EVIDENCE-BACKED KNOWLEDGE / 02

A folder becomes a knowledge archive.

FolderPDF separates source quality from reader relevance, then keeps every reusable object tied to its original page.

Quality belongs to the text. Relevance belongs to the reader.

Documents0in the archive

Objects0structured findings

Direct evidence0Pass A · level A

Quality average—eight criteria

SOURCE ARCHIVE

Connect a PDF folder

In this preview, choose a local folder. The production connection will use Google sign-in, Picker, and read-only Drive access without storing raw PDFs by default.

No folder connectedPreview mode · local folder import

Choose PDF folder↗ Google Drive connection

APass A · quality without user context

BPass B · relevance for this session

↗Page anchors stay with every object

SESSION QUESTION / PASS B

Choose what matters now

This question ranks existing objects for the current reading session. It never changes their Pass A quality.

Session question

Apply relevance lensClear lens

AQuality is repeatable

Explicitness, anchoring, typeability, consistency, support, definability, information density, and verifiability.

Stored with each object8 criteria

SYNC QUEUE

New and changed documents

Analyze pending PDFs

Choose a folder to see its PDF queue.

KNOWLEDGE LAYER

Structured objects with their evidence

Download JSONClear archive

Knowledge objects0

TypeEvidence

Analyze a PDF to create your first evidence-backed object.

ACCESS LAYER

Ask the archive, then verify

Which algorithms recur? Which documents support the strongest conclusion? Are there contradictions? Which gaps should I investigate next?

Question for your archive

Context

Ask FolderPDF

Your archive conversation will appear here.