I am using n8n for generating agentic AI agents. I will explain this via one example. We have a requirement to create a chatbot for a university website. For that purpose, we have used n8n. Students will directly come to our chatbot and ask about courses, departments, and fees. Our agentic agent will respond to their inquiries.

We are also using n8n for HR purposes. We have stored all documents in GitHub and converted all documents into vectors, storing that information in Pinecone. We have used n8n to retrieve the information based on the user's query.

n8n supports connectivity to any application. We can easily connect any application with n8n, which is a feature I really appreciate.

In the previous examples with Pinecone and the chatbot application, we have utilized Gemini and OpenAI as an LLM. With the help of n8n, we have easily connected them. We have also connected Google Spreadsheet to get data from Google Sheets and save the data back to Google Sheets. We have done this very easily without coding.

n8n has helped us build agents very quickly. Without coding, we can accomplish this. Our business is growing faster because we have created workflows that help us improve our business.

We have improved time, cost, and productivity. All three have been improved.

n8n could benefit from a better UI. Currently, n8n provides workflows and we can easily create workflows and connect most applications. However, if n8n provided AI integration where we could just type via text and it would generate a workflow, that would be very useful.

Currently, when I configure n8n or create a workflow, I have to do everything manually. We do not have any AI with an LLM where I can just provide information in human language and it will convert or create the workflows. That is why I have deducted two points.

I have been using n8n for one year.

I have set up n8n on our local server, which is on a Contabo-based server, and sometimes it was losing connection. I have to restart it again and again. That type of issue I was experiencing.

We can scale up as per our need. I do not face any issues with scaling up.

I am not aware of customer support because nowadays many AI things are available in the market. I do not have to reach out to n8n customer support. I just ask a question to ChatGPT or Gemini, and it will answer my questions. I have not contacted them.

I have not used another solution. Currently, n8n was good. That is why we have started reviewing it.

If we use n8n, we will save time and money with fewer employees.

n8n is a very good product. It will save time and add more productivity. It will also reduce the work of humans if you utilize it in a better way. If anybody wants to use it, that is a very good product.

I am a customer as well as a developer. I would rate this product an 8 out of 10.

A main use case for n8n is connecting different platforms and using workflows to optimize day-to-day operations. One of the main examples is our sign-up flow. Whenever someone signs up, we create a record in our CRM, send them an email welcoming them, and send a notification into our internal communication channel announcing the new sign-up. All of these actions are done via n8n. We receive a webhook whenever someone signs up, and all of these nodes are connected, so the automation is built that way.

n8n is used extensively for many things. We use it to feed documents to our agents. We use it to go through our database records and filter out chats with issues. We use n8n in our reporting for the part where we send actual emails to clients. With n8n, the limit is just the sky.

n8n has impacted our organization positively. Whenever a new account is created, the CRM account is created and the notification is passed into our internal communication channels. Earlier, people would get notified of new clients joining only when they checked the CRM. Currently, even if they join in the middle of the night, we get a notification through n8n. Those kinds of things overall have saved a lot of time in our organization.

n8n is saving somewhere around two to four hours every week. I would estimate it to be around four to six hours per week, though I am an automation engineer doing automations and saving time for other people, so I am not the one to give the exact figure.

The best features n8n offers are the developer-friendliness, which makes n8n exceptional. You can use expressions anywhere. Expressions are basic JavaScript functions or JavaScript code that you can put in any node to pass data dynamically. I have not seen that kind of flexibility in make.com, Zapier, or any other platforms in the same domain. The flexibility for development and developer options are the best aspects of n8n.

