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Vellum

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About

Vellum is an AI agent development platform designed to help teams automate repetitive operational tasks through natural language instructions. The platform allows users to describe a specific workflow—such as researching SEO keywords or flagging suspicious transactions—and converts those instructions into functional AI agents. Unlike traditional automation tools that require complex logic or coding, Vellum focuses on a plain English approach where the AI interprets the task, identifies the necessary steps, and connects to external tools to perform work on behalf of the user. This makes it accessible to operations teams who need sophisticated automation without deep technical expertise. The core functionality revolves around a robust integration ecosystem, boasting over 1,000 connections to popular software like Slack, Google Sheets, Salesforce, and Stripe. These agents can be triggered by specific app events or set on a recurring schedule to run automatically. Vellum provides a transparent view of the agent's decision-making process, allowing users to see exactly what happens at every step, including run details, code outputs, and API interactions. This transparency is crucial for debugging and refining complex workflows that involve multiple logic gates or various data sources across different departments. Vellum is ideally suited for operations-heavy roles in marketing, finance, product, and customer support. Marketing professionals can use it to automate SEO drafting and competitive research, while finance teams can deploy agents for automated KYC checks or suspicious transaction monitoring. It is particularly valuable for organizations that need to scale their internal processes without increasing headcount, as it provides a way to build sophisticated agents that can operate independently within existing software environments to maintain data consistency and speed. One of the key differentiators of Vellum is its pricing model regarding workflow execution. While many competitors charge for every execution or individual step of an automation, Vellum provides unlimited workflow execution across all of its tiers. Instead, its credit-based system only applies to the building and editing phase of the agent development process. This allows teams to iterate on their agents until they are optimized and then run them at scale without fear of unpredictable usage-based costs. Additionally, the platform offers enterprise-ready features like data retention controls, environment management, and multi-workspace support.

Pros & Cons

Provides unlimited workflow execution without usage-based run fees.

Supports over 1,000 integrations with popular tools like Slack, Salesforce, and Stripe.

Allows users to build complex logic using plain English instructions.

Offers clear visibility into every decision step the AI agent takes during a run.

Includes dedicated servers for workflow processing to ensure stability.

The Free plan is restricted to a single concurrent workflow execution.

Building and editing credits do not roll over to the following month.

Data retention is limited to 30 days on the Free tier.

Advanced organizational tools like multiple workspaces are restricted to the Business plan.

Use Cases

Marketing teams can automate the process of researching top-ranking articles and drafting SEO content in Google Docs.

Finance professionals can set up agents to flag suspicious Stripe transactions and send alerts to Slack automatically.

Product managers can track team progress across Slack and Linear without manual standup meetings.

Operations staff can automate KYC checks by processing Gmail attachments and updating records in HubSpot.

Sales departments can monitor renewals by detecting declining usage trends in PostHog and updating Salesforce.

Platform
Web
Task
ai development

Features

1,000+ third-party integrations

configurable data retention

dev-to-prod environment management

automated credit top-ups

custom ui or code-based deployment

step-by-step decision transparency

scheduled and event-based triggers

natural language agent creation

FAQs

What are credits and how are they used?

Credits are consumed when sending messages to Vellum to build, edit, or reason about an agent during the development phase. They are not used for running workflows, which is included in every plan without additional usage-based fees.

What happens when I run out of credits?

On the Free plan, you cannot edit agents until the monthly reset, while Pro and Business users can use automatic or ad-hoc top-ups. Importantly, your existing workflows will continue to run even if your building credits are exhausted.

What is the difference between environments and workspaces?

Workspaces separate agents and data across different teams or use cases to keep organizations tidy. Environments are used to control how changes move through stages, such as from development to production, before going live.

Do credits roll over to the next month?

No, credits reset at the start of every month. This is intended to keep pricing predictable while providing a consistent budget for building and iterating on new agents.

What does concurrent workflow runs mean?

Concurrency refers to the number of workflows that can execute at the exact same time. The Free tier allows for one run at a time, while higher tiers like Business allow up to twelve simultaneous runs.

Pricing Plans

Pro
USD25.00 / per month

100 credits per month

Small workflow server

4 concurrent workflow runs

Up to 90 days data retention

Ad-hoc credit top-ups

Automatic credit top-ups

Multiple environments

Business
USD50.00 / per month

100 credits per month

Small workflow server

12 concurrent workflow runs

Up to 1 year data retention

Multiple environments

Multiple workspaces

Enterprise
Unknown Price

Custom credit bundles

Custom workflow server size

Dedicated Slack support

Onboarding services

DPAs, BAA, and custom contracts

Free
Free Plan

30 credits per month

X-small workflow server

1 concurrent workflow run

Up to 30 days data retention

Job Opportunities

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Vellum

AI Product Engineer

Automate repetitive operational tasks by building custom AI agents using natural language and 1,000+ integrations without paying for workflow execution fees.

engineeringonsiteNew York City, USfull-time

Other Requirements:

  • Can you work on site in NYC?

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Social Media

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Ratings & Reviews

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