The AI Co-Scientist Typology

A Typology in Nine

Nine Cards

For the AI Co-Scientist

Initiative × Scope Find the kind of AI agent that fits how you work.

Take a five-minute survey for a chance to receive a $200 USD-equivalent electronic incentive. AI is already changing how you work. Take the survey to find out how you collaborate with AI, and which AI partnership style best supports your scientific work.

Take the Test

The grid below has three rows (the scope of work the AI handles) and three columns (the initiative the AI takes). Each cell is one type of AI agent for data-science research, mapped to a Tarot archetype and a scientific instrument from the natural-philosophy tradition. Click any card to read its description.

The routing logic is described under each card's How you got here section.

User—Initiated
Mixed—Initiated
System—Initiated
Narrow
Broad
Whole Task

The Two Axes, Defined

Axis
Definition
Survey Signal
Scope
How much of a task the AI handles in one invocation. Narrow (a single function call) → Broad (a coherent multi-step subtask) → Whole (end-to-end goal pursuit).
Q3 (current uses) and Q10 (what would justify setup), averaged. Q1c competence (more competent → narrower) and Q2 frequency (daily → broader) modulate.
Initiative
Who proposes the next move. User-initiated (system only responds when invoked) → Mixed (either party can propose) → System-initiated (system drives, user reacts).
Q11 (top desired qualities), Q4 (current frustrations), Q10 contributions, summed. Q1c and Q2 modulate.

Honest Notes on the Typology