Vellum

AI Automation

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Heat Score

7-Day Change

A.R.C. Grade

—

Pricing

paid

Vellum is a platform for building AI agents. You write plain English instructions that specify what your agent should do, then Vellum automates repetitive tasks and workflows you'd otherwise handle manually.

Build AI agents using plain English to do your boring tasks.

What the signals say about Vellum

Vellum holds a HookFlow heat score of 18/100 in AI Automation, computed from live Reddit, GitHub, Product Hunt and search signals. Over the last 7 days its score moved +5 points (up), -29 over 30 days. On the Lock-In Index it scores 100/100 (high lock-in, with significant switching cost).

Heat Score

0–100 viral momentum index combining social buzz, search trends & growth velocity

14-day trend

+13

24h

-29

30d

Heat Score Breakdown

Creator Buzz (30%)5

Search Interest (25%)12

Community Discussion (20%)5

Growth Momentum (25%)50

What is Vellum used for?

Vellum enables users to create AI agents that automate boring and repetitive tasks using plain English specifications rather than complex code.

How do you build agents in Vellum?

You write plain English instructions to define what tasks you want the AI agent to perform, and Vellum converts those instructions into working agents.

Who should use Vellum?

Vellum is designed for both technical and non-technical users who need to automate routine tasks without writing traditional code.

What type of tasks can Vellum automate?

Vellum can automate repetitive and routine tasks through AI agents built from plain English descriptions of desired workflows.

A.R.C. Score

A.R.C. ratings are calculated for developer infrastructure and API-first tools. This tool hasn't been evaluated yet or falls outside the A.R.C. scope.

🔓Data Lock-In Index

100/ 100

Lower = more portable. 0 = fully open, 100 = maximum lock-in.

✗ Webhooks Out✗ Bulk Export✗ Open Formats

Pricing

paid

Best For

Teams & Solo