This beginner friendly guide shows how anyone can build and deploy AI agents without writing code. You’ll learn what agents are, how they work, and how to create one step-by-step using Vellum’s prompt-to-build platform.
Why AI agents matter now
AI agents are quickly moving from hype to habit for people looking to save time on tasks and ramp up output. From humble chatbot beginnings AI agents have evolved into an entire ecosystem of intelligent, goal-driven systems capable of planning, reasoning, and taking action. It used to take complicated tools or deep coding knowledge to build these systems. Today that’s no longer true.
Today instead of writing thousands of lines of code, anyone can build an AI agent simply by describing what they want it to do. Platforms like Vellum make that process effortless: just prompt the system with your goal, connect a few tools, and you’ll have a working agent in minutes. It’s never been this easy to automate, and with that, anyone not automating is already falling behind.
This guide was purpose made to show agent building beginners how to easily build an AI agent in minutes, and why Vellum is the easiest way to start.
What is an AI agent?
An AI agent is a self-directed system that uses an AI model (like GPT-4 or Claude) plus tools, memory, and logic to achieve goals.
Unlike traditional automation, when agents perform tasks they can understand context, make decisions, and handle ambiguity just like a human would.
You can think of an AI agent as a decision loop:
Perceive: Understand input (data, message, or event).
Plan: Decide what steps to take.
Act: Use connected tools to execute those steps.
Reflect: Evaluate the outcome and learn from it.
Repeat: Continue the cycle for better results.
For example, a support triage agent might read a customer email, classify the issue, check the CRM for history, and either respond or route it to the right department. The magic lies in the agent’s ability to reason about what to do next, something rule-based systems can’t do.
Vellum makes this entire process visible through a visual workflow canvas where you can see every tool call, reasoning step, and output.
Key trends shaping the AI agent space
According to PwC about 88% of executives say their companies plan to increase their AI-related budgets this year due to interest in agentic AI. Of those adopting agents, 66% report increased productivity, and 57% report cost savings. [1]
A study by IBM found that, globally, executives expect the proportion of workflows enabled by AI to grow from 3% today to 25% by end of 2025, and that 70% view agentic AI as important to their organisation’s future. [2]
According to the Markets and Markets, the agentic AI market is projected to grow from USD 7.06 billion in 2025 to USD 93.20 billion by 2032, registering a CAGR of 44.6% during the forecast period [3].
An empirical research paper shows that across 84 papers from 2023-25, 83% of evaluations focus on technical metrics, only 30% include human-centric measures, and just 15% cover both technical and human dimensions—highlighting a major gap in real-world readiness. [4]
A market-analysis article by ElectroIQ shows the market still early but scaling fast, with an approximate CAGR of 44.8% and broad adoption. [5]
Why build AI agents?
Until recently, building AI agents required code, infrastructure, and expensive dev time. Beginners often hit these walls: How do you structure prompts? How do you test outputs? What if the agent goes rogue?
That’s where Vellum changes the game. It removes the technical friction and gives you a no-code agent builder that lets you design, test, and deploy agents by simply prompting in plain English.
Just describe your desired outcome (“Build me an AI assistant that routes inbound requests to the right department”), and Vellum auto-generates the agent, connects relevant tools, and debugs any issues you encounter along the way.
For beginners, that means you can focus on what tasks you want to automate, not how to build them. You can use Vellum’s agent builder to safely experiment and iterate quickly without touching APIs or code. This lets you create a workforce of agents all connected to you key business tools and data systems, in only a couple of hours.
How do AI agents work?
AI agents are powered by a repeating loop of perception, reasoning, and action, a process often referred to as the agentic loop.
Let’s break it down:
Goal: Define what success looks like. (e.g., “Answer all support emails in under 10 minutes.”)
Perception: The agent reads incoming emails or tickets.
Reasoning: It interprets context, determines the type of request, and decides on a plan.
Action: Executes by calling tools like CRMs, APIs, or search systems.
Memory: Stores past interactions to provide continuity and learning.
Governance: Enforces guardrails—what the agent can and cannot do.
Why beginners need a no-code builder?
