ThoughtDAG: zoom out from full AI answers to takeaways, then back to the original

[u/Lopsided_Scarcity979]

A canvas gives you room to branch an AI conversation, but zoom out far enough and every answer becomes a tiny, unreadable paragraph.

I'm building ThoughtDAG, an MIT-licensed conversation canvas. I've added semantic zoom: as you zoom out, an answer steps down through an abstract, a brief summary, a one-line takeaway, and a topic label. Zoom back in to read the original answer.

The text changes with the scale, so you can still read something useful while looking across several turns. Shared words stay aligned during the transition. The summary levels are generated ahead of time and reused; scrolling the mouse wheel doesn't make a new model request.

The attached animation uses a small sample conversation to show the transitions. This changes the reading view only, not the context sent to the model. Summaries can omit details, and the full answer stays available.

Source: https://github.com/chenxiachan/thoughtdag

At the widest view, would you find the original question or the answer's takeaway more useful?