Regarding the features, all of those are really good. Recently there is a great rise of people using n8n. People are posting about it every day with mind-blowing automations, including fully automated content pipelines and fully automated email reply agents. n8n is simply the best platform for these automation scenarios. The UI is also good. I would not say it is the sleekest, but I might prefer Zapier's UI a little more, but n8n gets the job done and gets the job done the best.

n8n can be improved in the way that the UI could be better. There is a version two of n8n that I saw demonstrations of. It is a little better, but I think the UI could use a more futuristic approach. I am biased because I am also a designer. When connecting nodes and referring to earlier nodes, the structure that has to be followed is sometimes confusing. To write an expression to refer to data from an earlier node, sometimes you have to use item.json, and sometimes you have to use json.first. Those kinds of things are sometimes confusing, but when you get into it, you will figure it out.

I do not think there are any other things to be added for improvements. The performance is good. Documentation is really good. I do not think there is anything else to add.

I have been using n8n for more than a year. I started using it for personal projects when I was working in a different company. When I joined this company, my skills in n8n were what got me selected. I have been using it from the day I started at this company. It has been almost one year.

One of the main pieces of advice I would give to others looking into using n8n is regarding the self-hosted version. You will have to update it regularly. Otherwise, you will miss out on a lot of new features and security patches. It does not get updated automatically. You have to go and update yourself manually. I know that is a hassle, but it is really worth the time. Another thing is to always keep an eye on the newly added nodes. People are creating new nodes and uploading them to the community all the time, and people are creating new workflows as well. There are really creative workflows out there. If you keep an eye on the community, you will find a lot of hidden gems. My overall rating for n8n is a 9 out of 10.

I started using n8n about five months ago.

My main use cases for n8n are creating automations for the company and automating whatever can be automated in the company, whether it's with the product or with the business side.

An example of an automation I've set up with n8n is automating a catch-all inbox that receives hundreds of emails every day. I created a workflow that triggers when I get the email, reads it, and sends it through a workflow to be processed by an AI agent, specifically Gemini. Gemini decides if the email is important or unimportant, labeling it accordingly. The goal for this automation is to reduce the time users spend to see only important emails in their inboxes.

The best features n8n offers in my experience include integrations with many existing apps, such as Gmail, where you can already get messages, send messages, and label them, all included in the workspace without needing to use API requests. This is very useful because it has many apps with predefined functions.

Another feature I really appreciate is the visual aspect, meaning your workflow is visual, allowing you to understand data flow direction and see the data in different views, whether it's in a table or JSON.

The features I rely on the most day-to-day are the integrations with AI agents, such as Gemini LLM, which allows me to send questions in a useful format to get answers. This process is essential for me and is something I utilize every day.

n8n helps automate jobs that no one enjoys doing, which are very repetitive. It saves time and money because it handles those boring tasks that can now be automated.

For the example I mentioned earlier, it saves time significantly; instead of taking an hour a day, it only takes about five minutes, which is around ten percent of the original time. Although it takes some time to create the automation, it becomes very valuable in the long run.

I would appreciate having more AI integrated into n8n, specifically an AI agent to help me better understand how to build workflows and assist when I encounter errors. Additionally, it would be helpful to have the option to open the same workflow in multiple tabs, allowing me to see the data from one execution while simultaneously viewing another workflow.

Clearer and more documentation would be beneficial. I've seen helpful videos on YouTube to understand how to use n8n with examples, but it would be great if n8n could provide its own guided instructions for different topics and use cases.

I have been working in my current field for the last six months.

From my experience, n8n is stable, though the part that can be less stable is that you must stay connected to many APIs. If something disconnects for any reason, n8n doesn't notify you about it, which is something I would appreciate seeing improved.

n8n is scalable for my needs as I can have more workflows running simultaneously. The standard solution allows for about five workflows at the same time, and it is scalable since I can upgrade my plan for more executions and workflows if needed.

My experience with pricing and setup costs has been good. I feel that the price is right as I'm using the standard version, which allows for about one thousand five hundred executions per month, which is sufficient for me and my organization. It seems scalable, so if more executions are needed, I can pay a bit more.

I believe the return on investment from using n8n is good because employees who previously worked on the specific problems I've automated can now focus on other, more interesting tasks without spending so much time on repetitive ones.

