The AI and Intuition Series
What AI Can't Access: The Layer That Makes Intuitive Reading Work
Large language models operate on encoded language, not on the pre-symbolic layer where intuitive reading begins. This op…
AI and intuition
Evergreen essays on what large language models can simulate, what human attention still carries in live reading, and how practitioners can work with both without collapsing practice into performance.
The AI and Intuition Series
The Myth of AI Intuition: Why Simulation Is Not the Same as Sensing
AI outputs feel intuitive because of compression, familiar pattern, and projection, not because the system perceives. Th…
The AI and Intuition Series
Pre-Verbal Knowing: The Stage of Intuition AI Cannot Reach
Most intuitive work spends its energy at the translation stage. The reception and recognition stages that come before la…
The AI and Intuition Series
Tarot as a Pre-Symbolic Interface: Why the Cards Activate Meaning Rather Than Contain It
Tarot behaves like an interface: dense images trigger pre-verbal processing before dictionary meanings arrive. That mode…
The AI and Intuition Series
Why Meaning Is the Wrong Battleground for Intuitive Reading
Interpretive fluency is increasingly automatable. The practitioner’s durable edge sits upstream: soft eyes, field-level…
The AI and Intuition Series
The Future Tension: Augmented Intuition vs Replaced Thinking
Augmentation and replacement are not different tools, they are different orders of operations. When perception leads and…
The AI and Intuition Series
The Practitioner's Edge: Perceptual Capacity in a World Where Interpretation Has Been Automated
The edge is not more card meanings or fluent interpretation, both are increasingly automatable. It is perceptual readine…