AI girlfriends are AI-powered chatbots that were carefully designed to provide realistic emotional support. In theory, they should act as real-life companions, talk and look like actual women, and help men and women (yes, there are AI boyfriends too!) develop meaningful, long-lasting connections.
In 2026, there’s no shortage of AI companion sites and apps available, but how do these platforms actually work? To learn more about the technology that powers AI girlfriends, we have reached out to the technical team behind Uncensy, one of the year’s most popular new services in the niche.
One of their chief engineers was kind enough to meet with us for a short interview via Zoom to discuss the ins and outs of AI companion bots. Here’s the transcript:
I guess my first question is: why should I pay for an AI girlfriend when I can just go to ChatGPT and say something like “Pretending you’re my girlfriend”?
Using LLMs as AI companion bots doesn’t work because ChatGPT, Gemini, and others weren’t trained for that specific purpose. When we started working on Uncensy, our starting point was precisely the LLM. It’s important to understand that most AI companion services aren’t based on AI models developed from scratch; the work of AI girlfriend engineers is to build a relationship simulation layer on top of existing AI technology, but that makes a world of difference once the customization process model is finalized.
So, assuming that I want to create my own AI companion and I’m starting with a generic LLM, what are the next steps?
There are many approaches you can take, but the usual first step (which was also the first thing we did for Uncensy) is personality prompting. One of the perks of AI companion platforms is that users get to choose from hundreds, even thousands, of potential AI girlfriends and boyfriends. There are still some one-character apps out there, but they’re becoming the exception, not the norm. Technically speaking, what personality prompting involves is feeding the LLM with backend information related to any aspect that makes one AI companion different from another. This includes, for example, personality traits and set conversation traits (i.e., flirting) but also behavioral rules and boundaries designed to reinforce safety and consistency.
On Uncensy, users can chat with AI girlfriends, but they can also generate character images and videos; what changes once AI-generated media becomes a part of the process?
That’s an industry standard in 2026, so it’s almost a mandatory requirement of any AI companion service. While I’m not comfortable discussing the specific approach we took at Uncensy, image generation is usually added by incorporating image-specific models such as FLUX.1, Qwen, and Midjourney. The same goes for video. Even text-to-speech, which is now considered relatively basic, requires the incorporation of an additional text-to-speech model. The architecture is out there… It’s just a matter of how well-trained and incorporated each set of models is.
So, as far as I can tell, the technology behind AI companions is largely based on the training of commercially available LLMs?
That’s true, yes, but it doesn’t tell the whole story. That’s the easy part of development. The real challenges appear when you start considering things like memory and moderation. Memory is one of the biggest challenges for AI companion developers because you want the companions to remember what the users have told them, but that is a bit harder than it sounds. Each AI companion site has its own memory chain; at Uncensy, the memory system we designed is largely based on vector databases that connect memory extraction to the LLM prompt received by the user. This is what allows our AI companions to remember everything you’ve told them before.
You’ve also mentioned moderation: what does it involve?
Moderation is a continuous process and one of the aspects I’m more proud of at Uncensy, which I consider to be a largely safe website. The idea is to develop input and output moderation prompts that directly tackle the kind of things we don’t want to expose our users to. That includes, for example, potential harassment (by the user and by the chatbot), manipulative discourse, and the usual AI hallucinations. It’s probably the most sensitive side of the technological development of an AI companion platform.
