Honestly, what helps me most is using it to break down long, messy documentation and drafting initial Python scripts for data cleanup. Instead of spending an hour writing regex or fixing nested Excel formulas by hand, I can just paste a sample dataset or error trace and get a workable draft in seconds. The context window handling on the newer models is also pretty solid, so I can dump in a couple of SOP pages or guidelines and ask it to pull out specific compliance points without it hallucinating too badly. Saves a lot of manual grunt work during the week. Review collected by and hosted on G2.com.

The main issue is the subtle hallucination when it handles technical numbers or niche regulations. It sounds completely confident even when it invents a stat or misquotes a guideline, so you can never just copy-paste without verifying every single detail manually. Also, the session context tends to degrade if a conversation gets too long, it starts forgetting constraints you set a few prompts earlier and reverts to generic responses. The rate limits during peak hours are another annoying bottleneck when you're in the middle of a workflow. Review collected by and hosted on G2.com.