For me, the main value is structure. IdeaScope makes the output easier to review, discuss, compare across runs, and share, instead of feeling like a raw AI research dump.

The goal is to make it more decision-ready: structured, easier to scan, easier to discuss, and easier to pass along without needing to re-explain everything.

I keep seeing the same pattern: AI research can look impressive, but it s still hard to use for a real go/no-go decision.

What usually feels missing to you?
clearer risks and assumptions
better structure
source traceability
easier comparison between ideas
something else?