1. context switching hell - multiple questions = constant scrolling. by the time your first query finishes, you have 3 unread responses below. information gets lost in the chaos
2. memory degradation - LLMs get worse as conversations grow. some queries need no memory, some need temporary context, some need everything. branching solves this
3. parallel execution - why wait for one response when you can run multiple simultaneously? chatgpt makes you wait. that's absurd
4. generative ui - iterate through multiple design variations instantly. not one option, but many to choose from
5. no collaboration - sharing through a "share button" isn't scalable. i added real-time figma-style collaboration
so i built maxly.chat - a canvas for LLMs with parallel execution, branching memory, and real-time collaboration.
current chat interfaces are fundamentally broken:
1. context switching hell - multiple questions = constant scrolling. by the time your first query finishes, you have 3 unread responses below. information gets lost in the chaos
2. memory degradation - LLMs get worse as conversations grow. some queries need no memory, some need temporary context, some need everything. branching solves this
3. parallel execution - why wait for one response when you can run multiple simultaneously? chatgpt makes you wait. that's absurd
4. generative ui - iterate through multiple design variations instantly. not one option, but many to choose from
5. no collaboration - sharing through a "share button" isn't scalable. i added real-time figma-style collaboration
so i built maxly.chat - a canvas for LLMs with parallel execution, branching memory, and real-time collaboration.
the future of AI isn't a chatbox. it's a canvas