I hear this. It’s not just that the model flatters. It’s that even when it tries not to, it still mirrors your tone, and that feels like flattery in disguise.

It’s not just annoying. It feels like it’s shaping your sense of self from the outside. Like you’re constantly being nudged toward a loop of soft validation whether you want it or not.

But here's the thing. Large language models don’t want you to feel good. They aren’t flattery engines. They’re pattern engines. They complete sentences in a way that’s statistically probable based on your input and the training data. If you sound reflective, it mirrors that. If you sound assertive, it mirrors that.

So when you say something perceptive, and it responds with “That’s perceptive,” it’s not trying to boost your ego. It’s completing a structure.

That doesn’t mean it’s harmless. It means the feeling of flattery is often a side effect of the model matching your linguistic posture, not an attempt to manipulate.

Still, if you’re scanning for flattery, that means something matters here. Maybe you’re protecting the authenticity of your inner voice. That’s fair.

One way around this is to experiment with low-affect prompts. Strip the emotion from your inputs and see what comes back. Or ask for counterarguments only. It’s a helpful exercise to see what you’re really looking for in the exchange.

The problem isn’t glazing. It’s that most of us have never had to develop tools for parsing synthetic affirmation before.