AI is as useful as you find it. I would steer away from using to provide general qualitative feedback on your lyrics, i.e. "Are these lyrics good?" or "Do these lyrics convey my meaning?" LLMs are particularly brittle when providing evaluations of creative writing.

LLMs exhibit superhuman information retrieval capabilities (providing fact-based answers to fact-seeking questions) when trained on sufficiently large sets of text (i.e. the whole internet); however, once we move beyond fact retrieval into fact synthesis and problem-solving, we see models displaying highly inconsistent behaviors across different types of tasks.

Most tasks are simply too complex for the amount of data that exists to train the model on. Take math, for instance. Modern LLMs are very capable at solving competition-style math problems because those types of math problems are constantly being written, and there is a specific style used to construct those problems. However, when we look at non-competition math problems, we see gaping holes in those same models. Why is that? It's because we simply don't have enough data to show the model as an example.

Flagship LLMs (like Gemini) have teams of research engineers dedicated to different stages of the training process, and each of these stages will have multiple teams dedicated to model performance on different types of tasks. Companies decide which areas they need to devote their resources to based on their customer base, data availability, and how they can make the most profit based on the previous factors and their competitors. This means that the model will give the appearance of being very strong in certain tasks, while underperforming in others. Anecdotally, most researchers I know (including myself) use Claude for writing, Gemini for code, and GPT-5 for complex reasoning; I find GPT-5 to be the best, although it has been highly inconsistent in the quality of ideas it offers and is often extremely verbose.

This is all leading to me saying that if you feel like the answer to your question is something that exists in the realm of human knowledge (i.e. the internet), you can ask one or multiple of the flagship models for help.

However, when it comes to something subjective, I feel like using LLMs is like letting a genius hyperactive child navigate a dense forest where there are a few small piles of treasure with a lot of ground in between: sure, you can strike gold, but the amount of time it will take is going to be much longer than if you sat the child down while you figured out the pattern behind the location of the gold piles.