Support Escalation Engineer at Persistent System Limited
MSP
Top 5
Jul 27, 2026
My advice to others looking into using AI Engineer would be to start with a clear understanding of the problem you are trying to solve rather than focusing only on the AI technology. Learn the fundamentals of Python, data analysis, APIs, and prompt engineering, and practice with real-world projects. Remember that AI is a tool to assist you, not replace you, so always validate the output and keep learning. The more you combine it with your domain knowledge, the more value you will get from it. Continued improvement in enterprise integration and support for organization-specific knowledge would be beneficial. I would also appreciate more customizable workflows and clearer explanations for how the AI arrives at its recommendations. Overall, it has been a valuable tool that has seriously improved productivity, and I would be happy to continue using it. From an end-user perspective, the pricing of AI Engineer is reasonable for the value it provides. The productivity gains and time savings easily justify the cost, especially for the teams that use it regularly. It helps reduce manual effort, speeds up the process, and improves troubleshooting and documentation, so the return on investment is quite good. I think more flexible pricing options for smaller teams or individual users would make it even more accessible. Overall, I feel the pricing is fair considering the features and benefits it offers. I would rate this product a nine out of ten.
Agentic Automation is an innovative solution dedicated to optimizing workflows through enhanced efficiency and intelligent task management, designed for organizations aiming to streamline operations and improve productivity. Agentic Automation offers a robust platform that combines machine learning technologies with user-friendly interfaces, offering businesses an adaptable tool for process automation. Able to integrate with existing systems, it removes bottlenecks by automating routine...
My advice to others looking into using AI Engineer would be to start with a clear understanding of the problem you are trying to solve rather than focusing only on the AI technology. Learn the fundamentals of Python, data analysis, APIs, and prompt engineering, and practice with real-world projects. Remember that AI is a tool to assist you, not replace you, so always validate the output and keep learning. The more you combine it with your domain knowledge, the more value you will get from it. Continued improvement in enterprise integration and support for organization-specific knowledge would be beneficial. I would also appreciate more customizable workflows and clearer explanations for how the AI arrives at its recommendations. Overall, it has been a valuable tool that has seriously improved productivity, and I would be happy to continue using it. From an end-user perspective, the pricing of AI Engineer is reasonable for the value it provides. The productivity gains and time savings easily justify the cost, especially for the teams that use it regularly. It helps reduce manual effort, speeds up the process, and improves troubleshooting and documentation, so the return on investment is quite good. I think more flexible pricing options for smaller teams or individual users would make it even more accessible. Overall, I feel the pricing is fair considering the features and benefits it offers. I would rate this product a nine out of ten.