Scientific Definition
Designing processes from scratch around AI capability.
Plain-English Definition
Designing processes from scratch around AI capability.
Feynman Explanation
The right question is what we'd build if AI had always existed.
Core Principle
Designing processes from scratch around AI capability.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
The right question is what we'd build if AI had always existed.
Examples
- Greenfield deployments that out-perform retrofitted ones.
- Major strategic opportunity for incumbents.
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Famous Experiments
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Design Principles
- Run parallel design exercises: existing-workflow + AI-first.
Measurement Approaches
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Evidence
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The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Run parallel design exercises: existing-workflow + AI-first.
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Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
AI system that takes actions to achieve goals, often across tools.
The relationship between inputs and outputs changes.
How much input the model can process at once.
Underlying data distribution changes over time.
Vector representation of content for similarity and search.
Evaluation suites that no longer reflect real-world conditions.
Systematic testing of model quality, safety, and capability.
Models learning from examples in the prompt.
How much delay the user experience tolerates.
Train a smaller model to imitate a larger one.
Performance degradation as real-world data shifts.
Multiple specialized agents coordinating on tasks.