations, deployment, and control.
Key Capabilities
Top Use Cases
- Build production AI workflows
- Create AI agents
- Prototype LLM applications
- Build RAG applications
- Evaluate AI responses
- Automate business research
- Connect AI to CRM systems
- Automate email workflows
- Create internal AI assistants
- Build multi-step AI applications
- Test prompts and models
- Run AI workflows with code
“Vellum's current official materials do not provide a quantified ROI figure for the current assistant product. Its official documentation states that Workflows can be prototyped, deployed, versioned, and monitored, while the current product site says the assistant can be set up and used across web, macOS, iOS, Slack, Telegram, and terminal environments.”
