A way to see what connects across months of conversations.

Jennifer Naomi Nguyen · analysis tool · Working locally · March 2026 – present · built with Claude Code and Codex

README · ARCHITECTURE · TECHNICAL · source

Why I built it

I had months of conversations sitting in text files. Somewhere in them was a record of what I was actually thinking about, and how one idea led to the next.

The standalone generator is called Wikigen; this portfolio groups it with the Attractor work because both are ways of making recurring patterns visible. Wikigen reads transcripts, asks Claude for the concepts each conversation was about, connects conversations that share concepts, and renders the result. It finds the relationships that a list of filenames does not show.

See the graph

Concept graph extracted with Claude Opus

An output from 55 conversations, with 66 concept nodes. Node size and color represent recurrence.

Watch the graph develop over time

The tool can produce a static PNG, an interactive HTML page, or a GIF with concepts appearing in conversation order. In the animation, positions stay fixed while the graph develops, so it's easier to follow what is connecting.

The same conversations, different maps

The project includes Architecture and diagrams from the same conversation set. The extraction model changes what becomes a node and which ideas get grouped together.

That turned into one of the most interesting parts of the tool: a visualization isn't only a layout. The extraction and consolidation steps shape what there is to visualize. The technical page gets into both, along with keeping the animation steady and arranging disconnected groups.

How it started

A small terminal chat client was already saving conversations as I worked. That left me with a corpus before I had much of a plan for it. Wikigen grew out of a question about that pile: what was I actually working on?

Explore the workflow

The demo walkthrough explains the retained outputs and what each stage contributes. There is also a --no-api mode that builds nodes from filenames, which is useful for seeing the rendering pipeline before adding model-based concept extraction.

The standalone repository is currently private; source contains selected excerpts and the recorded output details. The Attractor research plan proposes another use for concept outputs as part of an independent view of conversation patterns.

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