12 APR

Jiakang Chang

26 Issue 01

Personal website / systems journal / London

Systems for Ideas in Motion

AI has made this era feel exciting, fast, and deeply uncertain. I would rather begin early, learn through movement, and refine along the way than wait for perfect clarity.

Principles

Structure first, certainty later.

My work usually begins before the problem is fully named. The first step is to give a loose situation enough form to be discussed, tested, and improved without pretending it is already solved.

I am more interested in systems that stay legible under change than in systems that merely look complete on day one. That means building with relationships, revisions, and reuse in mind from the start.

01

Shape the unformed

When a question is still vague, the first job is to give it enough structure to be shared, tested, and improved.

02

Think in networks

Knowledge gets stronger when it can move across notes, systems, tools, and people instead of staying trapped inside silos.

03

Design for revision

Flexible connections outlast rigid certainty. The useful system is the one that can change form without losing direction.

Current directions

Where the work is gathering energy now.

A / Systems

Readable structures

Building systems that still make sense after requirements shift, teams change, or the surrounding context becomes messy.

B / Knowledge

Connected environments

Linking notes, tools, and workflows so knowledge can travel, accumulate context, and stay useful across domains.

C / Experiments

Small proofs with real pressure

Using compact prototypes to answer a live question quickly, reduce ambiguity, and expose the next meaningful constraint.

D / Writing

Language as infrastructure

Turning scattered signals into language that can be challenged, carried forward, and reused by people other than the author.

Flexible systems leave room for revision without losing their direction.

How I like to build

Start with the boundary, not the polish

I prefer to lock the shape of the problem early, then let the implementation sharpen through iteration. The work moves faster when the edges are clear.

What this site is for

A public surface for work that is still evolving

This is where ideas, systems, and experiments can stay visible before they are finished. The point is not finality. The point is legibility.

Systems design Knowledge networks AI workflows Experiments Writing

Journey

This site is a working surface for an evolving body of thought.

I am interested in systems that evolve, ideas that grow through connection, and ways of building that leave room for revision. This site is part of that journey and, hopefully, not a solitary one.