The Zigzag Model

In the AI Story

Sawyer developed the zigzag from extensive fieldwork with jazz ensembles, scientific teams, and creative professionals. The finding challenges the folk-psychological model of creativity in which inspiration precedes execution — the model that underwrites the Romantic myth of solitary genius. The zigzag reveals instead that problem and solution co-evolve, each iteration reshaping both.

Edo Segal describes the experience in The Orange Pill: approaching Claude with a vague intuition about why technology adoption curves reveal something about the depth of human need, and the conversation gradually revealing — through back-and-forth, building on contributions, the unexpected connection to punctuated equilibrium — what the idea actually was. The idea did not exist before the conversation. It emerged from it.

Sawyer's framework validates this as genuinely creative — not because the machine is creative in the way a human collaborator is, but because the collaborative process itself is generative. The zigzag between human intention and machine association produces an insight that neither party contained at the outset.

But the zigzag with AI has specific hazards. The machine's speed means iterations happen faster than with human collaborators, which can produce the feeling of rapid creative progress while the actual problem formulation deepens less than it would with slower collaborators. Human ensembles zigzag slowly enough that the problem has time to reshape the participants. AI zigzags fast enough that the human may reach a solution before recognizing how much their understanding of the problem has been determined by the machine's framings rather than by their own judgment.

Origin

Sawyer articulated the zigzag across his books but particularly in Zig Zag: The Surprising Path to Greater Creativity (2013), which synthesized decades of research into practical strategies. The empirical foundation came from his fieldwork and from parallel research traditions in creativity science.

Key Ideas

Problem and solution co-evolve. Neither is fixed at the start; each iteration reshapes both.

The creative output emerges from the process. It does not precede it as a completed idea awaiting execution.

Iteration speed matters. Fast iteration can produce surface progress without the deep problem-reformulation that slow iteration allows.

AI accelerates the zigzag but may flatten it. The human's understanding of the problem evolves less when the machine resolves ambiguity too quickly.

The zigzag applies across domains. Scientific, artistic, and organizational creativity share this structure.

Debates & Critiques

Whether the zigzag is universal or culturally specific remains contested. Sawyer's evidence comes primarily from Western creative traditions, and some researchers argue that Eastern creative practices follow different patterns. The framework's applicability to AI collaboration is well-supported across the emerging empirical literature.