Analyst-Driven Research Corpus Assembly
Build the evidence base as the question evolves.
Gives analysts a connected workbench to pull from external sources — filings, papers, databases, web — and clip evidence directly against a live research question. The question can change as understanding deepens; the corpus grows with it, with full provenance on what was captured, from where, and why.
Shape
Operational dimensions
Person and system work side-by-side.
Fires when a user asks.
Holds working state that compounds over runs.
Consumes external data; does not write back.
Inputs
- Research question or claim nodes defining the inquiry frame
- Source connectors (academic databases, regulatory filings, web, vendor feeds)
- Analyst capture actions (clip, tag, annotate, attach-to-claim)
- Existing corpus items to avoid duplication
Outputs
- Question-bound research corpus (collected evidence items)
- Evidence-to-claim linkage graph with capture provenance
- Capture trail (source, date, analyst, rationale per item)
- Corpus coverage signal (gaps relative to current question frame)
Mechanism
Provides analysts an evidence-collection workbench against an evolving research question — query and pull from external sources, clip and capture passages, attach evidence to question/claim nodes, and grow a question-specific corpus over the life of the inquiry.
Why this is a primitive
Cannot be decomposed — the active-analyst-mediated pull-and-clip-against-an-evolving-question loop is one operation. Distinct from monitoring (autonomous, fixed query) because the question itself evolves with the analyst's understanding. Distinct from document-intake (push from external senders) because here the analyst pulls. Distinct from organise (the corpus is being grown, not structured post-hoc). The mechanism IS analyst-mediated active capture.
Where it shows up
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