Support Escalation Engineer at Persistent System Limited
MSP
Top 5
Jul 27, 2026
I have been using AI Engineer for about one and a half years, primarily to explore the AI workflow, automate repetitive tasks, and experiment with the integration of AI into support operations. Over that time, I have become comfortable with its core capabilities and have used it regularly for both learning and practical uses. One example of how I have used AI Engineer to automate a repetitive task is automating ticket analysis. We receive support cases with logs and error details, so I use AI Engineer to summarize them, identify possible root causes, and suggest troubleshooting steps. It also helps me draft customer responses and documentation. This has reduced the time spent on repetitive tasks and lets me focus more on solving the issue. I always review the AI output before using it, but it has definitely improved my productivity and consistency. I really appreciate how AI Engineer integrates into my daily workflow instead of feeling like a separate tool. I use it to summarize logs, explain unfamiliar errors, generate scripts when needed, and improve technical documentation. It also helps me validate troubleshooting approaches before I communicate with the customer or internal teams. Overall, it has helped save time, improve the quality of my work, and let me focus more on solving issues rather than spending time on repetitive tasks. I mainly use AI Engineer for small automation scripts rather than large applications. For example, it helped me with a Bash script for log cleanup and monitoring, a Python script to parse log files and extract an error pattern, and a PowerShell script for simple Windows administration. It also helps generate SQL queries when I need to analyze data quickly. I usually customize and test the scripts before using them, but it gives me a solid starting point and saves a lot of time. One more feature I appreciate is that it explains the code it generates, making it easier to understand, modify, and learn from instead of just copying and pasting it. This has been especially useful in my day-to-day support work.
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I have been using AI Engineer for about one and a half years, primarily to explore the AI workflow, automate repetitive tasks, and experiment with the integration of AI into support operations. Over that time, I have become comfortable with its core capabilities and have used it regularly for both learning and practical uses. One example of how I have used AI Engineer to automate a repetitive task is automating ticket analysis. We receive support cases with logs and error details, so I use AI Engineer to summarize them, identify possible root causes, and suggest troubleshooting steps. It also helps me draft customer responses and documentation. This has reduced the time spent on repetitive tasks and lets me focus more on solving the issue. I always review the AI output before using it, but it has definitely improved my productivity and consistency. I really appreciate how AI Engineer integrates into my daily workflow instead of feeling like a separate tool. I use it to summarize logs, explain unfamiliar errors, generate scripts when needed, and improve technical documentation. It also helps me validate troubleshooting approaches before I communicate with the customer or internal teams. Overall, it has helped save time, improve the quality of my work, and let me focus more on solving issues rather than spending time on repetitive tasks. I mainly use AI Engineer for small automation scripts rather than large applications. For example, it helped me with a Bash script for log cleanup and monitoring, a Python script to parse log files and extract an error pattern, and a PowerShell script for simple Windows administration. It also helps generate SQL queries when I need to analyze data quickly. I usually customize and test the scripts before using them, but it gives me a solid starting point and saves a lot of time. One more feature I appreciate is that it explains the code it generates, making it easier to understand, modify, and learn from instead of just copying and pasting it. This has been especially useful in my day-to-day support work.