By skyforbes 
If you work in QA (Quality Assurance), you know how much time reporting can consume. Every day, I used to spend over an hour summarizing test results, writing repetitive updates, and formatting reports for Slack or Jira. By the end of the week, that’s nearly a full workday spent just on documentation.
The process was necessary but draining — and it often felt like I was doing more “reporting” than “testing.” I’d manually copy test outcomes, paste screenshots, write summaries, and review wording to make it sound professional. Even though I valued accuracy, I knew there had to be a smarter way.
That’s when I decided to bring AI automation into the workflow — not to replace my role, but to remove the repetitive parts of it.
The Problem: Daily Reports That Stole My Focus
Most QA engineers face a common productivity trap: manual reporting. It’s not that the work is difficult; it’s just repetitive, time-consuming, and mentally draining.
Every test cycle, I’d go through the same motions: export results from our testing tool, summarize defects, format text for management, and update a shared Notion page. By the time I finished, I’d lost my focus and energy…