For beginners, coding can be the biggest barrier to bringing AI ideas to life. A no-code builder like Vellum removes that friction. You can simply prompt the platform with the agent you want, and the platform builds it in minutes. It’s the fastest way to experiment, learn, and see real results without needing any technical setup.
Why beginners need an agent builder?
Building an AI agent from scratch is messy because you’d normally have to wire up APIs, manage orchestration frameworks, and debug endless tool integrations just to get something working. For beginners, that complexity kills momentum fast.
Vellum’s Agent Builder eliminates all of it, letting you describe what you want, and it handles the connections, logic, and setup automatically. A process that used to take days to weeks of coding turns into minutes of prompting.
Why beginners need visibility?
Beginners need a level of visibility to understand how their agents think, make decisions, and improve with each run.
On Vellum, you can see this loop come alive: the workflow execution, reasoning trace, and tool usage all within the Workflow Console. You get a level of observability most platforms can’t offer and in turn you can better understand what your agent is doing and how to make it better.
5 Easy Steps to Build Your First AI Agent
The fastest way to learn is to build. Here’s how you can create your first agent on Vellum in under an hour.
1. Describe your goal
Open Vellum’s Agent Builder and type what you want the agent to do in plain English — for example, “Summarize customer emails and reply with key takeaways.” Vellum automatically drafts the workflow from your description.
2. Choose your tools
Connect any apps or data sources your agent needs (like Gmail, Slack, Notion, or a CRM). You can do this visually — no APIs or coding required.
3. Test your agent
Run a few example prompts to see how it performs. Adjust your instructions or refine the goal right inside the Builder until it behaves how you expect.
4. Personalize and refine
Give your agent a name, tone, or style so it fits your use case. You can tweak behaviors or add small logic steps by clicking through the workflow view.
5. Deploy and use it
Once it works the way you like, click Deploy to use your agent in real workflows or share it with your team. You can always come back to edit or improve it later.
Step
What to Do
What Happens in Vellum
1. Describe your goal
Open Vellum’s Agent Builder and type what you want the agent to do in plain English, for example, “Summarize customer emails and reply with key takeaways.”
Vellum automatically drafts the workflow based on your description.
2. Choose your tools
Connect any apps or data sources your agent needs, such as Gmail, Slack, Notion, or a CRM.
You can do this visually, no APIs or coding required.
3. Test your agent
Run a few example prompts to see how your agent performs and adjust your instructions until it behaves as expected.
You get instant feedback directly in the Builder.
4. Personalize and refine
Give your agent a name, tone, or style that fits your use case. Add small logic steps or personality tweaks.
Edit visually in the workflow view, no code required.
5. Deploy and use it
When it works the way you want, click Deploy to use your agent in real workflows or share it with your team.
Your agent goes live, and you can return anytime to improve it.
Best Practices for Beginners
When you’re just getting started, focus on keeping things simple and building confidence step by step. These four beginner-friendly principles we call the 4 Ps. They will help you create agents that actually work and improve over time.
Process
Start small. Pick one simple, repetitive task and build an agent to handle it. Once it works, add another. Small wins stack up fast and teach you what works best.
Prompts
Write clear, specific prompts. Tell your agent exactly what you want it to do and give examples if needed. The clearer your instructions, the better your results. Use Vellum’s agent builder to help you write and optimize your prompts.
Play
You’re still learning so experiment freely. Try new ideas, test variations of your prompt, and see what happens. The more you play, the faster you’ll understand how to shape your agent’s behavior.
Polish
Once your agent does the basics you should now focus on refining it. Adjust tone, phrasing, or style to make it sound natural and on-brand. Good agents come from iteration, not perfection on the first try.
Common pitfalls (and how to fix them)
Even the best builders hit bumps early on. Here are the most common ones, and how Vellum helps you avoid them:
Over-scoping: Trying to make your first agent do too much at once.
Fix: In Vellum’s Agent Builder, start with one clear goal in your prompt (like “summarize new emails”). Once it works, duplicate your agent or open a new Agent Builder thread and expand it step by step.
