I am using Dify to automate some of my tasks, for example, sending emails to my clients, reaching out to new customers, and creating end-to-end automation for my clients.

Recently, I helped one of my clients from Denmark automate his end-to-end BI task using Dify, where I connected some EU-hosted inference providers and we built an end-to-end BI pipeline using Power BI modeling MCPP server. Now he does not need to check the dashboard every day; instead, he gets notifications on Slack, and AI completes all the data analysis and sends alerts in Slack.

Since we have a very small team, when we analyze our data, we cannot hire a proper BI and data team. With Dify, we have built automation that acts as a data analyst.

The first feature Dify offers, in my experience, is the ability to bring your own model and connect to different tools, making it very simple to build and get started. That is why I prefer Dify compared to other automation tools such as n8n or Flowise or some other providers.

Compared to other tools, for example, n8n, which promotes that it is very easy for non-technical people to start using AI and build their own automation, I have found that when you start with n8n, you still require technical skills. On the other hand, Dify is very handy; once you log in, you can use some pre-built templates to get started, and that is what I truly appreciate about Dify.

The interesting projects and the flexibility I appreciate about Dify are that you can bring your own inference provider and model provider. I am in the EU, and that is the biggest problem we face: we always have to use AI while complying with GDPR, General Data Protection Regulation. It is very easy to bring your own LLM provider and build automation in Dify, which is what I appreciate about it.

Dify stands out to me because it is compliant with GDPR, and it is 100% compliant with GDPR rules. I have not found any documents or documentation on other providers such as n8n and some other automation tools. Dify clearly explains how they are processing the data, which is why I appreciate it and why I am rating Dify a ten.

With the AI-powered data analysis we built, we achieve cost savings since we do not need to hire a person specialized in data analysis. It also results in time saving and cost saving.

Adding more pre-built advanced templates, progressing from basic to advanced templates, will help new users onboard faster. People who are already using Dify can quickly pick the pre-built templates as well.

For EU customers, adding more documentation about how Dify processes the data when starting to use Dify would be really beneficial for companies in Europe to get started with Dify.

I have been using Dify for almost a year.

Dify is stable in my experience.

Dify's scalability is very high, so you do not need to think too much about scalability.

Customer support is also great, which is one of the things I appreciate about Dify; whenever you have questions, you get an instant answer.

I did not switch to any different solution apart from Dify; I have tried others and then I came back to Dify.

When automating something, you are indirectly converting manual tasks into automation, which means you do not need to repeat those tasks manually. This results in cost saving and time saving, as whenever you save some time, that is equal to cost saving.

The experience with pricing is that it is quite reasonable, and the setup cost depends on our usage, so I do not have any complaints regarding this.

I evaluated n8n before choosing Dify.

I would definitely advise whoever is going to start with Dify to begin with some basic automation and then progress to more advanced automation. I am rating Dify a ten out of ten. I am rating customer support a nine out of ten.