A research pillar inside fudge should remember claims, track confidence, preserve provenance, and improve as the corpus grows.
Why this matters
Researchers constantly reassemble context they have already earned.
AI summarizers often compress nuance before the user has had time to examine it.
Teams lack systems that can surface contradiction, causation, and evolving belief across long periods.
How we approach it
fudge provides the local-first environment for documents, conversations, notes, canvases, and extensions.
samar provides the evolving memory and world-modeling substrate that can make research compound instead of reset.
Future Wiyc data systems can strengthen specialized research workflows without changing the fact that research is already a native pillar of the core product.
Where things stand
Research is both a current internal need and a default product direction for fudge.
This page should stay tightly linked to samarai and the philosophy page.
Branches in play
Software. Provides the workspace for notes, sources, and long-horizon thinking.
Data. Turns raw corpora into usable, teachable structure.
Intelligence. Makes contradiction, provenance, and belief first-class.
People. Keeps inquiry grounded in human interpretation and debate.
If fudge becomes what it is supposed to become, research will feel less like tab accumulation and more like durable understanding in motion.