What would make a research output feel truly shareable with a team or investors?
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.
If you already use Deep Research tools, what would you expect IdeaScope to add on top?
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.
What makes AI research actually decision-ready?
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? I’m building IdeaScope around this exact problem, so I’d love honest feedback from people who actually use research...