Transcript → Evidence → Learning Lab

R&D on turning conversation transcripts into reusable, traceable knowledge. All data is synthetic.

VIEWERS

Corpus viewer 3 interviews start here

The bigger picture: interviews, persistent entities, a codebook, a hypothesis board with one verdict per interview, observations over time, a follow-up backlog, and chat sessions answered from the evidence. Any evidence id drills into the interview that contains it. Hover anything dotted or tagged for a plain-language explanation.

Single-interview viewer 1 interview

One transcript taken through every layer, four columns side by side: transcript → evidence units → learnings → detail. The place to understand what an evidence unit is before looking at a corpus of them.

CONTEXT

initial.md

The problem statement: what an evidence unit and a learning unit are meant to be, what must be preserved, and what must never be collapsed (reported experience into fact, interest into commitment, a proposed date into a deadline…).

DATA

Corpus
transcripts: tx_001 tx_002 tx_003 · extractions: tx_001 tx_002 tx_003
Single interview

The viewers are self-contained HTML with the JSON embedded. Edit the JSON, run build_viewer.py in that folder, redeploy.