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A video case study demonstrating how adversarial questioning exposes hidden assumptions in large language model reasoning. Using a zombie survival scenario, the analysis shows how fuel logistics, dependency testing, and iterative contradiction reveal which parts of ChatGPT's answers remain structurally robust after their supporting assumptions collapse.
This video case study shows how AI-era search changes the value of content. Instead of chasing keyword volume, the project uses semantic SEO, network analysis, suppressed and emerging nodes, and creative systems design to turn search results into a coherent creative operating system.
This video demonstrates how AI systems optimise for coherence rather than structural accuracy. SDA-3 reframes the model as a system to interrogate, forcing it to expose suppressed variables and recover constraint-compatible truth.
A short explanation of SDA-3 as a method for mapping LLM response structure without claiming access to hidden reasoning.
This video case study shows how AI-era search changes the value of content. Instead of chasing keyword volume, the project uses semantic SEO, network analysis, suppressed and emerging nodes, and creative systems design to turn search results into a coherent creative operating system.
A central index for video work connected to the site, including long-form explanations, methodology demonstrations, and related visual essays.