General tip is *iterate*. Look at what it does right and does wrong, and refine. My most complex prompt took me 2 weeks of work to get right, and I just spent a half a day improving that even more. Obviously not worth it unless you are going to be be doing something major. In my case it is for 2 years of work, so clearly worth it.

Somebody else mentioned they had great success at math heavy code. I had to develop a complex piece of software that also integrated into 4 existing systems with a lot of poorly documented constraints. I tried with the major models and Gemini provided the most structured solution that would allow me to work on it, add features etc in the future, and it created an MVP in one shot after working through the planning stage in detail. I have managed to work on that code afterwards quite successfully. It is by far the best model for language tasks like OCR and translation. In my opinion the benchmarks, which put it first for this, are far from showing how far ahead it is because it responds so well to iterating on a prompt. So I think it is good to great for a wide variety of things, but you have to iterate. If what you are doing is simple enough you don't need or want to do that, then use the best model you are already comfortable with. For me that type of work is currently done with GPT 5.5.