One source — the model,
the simulation, the diagram.
A family of small languages for thinking about living systems. You write the biology down as text; the same text runs and draws itself. Each one computes what is exact and lets you declare what isn't — so a diagram is a claim you can check, not a picture someone drew.
Premise, build languages that people and LLMs can both reason about. The language provides feedback on what works and doesn't.
Sequences as typed data: DNA, RNA, protein. The central dogma — complement, transcribe, translate — as functions you compose. The chemistry is known, not declared.
Explore the language →Stocks and flows. Write a model of what accumulates and what moves between stores; the engine walks it forward in time and the graph comes alive.
Explore the language →3D objects and spatial relations as facts you can query. A program is a set of facts about a space — not a list of draw calls — and the 3D view is only a projection of the text.
Explore the language →Cells unfolding in space. Many simple agents, local rules, and the pattern that emerges — tissue and form from the bottom up.