Build AI agents by describing your task in plain English. Vellum turns it into a working agent you can run on a schedule, trigger via API, or use through a UI. No code, no setup; just automation you understand and control.
Hey Product Hunt 👋 Akash here, Co-Founder and CEO of Vellum.
Last year AI Agents finally started working for our engineers. Cursor, Devin, Claude Code gave them real leverage. Meanwhile, the rest of us are stuck in the same loop since 2023: lots of ChatGPT tabs, lots of context switching, not much has changed.
That gap bothered me.
If AI agents are this powerful, why do they only really work for engineers?
Introducing Vellum 🎉
Just explain the task you want to automate in plain English and Vellum turns that into a working agent. Vellum asks follow up questions to understand your requirements, connects to your tools, handles the logic, and makes the agent’s behavior visible so you’re never guessing what it’s doing or why.
Once you build your agents, you have a few ways to use them:
run the agent through a ready made UI
vibe code your own UI with one of our integrations (e.g. Lovable)
run it on a schedule or trigger it through APIs or app events
How is Vellum different
You start with the process you already own. Describe the task and Vellum builds an agent that automates it. There is no code and no setup to learn.
Agents work from day one. With the right context, Vellum can build the full workflow in one pass instead of hours of tweaking.
Logic changes do not create chaos. When something breaks or the process changes, you fix one step without rebuilding everything.
Built for safe automation. You can preview each step, review past runs, and know exactly what happened before letting it run on a schedule.
Who is this for?
If you have tried AI tools that almost work, built prompts you do not fully trust, or hesitated to automate because you are not sure what will happen…
Vellum is built for you.
It is for Sales, Marketing, Product Ops, and Customer Support teams who own their processes and want to automate them in a way they understand and trust.
Special offer 🏷️
To celebrate the launch, anyone who signs up through Product Hunt today gets 50 free credits ($150 value). To get started sign up here.
Finally, we’d love your feedback.
What’s one annoying task you’d automate first? ****Please let us know in the comments!
I have the following task: connect to a website, analyze people’s profiles, find those that match the ICP, message them on social networks from my account, track responses, and add those who reply to the CRM.
Is this something your service can do?
Love the idea of no-code agents! Just curious, if an agent doesn’t behave as expected after creating it in plain English, what’s the typical process for fixing it - is that something a non-technical user can handle easily?
Plain-English agents are powerful, but things get interesting once they need memory, retries, and control over time. We’ve seen that shift clearly when moving from simple automations to long-running agents while building GTWY.
This is exactly what the AI agent space needs! The ability to describe workflows in plain English and have them turn into production-ready agents is a game changer. I'm particularly impressed by the state management approach mentioned by @dvargas92495 - that's crucial for building reliable agents that can handle complex multi-step workflows.
For teams building LLM applications, having the transparency to preview each step and review past runs addresses one of the biggest pain points: trust and debuggability. Too many agent frameworks are black boxes.
Quick question: How does Vellum handle API rate limiting and retries when agents are calling external services? This is often a challenge in production agent deployments.
What stood out to me about Vellum is how intentionally it frames complexity instead of trying to hide or over-simplify it.
In tools that deal with structured thinking or layered workflows, it’s common to either overwhelm users or abstract things too much. Vellum feels like it’s aiming for a middle ground — making the structure visible, but not intimidating. From a UX perspective, that balance usually comes from deeply understanding where users get confused versus where they actually want control.
As a first impression, the product feels considered and mature, prioritizing clarity over flash, which makes it easier to trust and grow into over time.
This is awesome! “Uncontrollable desire to automate everything in your life” - love how the video plays to the potential dark side in a fun way! Will have to check out, although we use Teams instead of Slack
This is such an important unlock. Agents have been incredibly powerful for engineers, but the rest of the org has been stuck duct-taping prompts together. Making agents usable for non-technical teams is where real adoption happens. Curious how Vellum handles edge cases and process changes over time without breaking everything?
I've tried a LOT of agent builders, and Vellum is the only one where I've been able to do things without getting frustrated/having to write code.
Congrats on the launch! Looking forward to implementing this technology at @Drata
A lot of teams can already automate tasks with workflow tools plus an LLM step—what’s the sharp line where a “plain-English agent” is materially better than a classic automation?
I just built an agent that scrapes Twitter for trending topics and sends me daily post ideas and it took me like 10ish min. This is seriously so cool. Huge congrats on the launch, team!! The new agent builder is 🔥
Oh cool, official launch. I found this tool via Reddit last week, and had 1 simple agent going. What are some other marketing agents that I can build?
Huge congrats on the launch — love how Vellum turns plain-English workflows into safe, production-ready AI agents for non-technical teams.
Hey Product Hunt 👋 Akash here, Co-Founder and CEO of Vellum.
Last year AI Agents finally started working for our engineers. Cursor, Devin, Claude Code gave them real leverage. Meanwhile, the rest of us are stuck in the same loop since 2023: lots of ChatGPT tabs, lots of context switching, not much has changed.
That gap bothered me.
If AI agents are this powerful, why do they only really work for engineers?
Introducing Vellum 🎉
Just explain the task you want to automate in plain English and Vellum turns that into a working agent. Vellum asks follow up questions to understand your requirements, connects to your tools, handles the logic, and makes the agent’s behavior visible so you’re never guessing what it’s doing or why.
Once you build your agents, you have a few ways to use them:
run the agent through a ready made UI
vibe code your own UI with one of our integrations (e.g. Lovable)
run it on a schedule or trigger it through APIs or app events
How is Vellum different
You start with the process you already own. Describe the task and Vellum builds an agent that automates it. There is no code and no setup to learn.
Agents work from day one. With the right context, Vellum can build the full workflow in one pass instead of hours of tweaking.
Logic changes do not create chaos. When something breaks or the process changes, you fix one step without rebuilding everything.
Built for safe automation. You can preview each step, review past runs, and know exactly what happened before letting it run on a schedule.
Who is this for?
If you have tried AI tools that almost work, built prompts you do not fully trust, or hesitated to automate because you are not sure what will happen…
Vellum is built for you.
It is for Sales, Marketing, Product Ops, and Customer Support teams who own their processes and want to automate them in a way they understand and trust.
Special offer 🏷️
To celebrate the launch, anyone who signs up through Product Hunt today gets 50 free credits ($150 value). To get started sign up here.
Finally, we’d love your feedback.
What’s one annoying task you’d automate first? ****Please let us know in the comments!