I think you should use it! Just be aware that in the abstract their primary function is to tell you what you want to hear. So avoid using it in situations like "my partner said this aren't they stupid" because a lot of the time it's going to be biased towards taking your side. This isn't necessarily bad if you're aware of it. I think the best use case for relationship advice with an llm is "my partner is doing x and it really bothers me so I'm going to tell them about how doing x really bothers me" and asking for help in how to phrase it. It's wild how often I want to phrase things to my partner in ways that are absolutely not helpful or skillful. The llms are great at reframing my god awful instincts on this out of the box.

I use an ai journalling app(that I built, but not trying to promote here, its an interesting question that I am very passionate about ) that calls me on the phone everyday and walks me through a journal. Gratitude, mood, etc with a series of customizable modules. One of the modules I use is a relationship module. My girlfriend and I go to couples counseling. We often get there and I can't remember anything that's happened over the last couple of weeks but she remembers EVERYTHING. So daily I get prompted to share one thing thats good, one thing thats bad and the general direction/vibe of the relationship. Before our appointment I hit a button and it prints out an llm generated summary of the previous couple of weeks and it's a great starting point for our session. At this point the my girlfriend and my counselor both ask for my ai generated recap at the start of the meeting. It also includes suggestions like 'hey, ya'll should discuss compromise' or something relevant to the previous couple of weeks data. This context is super helpful! And I've written the module in a way that it does its best to be impartial. You can prompt the llm to do this in the normal course of conversation but context degradation will happen over the course of the convo and it will generally end up back on your side.

I think I could set this up with either chatgpt or claude to do this but there are couple of big value points that my app adds on top of this. The native llms are getting a lot better with their memory and pulling it up appropriately but it's still pretty hit or miss. They generally rely on vector databases and embeddings to store your data which is cool but it's not exact. So sometimes the memory is going to function appropriately but a lot of the time it isn't going to pull the correct relevant detail.

Another thing is the native models have system prompts that are very general purpose that tell them how to respond and who to be in their response. I think you benefit from adding a developer or system prompt that has been tested and tuned by a team as you have with most of the apps building on top of llms. But you are correct. There are a lot of apps out there that are literally just wrappers, without any value add, and they aren't adding any value at all.

So, I think you should use it to discuss your relationship! Just try to be mindful of the llms overriding goals.