My experience with pricing and setup costs has been good. I feel that the price is right as I'm using the standard version, which allows for about one thousand five hundred executions per month, which is sufficient for me and my organization. It seems scalable, so if more executions are needed, I can pay a bit more.

Before choosing n8n, I considered using Zapier or Make, but I didn't try them. I noted that they are more expensive, and if you are a developer with good technical skills, n8n is generally better, based on reviews and YouTube videos I watched, which is why I chose n8n.

The pricing is fair.

I use the on-cloud solution that n8n recommends, and I pay the monthly standard fee for their services to deploy it.

My advice for others looking into using n8n is to just try it; you will see how it can benefit your organization. There are many options and workflows you can create and automate, so I highly recommend giving it a shot. I would rate this product an eight out of ten.

I use n8n to automate business processes. For example, if a customer calls and wants to buy goods, I can automate that process by integrating n8n to the voice service so that n8n takes the information from the voice service and then inputs it to the client's CRM. The client gets all the information needed based on what the customer asked.

I have used n8n with Vapi, a voice solution. I have used it with Airtable and Google Sheets. I have used it with many platforms including Vultr and 11 Labs. I have integrated n8n with virtually anything as long as they have good documentation in their platform. The key is knowing your endpoints and how to connect using an HTTP request.

The primary benefit is automation, which saves costs and time for repetitive tasks. For example, I do not need to hire a data entry specialist to input data in my system. I can automate that process with n8n and save costs and time. I can use the time I would have spent on that to do other things. Customer service can also be automated through voice. I can set a time in n8n, do my configuration, and input the numbers I want to reach out to. Once it is that time, the workflow will automatically trigger and those clients will be called simultaneously. I do not need to call one person, wait for the call to finish, and then call another person. I can call all of them at once, saving me time.

n8n has really helped me improve my data management because I do not need to do much work. I have automated my businesses so that I just need to set my voice AI agents. When anybody calls my number, n8n will automatically register that call into my Google Sheets or Airtable. When I review the transcript, I know exactly what went on. If something requires me to call the customer back, I can also do that automatically using n8n. I can do it manually too, but sometimes I prefer to do it automatically just to save time and cost.

What I like about n8n is the ability to customize your workflow. I can do virtually anything with n8n with the HTTP request node. I can customize anything and do any automation with it. Unlike some other automation platforms, I am not limited in my own customization.

n8n's user interface is very good. Recently, they upgraded their service to include AI. I can just talk to the interface. For example, I can type what I want to achieve, and the AI will build the framework for me so that I just need to input my credentials and then start the automation. They have a very friendly user interface.

Data privacy is handled well in the sense that my information is saved with me. I am not worried about data privacy because everything is stored in my own virtual environment. My clients know that the information is not leaking or being sold to anybody.

What I would like for them to improve is to include more nodes and different service provider integrations, just the way Zapier does. They have so many integrations. I really want them to add many more integrations to their platform. I know they are trying, but they still need to add more to it. Even though I can connect to different platforms with the HTTP node, it would be easier for people who are not technically advanced to connect with the internal integrations. I would like them to have more connections.

I have been using n8n for close to two years.

I have not had any downtime with n8n. It has always been up and running unless I fail to pay my VPS provider and then they might shut me down. As long as I am subscribing, it is always up and running.

n8n is scalable. I find it to be scalable.

I have not actually asked any questions regarding customer service.

I think it is $20 to $25 per month. I cannot really get the exact figure, but it is not more than $25 per month. The minimum price is $25.

First of all, the cost is a major factor. The open source version is free. I only need to pay for my VPS. Secondly, regarding the number of runs, the open source version has unlimited runs, while the paid version has a limited number of runs unless I upgrade my plan to have different amounts of runs. That is the difference between open source and the paid n8n.

