For superior Humans + AI creative outcomes we need to focus on process.
LLMs are most effectively applied at well-defined points within broader processes, using precise prompts and context for highly specific tasks such as content generation, ideation, structure mapping, analysis, adaptation, synthesis, evaluation.
The first step is to pull back to the broader process and identify where AI can add value to complex cognitive and creative processes, as shown in this chart. Applications of the chart are shared below.
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The chart illustrates that we can break down creative processes into a series (not necessarily linear) of specific activities.
Examining what is common and different for creative processes across domains can help cross-pollinate approaches and ideas.
Each stage in the highly simplified processes in the chart can be broken down into more specific elements.
Clarifying specific activities within creative processes makes them far more amenable to AI augmentation.
A range of AI techniques can be applied to complement human thinking across each stage and many of their sub-elements.
Part of the point of the diagram is to highlight that we should not be trying to get AI to do entire creative processes. We should be applying AI to specific Humans + AI tasks within the processes.
We are early in unpacking creative processes and augmenting each stage with AI. There’s immense value creation to come on this journey.
Image: Midjourney