Flaky tools: Agents can break when connected apps or data sources don’t respond.
Fix: Use the Agent Builder to fix integrations or find alternatives and work arounds to keep your agents reliable.
Unclear prompts: Vague or complicated instructions confuse your agent.
Fix: Use Agent Builder to edit and optimize the prompts you have in your prompt and agent nodes.
Lack of visibility: It’s hard to improve what you can’t see.
Fix: Use Vellum’s Workflow Console to watch your agent’s reasoning and tool usage in real time. You’ll learn how it thinks and where to tweak it.
Section
Key Points
Why Beginners Should Build on Vellum
Building AI agents from scratch can be confusing with too many tools, settings, and code.
Vellum removes that complexity and makes it easy to turn ideas into real agents.
You can go from concept to a functioning AI workflow in minutes without any technical setup.
Prompt-to-Build Simplicity
You do not start from a blank screen; you simply describe what you want the agent to do.
Vellum’s Agent Builder automatically builds the logic, connects the tools, and creates the workflow for you.
The process feels natural and helps beginners build agents through simple prompts instead of technical steps.
AI Apps You Can Actually Use
Vellum lets you turn your agents into real, usable AI Apps for yourself or your team.
You can launch them instantly, share them through a simple link, or connect them to tools like Slack or Notion.
This is the easiest way to turn your agents into tools that improve everyday work.
No-Code, No Headaches
You do not need to work with APIs, frameworks, or complex setups because Vellum’s Agent Builder handles it.
For more control, you can manually drag, drop, and edit nodes in the visual orchestration view.
Beginners can focus on creating and experimenting instead of managing code or configuration.
Built for Learning by Doing
Vellum is designed for people who learn best through hands-on building.
Start with one simple agent, then explore how prompts, tools, and workflows connect as you grow.
Each build helps you gain confidence and understand how AI systems work through real experience.
From First Idea to Daily Use in Minutes
Whether you want to organize notes, summarize data, or automate routine tasks, Vellum helps you do it quickly.
You describe what you need, and Vellum builds the working agent automatically.
Tasks that once took hours or days now take just a few minutes to create and use.
Final Takeaway
AI agent building is no longer only for developers or technical experts.
With Vellum, anyone can create smart, reliable agents that deliver real results.
If you can describe it clearly, you can build it in Vellum.
Why beginners should build on Vellum
If you are new to AI, building an agent from scratch can feel overwhelming. There is too much setup, too many tools, and too much code. Vellum makes the entire process effortless. It is built so beginners can go from idea to working AI agent in minutes without touching any technical settings.
Prompt-to-Build Simplicity
On Vellum you go from idea to agent in minutes by prompting Agent Builder
Vellum’s Agent Builder automatically builds the logic, connects the tools, and make the optimal agent build for your use case.
The process feels natural and helps beginners create agents through simple prompts instead of technical steps or drag-and-drop nodes.
AI Apps You Can Actually Use
Vellum allows you to turn your agents into real, usable AI Apps automatically so that you can share your agents with your team or friends.
You can launch them instantly, share them with a simple link, or connect them to tools such as Slack or Notion.
It is the easiest way to turn your agents into tools that improve everyday work.
No-Code, No Headaches
There is no need to touch APIs, frameworks, or complex setups because Vellum’s Agent Builder can be prompted to take care of it.
For more granular control, you have the ability to manually drag, drop, and write nodes in visual orchestration sandbox.
Beginners can focus on creating and experimenting instead of struggling with code or configuration.
Agentic AI is no longer reserved for developers or data scientists. With tools like Vellum, anyone can build AI agents that actually work. You focus on what you want the agent to do, and Vellum takes care of making it run smoothly behind the scenes.
If you can describe it, you can build it.
{{general-cta}}
Extra Resources
FAQs
1) What exactly is an AI agent?
An AI agent is a system that can understand instructions, reason through steps, and take actions using connected tools. It’s like a digital teammate that works on your behalf.
2) Do I need coding skills to build an AI agent?
No. With Vellum’s Agent Builder, you can create fully functional agents just by describing what you want in plain English. The platform handles all the technical setup for you.