The difference between n8n and Zapier and Make is basically the integration. n8n has less integration than what Make and Zapier have. Many people, since there are not so many technical persons, tend to go for Zapier, more especially for their workflow because it is drag-and-drop functionality. Unlike n8n, where I might need to do something with a particular platform and that platform is not on n8n, I then have to do API calls and HTTP requests and set parameters, which is a little bit advanced for some persons. That is the main difference. The cost is also a factor. Zapier is expensive, but n8n is cheaper. Make.com is expensive too, but n8n is affordable. If I am a less technical person and have the money, I might go for Zapier. If I am a budget-conscious person, I can go for n8n. However, I have to be a little bit technical because n8n does not have more comprehensive integrations the way Zapier and Make have. That is the difference.

n8n is a really good automation platform where I can use it to automate my businesses and processes and also save money and time. The most important thing is to learn how to use the software. If I can use the software and know how to integrate different platforms to communicate with each other, then I will save a whole lot of money because n8n is cheaper and it does not get tired. It does not make mistakes. Mistakes can also cost money. Using this automation tool will help me reduce that situation. I really encourage people to use n8n if they can use it and if they are technical persons. If they are not technical persons, there are also different tools they can use to learn. YouTube is available for learning how to automate these things or how to use the software. My overall rating for n8n is 9 out of 10.

I used n8n for data management. Having the opportunity to use Airtable as an integration was a great fit to visualize and organize the data. When I had the possibility to retrieve information or store information in Airtable, it made things easier.For my use cases, I looked at the output. When there was a formula that needed to be filled, I examined how the information was then sent to the end user. I verified whether the output matched what was required, and I tested by asking questions to see how they retrieve information and whether the sources were provided.

The user-friendly interface positively impacted the team's workflow efficiency. I utilized n8n's ability to connect and integrate diverse applications. From a security standpoint, the data privacy features in n8n are important. Overall, n8n has impacted the organization positively and provided significant benefits.

There are areas that could be improved or enhanced in n8n. From a features and functionality perspective, there are specific features that are missing in n8n at the moment that I would like to see included in the future.

I have been working with n8n for some time.

Regarding the stability aspect and performance, I have not experienced any downtimes, crashes, or stability issues with it.

I find n8n to be scalable.

Apart from n8n, I have researched other automation approaches. I came across CrewAI for orchestrating agents and had a quick look at LangChain. However, n8n was the most popular at that time, and I saw many videos and tutorials about it, which encouraged me to try it out.

The initial setup process with n8n was straightforward, and I did not face any challenges or complexities during the initial setup.

I do not have detailed information about the pricing, setup cost, or licensing cost of n8n.

n8n is actually used for many workflows, specific to healthcare and the supply chain industry, though I cannot say anything specific and must remain abstract.

I have used n8n to connect diverse applications across different operating systems and different API calls. However, I am yet to see direct access to queues and Kafka queues.

The best features of n8n are its low-code capabilities with everything at your disposal. The connectors are getting enriched, which is beneficial. It's all about these low-code tools. I don't see any difference between this and classical EAI; it's a kind of integration where we are doing extensive integration with different sources and targets, and here we are interacting with different sources and targets to apply the enriched data to the models and everything so that it makes better decisions.

They haven't fully helped tailor solutions for our needs. We need to make adjustments, enhancements, and create custom workflows. I'm not saying it is completely ready at this time, but it solved most of our purposes. You cannot ask for everything as these products are getting to a matured stage, so we have to give some time for them to reach maturity.

Regarding integrations, if they can make it more seamless and beef up their workflow constructs, that would be great.

Another improvement would be in making n8n more popular through a similar approach to Kafka's documentation. Kafka has created ten-minute capsules of every use case, covering basics, foundational concepts, and each construct in detail. If a newbie spends at least a week studying the documentation, they'll be equally proficient. Any experienced person, senior developer, or architect who goes through Kafka's documentation and videos will have a good jumpstart. If n8n applies a similar methodology, that would benefit the entire community and help them grow faster.

