Source-Grounded AI Research
This page explains one of the highest-value ways to use Provenote today.
In plain language: use Provenote when you want AI-assisted research that stays tied to actual sources instead of dissolving into a long chat you cannot audit later.
The Core Path
The strongest current path looks like this:
Import sources
-> Search / Ask against notebook context
-> Capture or continue a research thread
-> Turn the work into auditable markdown or a notebook draft
-> Verify and export when the result needs stronger handoff value
Why This Matters
Generic chat workflows are good at producing fast text.
They are much weaker when you later need to answer questions like:
- where did this claim come from?
- which source already covered this point?
- what changed between one draft and the next?
- can I hand this result to another person or agent without losing the trail?
Provenote’s current repo-documented answer is to keep the source base, the research thread, and the outcome lane connected instead of treating them as separate products.
What Provenote Already Gives You
Current repo truth supports:
- notebook-scoped source collection
- search and ask flows that can feed research threads
- auditable markdown when one-source verification matters most
- draft outcomes when several sources need to become one reusable writing object
- verify and bundle export when the result needs a stronger artifact boundary
Who This Is Good For
This path is especially useful when you are:
- researching a topic from several web pages, notes, and files
- building a long-form memo that should keep its source trail
- turning one investigation into a reusable draft instead of another dead-end chat
- preparing grounded material that a coding agent or human reviewer can continue from
Current Boundary
This use case should still be described honestly.
Current repo truth does not claim:
- a hosted team research workspace by default
- an always-on web research service outside your configured runtime
- a universal replacement for every enterprise knowledge system
The strongest claim today is a repo-documented local research workbench with inspectable outcomes.