3) How long does it take to build an agent in Vellum?
Most beginners can build a simple agent in under an hour. Vellum’s prompt-to-build workflow automatically connects logic and tools, so you can focus on your idea instead of setup.
4) What kinds of agents can I create?
You can create agents for almost anything — summarizing emails, managing customer messages, automating reports, or helping with research. If you can describe it, you can build it.
5) Can I connect my agent to the tools I already use?
Yes. Vellum integrates visually with tools like Gmail, Slack, Notion, and other apps. You simply connect them in your workflow without any API coding.
6) What makes Vellum different from other AI platforms?
Vellum is designed for both beginners and teams. It combines no-code simplicity with powerful features like the Agent Builder, AI Apps, and a visual workflow canvas, all in one place.
7) Can I share my agent with my team or friends?
Absolutely. Once your agent is built, you can turn it into an AI App and share it instantly using a simple link or embed it into your team’s tools.
8) What if my agent doesn’t behave the way I want?
You can easily edit your prompts, adjust the agent’s logic, or modify steps right inside the Agent Builder. There’s no need to rebuild from scratch — Vellum lets you refine as you go.
9) Is Vellum beginner-friendly enough for non-technical users?
Yes. Vellum was designed to help anyone build useful AI agents without needing technical experience. Everything from prompts to tool connections happens in a simple, visual interface.
10) How do I get started with my first agent?
Open Vellum, go to the Agent Builder, and describe what you want your agent to do. Within minutes, you’ll have a working version you can personalize and deploy.
11) Why should beginners choose Vellum over coding-based platforms?
Because Vellum lets you skip the hard parts. You don’t need to learn programming, deal with integrations, or manage orchestration frameworks. You focus on your ideas — Vellum handles the rest.
This beginner friendly guide shows how anyone can build and deploy AI agents without writing code. You’ll learn what agents are, how they work, and how to create one step-by-step using Vellum’s prompt-to-build platform.
Why AI agents matter now
AI agents are quickly moving from hype to habit for people looking to save time on tasks and ramp up output. From humble chatbot beginnings AI agents have evolved into an entire ecosystem of intelligent, goal-driven systems capable of planning, reasoning, and taking action. It used to take complicated tools or deep coding knowledge to build these systems. Today that’s no longer true.
Today instead of writing thousands of lines of code, anyone can build an AI agent simply by describing what they want it to do. Platforms like Vellum make that process effortless: just prompt the system with your goal, connect a few tools, and you’ll have a working agent in minutes. It’s never been this easy to automate, and with that, anyone not automating is already falling behind.
This guide was purpose made to show agent building beginners how to easily build an AI agent in minutes, and why Vellum is the easiest way to start.
What is an AI agent?
An AI agent is a self-directed system that uses an AI model (like GPT-4 or Claude) plus tools, memory, and logic to achieve goals.
Unlike traditional automation, when agents perform tasks they can understand context, make decisions, and handle ambiguity just like a human would.
You can think of an AI agent as a decision loop:
Perceive: Understand input (data, message, or event).
Plan: Decide what steps to take.
Act: Use connected tools to execute those steps.
Reflect: Evaluate the outcome and learn from it.
Repeat: Continue the cycle for better results.
For example, a support triage agent might read a customer email, classify the issue, check the CRM for history, and either respond or route it to the right department. The magic lies in the agent’s ability to reason about what to do next, something rule-based systems can’t do.
Vellum makes this entire process visible through a visual workflow canvas where you can see every tool call, reasoning step, and output.
Key trends shaping the AI agent space
According to PwC about 88% of executives say their companies plan to increase their AI-related budgets this year due to interest in agentic AI. Of those adopting agents, 66% report increased productivity, and 57% report cost savings. [1]
A study by IBM found that, globally, executives expect the proportion of workflows enabled by AI to grow from 3% today to 25% by end of 2025, and that 70% view agentic AI as important to their organisation’s future. [2]
According to the Markets and Markets, the agentic AI market is projected to grow from USD 7.06 billion in 2025 to USD 93.20 billion by 2032, registering a CAGR of 44.6% during the forecast period [3].
