Vellum
An AI development platform that helps teams build and deploy AI-powered applications
Vellum is an AI development platform that helps teams build and deploy AI-powered applications. To that end, it provides tools for prompt engineering, semantic search, version control, testing, and monitoring — all compatible with major LLM providers.
One of its key features is the prompt engineering tool, which allows users to design and refine prompts for large language models. This helps in creating more accurate and relevant AI responses. Also, Vellum’s semantic search integrates company-specific context into prompts without the need to manage your own search infrastructure.
You may find the version control system to be particularly useful as it allows you to make controlled changes to prompts without modifying the underlying code structure — thus streamlining the development process. The platform’s quantitative testing capabilities also provided valuable insights into model performance, ensuring that any updates maintained or improved the quality of AI outputs.
All this makes Vellum ideal for development teams, product managers, and enterprise organizations looking to integrate AI into their workflows. Its comprehensive toolset supports rapid iteration, deployment, and monitoring of AI features — making it a valuable asset for those aiming to leverage AI technology effectively.
Categories Coding & Development
Video Overview ▶️
What are the key features? ⭐
- Prompt engineering: Vellum provides tools to design, iterate, and test prompts effectively, allowing users to fine-tune AI interactions without extensive coding.
- Semantic search: Enhance your AI's ability to understand and process context-aware queries with Vellum's semantic search capabilities.
- Model versioning & chaining: Keep track of different AI model versions and chain multiple models together to handle complex tasks, allowing for safe experimentation and the development of sophisticated AI workflows.
- Workflow automation: Automate AI development workflows with Vellum's intuitive interface, enabling both technical and non-technical team members to contribute seamlessly.
- Performance monitoring: Monitor your AI systems in real-time to ensure optimal performance and quickly address any issues.
Who is it for? 🤔
Vellum AI is designed for different kinds of users, including AI development teams, product managers, businesses of varying sizes, educational institutions, and startups. Its user-friendly interface and comprehensive features make it accessible to both technical and non-technical users, facilitating collaboration and efficiency in AI development projects. Ultimately, by streamlining workflows and providing robust tools for experimentation, evaluation, deployment, and monitoring - Vellum caters to organizations seeking to integrate AI solutions into their operations effectively.
Examples of what you can use it for 💭
- AI developers can use it to rapidly prototype, test, and deploy AI applications
- Product managers can experiment with AI features, adjust prompts, and oversee AI integrations without relying heavily on engineering resources
- Companies aiming to incorporate AI into their operations can use Vellum to build and deploy AI systems tailored to their specific needs
- Academic organizations can utilize Vellum to develop AI-driven educational tools, conduct research, and provide students with hands-on experience in AI development
- Emerging companies can leverage Vellum's comprehensive toolset to explore AI opportunities, develop innovative products, and gain a competitive edge in the market
Pros & Cons ⚖️
- Streamlined AI development with tools for prototyping to production
- Efficient prompt creation and testing
- Semantic search that improves data retrieval accuracy
- There is the learning curve here, with extensive features requiring adaptation time
FAQs 💬
What exactly is Vellum AI?
Vellum AI is a platform that helps teams create and manage AI agents to automate boring, repetitive tasks in operations, marketing, sales, finance, and more. You describe your goal in natural language, and it builds the workflow, connects tools, and lets you run agents on schedules or triggers.
Who is Vellum AI best suited for?
It's great for product managers, marketing teams, sales ops, finance folks, and even engineers who want to automate workflows without heavy coding. Non-technical users love the natural language builder, while devs appreciate the exportable code and observability.
How do I build an AI agent in Vellum?
Just chat with the platform like you're describing the task to a colleague. Vellum asks follow-up questions, plans the steps, and generates a working agent with tools and integrations. You can preview, debug, and refine it visually or with code.
What kinds of tasks can Vellum agents handle?
Common examples include daily SEO article drafting from Google Sheets keywords, auto-preparing sales meeting summaries, fraud detection in transactions, pulling team updates from tools like Linear into Slack or Notion, and more complex multi-step ops across 1000+ integrations.
Does Vellum support integrations with other tools?
Yes, it connects to over 1000 tools right away, including Google Workspace (Sheets, Docs), Slack, Notion, HubSpot, Stripe, Salesforce, Linear, SERP API, Firecrawl, Gmail, and many others. Agents can read from and write to your existing apps.
How transparent is the agent behavior in Vellum?
Vellum gives full visibility. You can preview the entire workflow, inspect every step (timing, tools used, outputs), and even export the generated Python code to run locally if you want.
Can I run agents on a schedule or trigger them automatically?
Absolutely. Agents can run daily, weekly, or on app events like new calendar invites or data changes. This makes them perfect for ongoing automation without manual starts.
Is Vellum suitable for production use?
Yes, it's built for production-grade agents with built-in evaluations, versioning, regression testing, monitoring, and observability to catch issues early and ensure reliability as you scale.
How does Vellum compare to tools like LangChain or CrewAI?
Vellum stands out with its natural language agent builder, making it faster for non-devs to get started. It also includes built-in evals, observability, and enterprise features, while still offering code export for customization.
Is there a learning curve with Vellum?
It's designed to be quick for beginners, often letting you build a simple agent in under an hour. There might be a small curve for advanced workflows, but the support team and docs help a lot, and many users say it's intuitive after the first try.
Related tools ↙️
Last update:
January 19, 2026
Promote Vellum
