[encryptedsyntaxinstitute]

I actually started using AI heavily with TradingView and day trading. I used it to help develop strategies that could monitor multiple market conditions simultaneously, analyze incoming data, and automate parts of the buying and selling process. That made it possible to identify certain opportunities and enter or exit positions. Since I have ADD, this process still did not make money quick enough for my liking, so I switched to creating in-depth networks, which keeps my mind active and doesn't leave room to zone out.

One of my biggest uses for AI has been in-depth QA across the 100-plus network environments hosted on my dedicated server. It helps me review configurations, validate lab workflows, identify inconsistencies, troubleshoot failures, and repeat tests much faster than I could manually. I use it moderately during the day, but I run it overnight every night to continuously do QA over the server.

The biggest thing I’ve learned is that AI is only as useful as the person directing it. It saves me a lot of time, but I don’t blindly accept whatever it gives me. I still check the work, make the decisions, and take responsibility for the result.