An empirical research paper shows that across 84 papers from 2023-25, 83% of evaluations focus on technical metrics, only 30% include human-centric measures, and just 15% cover both technical and human dimensions—highlighting a major gap in real-world readiness. [4]
A market-analysis article by ElectroIQ shows the market still early but scaling fast, with an approximate CAGR of 44.8% and broad adoption. [5]
Why build AI agents?
Until recently, building AI agents required code, infrastructure, and expensive dev time. Beginners often hit these walls: How do you structure prompts? How do you test outputs? What if the agent goes rogue?
That’s where Vellum changes the game. It removes the technical friction and gives you a no-code agent builder that lets you design, test, and deploy agents by simply prompting in plain English.
Just describe your desired outcome (“Build me an AI assistant that routes inbound requests to the right department”), and Vellum auto-generates the agent, connects relevant tools, and debugs any issues you encounter along the way.
For beginners, that means you can focus on what tasks you want to automate, not how to build them. You can use Vellum’s agent builder to safely experiment and iterate quickly without touching APIs or code. This lets you create a workforce of agents all connected to you key business tools and data systems, in only a couple of hours.
How do AI agents work?
AI agents are powered by a repeating loop of perception, reasoning, and action, a process often referred to as the agentic loop.
Let’s break it down:
Goal: Define what success looks like. (e.g., “Answer all support emails in under 10 minutes.”)
Perception: The agent reads incoming emails or tickets.
Reasoning: It interprets context, determines the type of request, and decides on a plan.
Action: Executes by calling tools like CRMs, APIs, or search systems.
Memory: Stores past interactions to provide continuity and learning.
Governance: Enforces guardrails—what the agent can and cannot do.
Why beginners need a no-code builder?
For beginners, coding can be the biggest barrier to bringing AI ideas to life. A no-code builder like Vellum removes that friction. You can simply prompt the platform with the agent you want, and the platform builds it in minutes. It’s the fastest way to experiment, learn, and see real results without needing any technical setup.
Why beginners need an agent builder?
Building an AI agent from scratch is messy because you’d normally have to wire up APIs, manage orchestration frameworks, and debug endless tool integrations just to get something working. For beginners, that complexity kills momentum fast.
Vellum’s Agent Builder eliminates all of it, letting you describe what you want, and it handles the connections, logic, and setup automatically. A process that used to take days to weeks of coding turns into minutes of prompting.
Why beginners need visibility?
Beginners need a level of visibility to understand how their agents think, make decisions, and improve with each run.
On Vellum, you can see this loop come alive: the workflow execution, reasoning trace, and tool usage all within the Workflow Console. You get a level of observability most platforms can’t offer and in turn you can better understand what your agent is doing and how to make it better.
5 Easy Steps to Build Your First AI Agent
The fastest way to learn is to build. Here’s how you can create your first agent on Vellum in under an hour.
1. Describe your goal
Open Vellum’s Agent Builder and type what you want the agent to do in plain English — for example, “Summarize customer emails and reply with key takeaways.” Vellum automatically drafts the workflow from your description.
2. Choose your tools
Connect any apps or data sources your agent needs (like Gmail, Slack, Notion, or a CRM). You can do this visually — no APIs or coding required.
3. Test your agent
Run a few example prompts to see how it performs. Adjust your instructions or refine the goal right inside the Builder until it behaves how you expect.
4. Personalize and refine
Give your agent a name, tone, or style so it fits your use case. You can tweak behaviors or add small logic steps by clicking through the workflow view.
5. Deploy and use it
Once it works the way you like, click Deploy to use your agent in real workflows or share it with your team. You can always come back to edit or improve it later.
Step
What to Do
What Happens in Vellum
1. Describe your goal
Open Vellum’s Agent Builder and type what you want the agent to do in plain English, for example, “Summarize customer emails and reply with key takeaways.”
Vellum automatically drafts the workflow based on your description.
2. Choose your tools
Connect any apps or data sources your agent needs, such as Gmail, Slack, Notion, or a CRM.
