Beyond Chatbots
The chatbot paradigm is broken. Here's what comes next and why spatial interfaces are the future.
Every AI product ships the same interface. A text box at the bottom. Messages that scroll up. Maybe some markdown rendering if you're lucky. We've had this exact UI since IRC, and somehow it's supposed to be the future.
The Copy-Paste Problem
Chatbots were designed for customer support. They answer questions one at a time, in sequence. But AI isn't a support agent. It can hold entire decision spaces in memory, weigh dozens of factors simultaneously, and map out branching futures. Why are we forcing it into a one-message-at-a-time box?
Giving AI a chat interface is like giving a pilot a typewriter. The tool doesn't match the capability.
The chatbot paradigm constrains both the AI and the user. The AI flattens its knowledge into paragraphs. The user scrolls past information they'll never find again.
Spatial Interfaces
The next generation of AI interfaces will be spatial. Information will have position, not just sequence. You'll navigate knowledge the way you navigate a city, by orienting yourself and choosing a direction.
- Chat: linear, sequential, scroll-based
- Spatial: multi-dimensional, explorable, persistent
- Chat: information disappears as you scroll
- Spatial: information stays where you put it
What Comes Next
Persephonie is the first step. Decision trees are one spatial primitive. But the principle extends further: AI responses as diagrams, as timelines, as maps. The era of the chat bubble is ending. The era of the canvas is beginning.
Morein Product
See EveryPath
Turn any question into a visual decision tree.