When Does Conversational AI Stop Feeling Like a Tool and Start Feeling Like an Interface?

A lot of tech discussions around AI focus on benchmarks, speed, or raw capability. But in real use, especially over weeks or months, something else becomes important consistency. When tone shifts, memory breaks, or context resets, the experience stops feeling usable, even if the model itself is powerful.

Long form interaction exposes design questions that don’t show up in demos. How do you preserve intent over time? How much memory is helpful versus intrusive? And how do you prevent conversational drift without over constraining the system? These are less flashy problems, but they matter if AI is going to be part of daily life rather than an occasional tool.

While exploring how different products approach this, I came across platforms like Crushh https://www.crushh.ai/ that emphasize emotional continuity and long term interaction rather than one off prompts. It raised interesting questions for me about whether the next leap in AI UX is less about intelligence and more about coherence.

Curious how others here think about this shift and whether conversational consistency is being underestimated in current AI development.

submitted by /u/jiester
[link] [comments]