AI Dating Coach: Does the Three Day Rule Find Love or Just Generate Text?

Three Day Rule, a modern matchmaking service, launched its AI-powered app, “Tai,” on October 7, 2025, aiming to democratize access to personalized matchmaking. The app, which the company calls the world’s first AI matchmaker trained by professional matchmakers, combines 15 years of matchmaking data with cutting-edge technology. While traditional matchmaking at Three Day Rule costs $5,900 for a three-month experience, Tai offers a free version, with a premium subscription available for $99.00 per month.

The core innovation of Tai lies in its attempt to replicate the nuanced process of human matchmaking using an LLM (Large Language Model). According to Adam Cohen-Aslatei, CEO of Three Day Rule, the AI is designed to detect inconsistencies in responses during the initial intake process. “On the matchmaking app, if we ask you a question and your tonality changes in the response, it cues to us that you may not be telling us the full truth. And so we’ll ask you that same question in two or three different ways throughout your experience,” Cohen-Aslatei explained. This feature is intended to ensure the AI has an accurate understanding of a user’s preferences and personality.

The app’s process begins with a series of questions covering lifestyle, future goals, boundaries, family, attraction, hobbies and more. After this initial assessment, Tai presents potential matches. Users are required to provide selfie verification to confirm identity, and only verified profiles are considered. Initially, a potential match’s picture is blurred, accompanied by a synopsis of why the AI believes the pairing could be successful. Users can then reveal more details, including profession, age, income, and a bio generated by the AI.

Early testing of Tai, as reported by one user, revealed some limitations. Despite specifying an age range of 26 to 40, the first two matches presented were 23 and 47 years old. The user observed a statistical bias in the matches received, with a prevalence of Christian individuals seeking children and a tendency towards traditional gender roles – preferences the user had explicitly indicated were not desired. Out of 16 matches, none were individuals the user would have typically selected on a traditional dating app.

Once a match is accepted, Tai functions as a “date coach,” providing conversation prompts based on the other person’s profile, highlighting shared interests, and suggesting questions. The AI coach can also be directly consulted for advice on breaking the ice or navigating conversations. The advice provided is described as “basic but solid,” offering suggestions like giving compliments, asking open-ended questions, and sharing personal anecdotes.

While the AI-powered coaching feature could be beneficial for individuals who struggle with initiating or maintaining conversations, concerns remain about the authenticity of interactions. The reliance on AI-generated prompts and responses raises questions about whether users are truly connecting with each other or simply interacting with AI-mediated representations. The user testing highlighted that crucial elements of human connection – typing style, question choices, and sense of humor – were largely absent in the AI-facilitated interactions.

Three Day Rule’s move into AI-powered matchmaking reflects a broader trend in the dating industry, where technology is increasingly being used to enhance and personalize the matchmaking process. The company, which has served over 250,000 singles nationwide, believes that AI can make high-quality matchmaking more accessible to a wider audience. However, the initial results suggest that while AI can facilitate connections, it may not yet be able to replicate the nuanced discernment of a human matchmaker.

The launch of Tai comes at a time when dating apps remain popular, but users are also exploring alternative approaches to finding love, including leveraging tools like ChatGPT for dating advice. The success of Tai will likely depend on its ability to overcome the challenges of algorithmic bias and maintain the authenticity of human connection in an increasingly digital dating landscape.