You can do this visually, no APIs or coding required.
3. Test your agent
Run a few example prompts to see how your agent performs and adjust your instructions until it behaves as expected.
You get instant feedback directly in the Builder.
4. Personalize and refine
Give your agent a name, tone, or style that fits your use case. Add small logic steps or personality tweaks.
Edit visually in the workflow view, no code required.
5. Deploy and use it
When it works the way you want, click Deploy to use your agent in real workflows or share it with your team.
Your agent goes live, and you can return anytime to improve it.
Best Practices for Beginners
When you’re just getting started, focus on keeping things simple and building confidence step by step. These four beginner-friendly principles we call the 4 Ps. They will help you create agents that actually work and improve over time.
Process
Start small. Pick one simple, repetitive task and build an agent to handle it. Once it works, add another. Small wins stack up fast and teach you what works best.
Prompts
Write clear, specific prompts. Tell your agent exactly what you want it to do and give examples if needed. The clearer your instructions, the better your results. Use Vellum’s agent builder to help you write and optimize your prompts.
Play
You’re still learning so experiment freely. Try new ideas, test variations of your prompt, and see what happens. The more you play, the faster you’ll understand how to shape your agent’s behavior.
Polish
Once your agent does the basics you should now focus on refining it. Adjust tone, phrasing, or style to make it sound natural and on-brand. Good agents come from iteration, not perfection on the first try.
Common pitfalls (and how to fix them)
Even the best builders hit bumps early on. Here are the most common ones, and how Vellum helps you avoid them:
Over-scoping: Trying to make your first agent do too much at once.
Fix: In Vellum’s Agent Builder, start with one clear goal in your prompt (like “summarize new emails”). Once it works, duplicate your agent or open a new Agent Builder thread and expand it step by step.
Flaky tools: Agents can break when connected apps or data sources don’t respond.
Fix: Use the Agent Builder to fix integrations or find alternatives and work arounds to keep your agents reliable.
Unclear prompts: Vague or complicated instructions confuse your agent.
Fix: Use Agent Builder to edit and optimize the prompts you have in your prompt and agent nodes.
Lack of visibility: It’s hard to improve what you can’t see.
Fix: Use Vellum’s Workflow Console to watch your agent’s reasoning and tool usage in real time. You’ll learn how it thinks and where to tweak it.
Section
Key Points
Why Beginners Should Build on Vellum
Building AI agents from scratch can be confusing with too many tools, settings, and code.
Vellum removes that complexity and makes it easy to turn ideas into real agents.
You can go from concept to a functioning AI workflow in minutes without any technical setup.
Prompt-to-Build Simplicity
You do not start from a blank screen; you simply describe what you want the agent to do.
Vellum’s Agent Builder automatically builds the logic, connects the tools, and creates the workflow for you.
The process feels natural and helps beginners build agents through simple prompts instead of technical steps.
AI Apps You Can Actually Use
Vellum lets you turn your agents into real, usable AI Apps for yourself or your team.
You can launch them instantly, share them through a simple link, or connect them to tools like Slack or Notion.
This is the easiest way to turn your agents into tools that improve everyday work.
No-Code, No Headaches
You do not need to work with APIs, frameworks, or complex setups because Vellum’s Agent Builder handles it.
For more control, you can manually drag, drop, and edit nodes in the visual orchestration view.
Beginners can focus on creating and experimenting instead of managing code or configuration.
Built for Learning by Doing
Vellum is designed for people who learn best through hands-on building.
Start with one simple agent, then explore how prompts, tools, and workflows connect as you grow.
Each build helps you gain confidence and understand how AI systems work through real experience.
From First Idea to Daily Use in Minutes
Whether you want to organize notes, summarize data, or automate routine tasks, Vellum helps you do it quickly.
You describe what you need, and Vellum builds the working agent automatically.
Tasks that once took hours or days now take just a few minutes to create and use.
Final Takeaway
AI agent building is no longer only for developers or technical experts.
With Vellum, anyone can create smart, reliable agents that deliver real results.
If you can describe it clearly, you can build it in Vellum.
