AI AUTOMATION ENGINEER at a consultancy with 51-200 employees
Real User
Top 10
May 6, 2026
I have been exploring more freelance projects since leaving my company, focusing on AI agent workflows and AI automation. I have been working on platforms like Dify and n8n to explore the automation capabilities for job searching and gaining knowledge. I have interacted with Dify's advanced reranking models for RAG and custom front-end UIs. Over the last three months, I have been exploring MCP in workflows and automating job searches.
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.
We used Dify to create and test an agentic workflow and an AI agent model with some of the tools and RAG models. We used it to test how it works and how to implement it for part of our core product in our company. We created an AI marketing agent using Dify, and the idea was that it can look into your marketing platforms, for example, Facebook, Google Ads, and Google Analytics. Those are the marketing platforms that we targeted, and instead of manually moving through dashboards, the idea was an agent will have access to your marketing data and can go through this data and provide you with reports and insights and suggestions. We used Dify's visual workflow builder to build this. I tested Dify about six months ago for some of the tasks that we had for building some kind of a product, and I used it for two months and then did not use it very much after that.
Dify provides seamless integration and innovative features that optimize business processes for enhanced productivity. Its user-friendly design accommodates diverse use cases, making it a versatile choice for organizations seeking efficiency.Dify revolutionizes workflow management with its intuitive platform. Designed with adaptability in mind, it serves businesses across industries by streamlining operations and facilitating collaboration. Dify's ecosystem allows for the integration of...
I have been exploring more freelance projects since leaving my company, focusing on AI agent workflows and AI automation. I have been working on platforms like Dify and n8n to explore the automation capabilities for job searching and gaining knowledge. I have interacted with Dify's advanced reranking models for RAG and custom front-end UIs. Over the last three months, I have been exploring MCP in workflows and automating job searches.
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.
We used Dify to create and test an agentic workflow and an AI agent model with some of the tools and RAG models. We used it to test how it works and how to implement it for part of our core product in our company. We created an AI marketing agent using Dify, and the idea was that it can look into your marketing platforms, for example, Facebook, Google Ads, and Google Analytics. Those are the marketing platforms that we targeted, and instead of manually moving through dashboards, the idea was an agent will have access to your marketing data and can go through this data and provide you with reports and insights and suggestions. We used Dify's visual workflow builder to build this. I tested Dify about six months ago for some of the tasks that we had for building some kind of a product, and I used it for two months and then did not use it very much after that.