I have experience with n8n for approximately one plus years.

The initial setup was not complex; it was straightforward.

I did not get much opportunity to deal with their customer service or technical support for n8n.

I deployed it alone.

As a chief principal architect, I maintain a hands-on approach to implementation.

The documentation in general was adequate, though it could definitely be better. However, it was decent enough for what I needed.

On a scale of 1-10, I rate n8n a seven out of ten.

Our customer's main use cases for n8n are extensive, as they are heavily utilizing it. n8n is clubbed with MCP, MCP protocols in terms of tracking, alerting, and automating some of the jobs, specifically in terms of billing, invoice generation, infrastructure monitoring, and downtime management; these are the areas where this platform is used.

The most valuable features in n8n that I can highlight are its flexibility and ease to configure. Adaptation is pretty easy. It requires a little bit of programming skills, but comparatively, it's the shortest time window one can get comfortable with. People who have Python programming experience can get their comfort pretty easily.

Adaptability, scalability, and integrational flexibility are the top features at this point of time.

The capability of n8n to connect different applications and automate tasks while supporting over 200 pre-built integrations is pretty effective. So far, we have had all good positive thoughts about it. Our infrastructure teams are more vigilant about the security part and about data flow and data privacy at this point of time, but otherwise, the adaptation and flexibility of the tool is pretty good.

Regarding n8n supporting over 200 pre-built integrations, this capability contributes to the organization's communication in a pretty effective way.

I am familiar with the visual editor for designing workflows in n8n and it adds great value. It serves as a miniature digital twin framework to capture the existing as-is process flows. That design and visualization feature definitely adds a lot of value to the overall service portfolio.

The impact of real-time execution logs on optimizing the workflows is quite effective, but currently, the solutions we have prepared using this product are in a semi-production area only. We have not yet put it onto the production area.

What could possibly be improved in n8n to make this solution better for the next release is still a navigating process for us. I don't think I'm in a position to provide the improvement areas yet because we are still learning and discovering them.

Regarding the cost, scalability, and initial setup, I can think that for a bigger enterprise environment, the scalability, based on my observation, could be improved since we haven't fully explored that modular adaptive nature of n8n.

There are limitations in scalability.

We have been working with n8n for more than six months now. We started using and exploring it around December.

The deployment part is straightforward initially. If the environment grows and if n8n is scaled to the enterprise, customer-friendly plans would definitely help. Right now, it appears as a one-size-fits-all plan.

In terms of stability, n8n is pretty good; I don't see a challenge. I would rate it seven and above in stability.

There are limitations in scalability. For scalability, I would rate n8n above seven, as we are still in the process of setting up the platform and configuring it.

I have contacted tech support regarding n8n, but that is where we are struggling. We are not in SaaS platform mode of subscription, nor using a standard plan; instead, we are utilizing a customized plan of setting the server in our environment.

For the support rating, I would give it about a five; it's not too bad, but not too great either. It's acceptable.

We do have good experience with other AI automation tools, mostly the open-source ones. Another open-source tool we are working with is make.com.

Regarding the cost, scalability, and initial setup, for a bigger enterprise environment, the scalability, based on my observation, could be improved since we haven't fully explored that modular adaptive nature of n8n.

Our customers do see a return on investment with this solution; it absolutely offers value for money. One direct correlation is in terms of the amount of automation the tool provides, which directly impacts the number of people who can perform those tasks.

For a small license part, I find n8n is reasonable. But the minute you expand, I believe it becomes a bit on the high side.

I haven't had an opportunity to utilize the error management system. We haven't explored the security module features completely, so it wouldn't be fair to conclude in a generalistic way. Our teams are still exploring that module.

I would definitely recommend n8n to those who would want to use it, even though there are some challenges. It is one of the pretty effective products in the AI automation area, and it can grow leaps and bounds if some of these things are taken care of. It is pretty effective and one of the best tools I have seen.

On a scale of 1-10, I rate n8n an 8.