Why beginners should build on Vellum
If you are new to AI, building an agent from scratch can feel overwhelming. There is too much setup, too many tools, and too much code. Vellum makes the entire process effortless. It is built so beginners can go from idea to working AI agent in minutes without touching any technical settings.
Prompt-to-Build Simplicity
On Vellum you go from idea to agent in minutes by prompting Agent Builder
Vellum’s Agent Builder automatically builds the logic, connects the tools, and make the optimal agent build for your use case.
The process feels natural and helps beginners create agents through simple prompts instead of technical steps or drag-and-drop nodes.
AI Apps You Can Actually Use
Vellum allows you to turn your agents into real, usable AI Apps automatically so that you can share your agents with your team or friends.
You can launch them instantly, share them with a simple link, or connect them to tools such as Slack or Notion.
It is the easiest way to turn your agents into tools that improve everyday work.
No-Code, No Headaches
There is no need to touch APIs, frameworks, or complex setups because Vellum’s Agent Builder can be prompted to take care of it.
For more granular control, you have the ability to manually drag, drop, and write nodes in visual orchestration sandbox.
Beginners can focus on creating and experimenting instead of struggling with code or configuration.
Agentic AI is no longer reserved for developers or data scientists. With tools like Vellum, anyone can build AI agents that actually work. You focus on what you want the agent to do, and Vellum takes care of making it run smoothly behind the scenes.
If you can describe it, you can build it.
{{general-cta}}
Extra Resources
FAQs
1) What exactly is an AI agent?
An AI agent is a system that can understand instructions, reason through steps, and take actions using connected tools. It’s like a digital teammate that works on your behalf.
2) Do I need coding skills to build an AI agent?
No. With Vellum’s Agent Builder, you can create fully functional agents just by describing what you want in plain English. The platform handles all the technical setup for you.
3) How long does it take to build an agent in Vellum?
Most beginners can build a simple agent in under an hour. Vellum’s prompt-to-build workflow automatically connects logic and tools, so you can focus on your idea instead of setup.
4) What kinds of agents can I create?
You can create agents for almost anything — summarizing emails, managing customer messages, automating reports, or helping with research. If you can describe it, you can build it.
5) Can I connect my agent to the tools I already use?
Yes. Vellum integrates visually with tools like Gmail, Slack, Notion, and other apps. You simply connect them in your workflow without any API coding.
6) What makes Vellum different from other AI platforms?
Vellum is designed for both beginners and teams. It combines no-code simplicity with powerful features like the Agent Builder, AI Apps, and a visual workflow canvas, all in one place.
7) Can I share my agent with my team or friends?
Absolutely. Once your agent is built, you can turn it into an AI App and share it instantly using a simple link or embed it into your team’s tools.
8) What if my agent doesn’t behave the way I want?
You can easily edit your prompts, adjust the agent’s logic, or modify steps right inside the Agent Builder. There’s no need to rebuild from scratch — Vellum lets you refine as you go.
9) Is Vellum beginner-friendly enough for non-technical users?
Yes. Vellum was designed to help anyone build useful AI agents without needing technical experience. Everything from prompts to tool connections happens in a simple, visual interface.
10) How do I get started with my first agent?
Open Vellum, go to the Agent Builder, and describe what you want your agent to do. Within minutes, you’ll have a working version you can personalize and deploy.
11) Why should beginners choose Vellum over coding-based platforms?
Because Vellum lets you skip the hard parts. You don’t need to learn programming, deal with integrations, or manage orchestration frameworks. You focus on your ideas — Vellum handles the rest.
Nick is Vellum’s technical content lead, writing about practical ways to use both voice and text-based agents at work. He has hands-on experience automating repetitive workflows so teams can focus on higher-value work.
ABOUT THE reviewer
Anita Kirkovska
Founding Growth Lead
An AI expert with a strong ML background, specializing in GenAI and LLM education. A former Fulbright scholar, she leads Growth and Education at Vellum, helping companies build and scale AI products. She conducts LLM evaluations and writes extensively on AI best practices, empowering business leaders to drive effective AI adoption.
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