top of page
Human Cognition in the Age of AI
AI Recursion Modelling (ARM)
Describes the core modelling methodology using recursion to interrogate 2nd, 3rd and nth order reasoning.
AI Reasoning Traces
The process of defining and categorising reasoning traces to assist in training AI to better prompt humans and humans critically understand how to improve recursive thinking. This creates a metaphorical middleware for AI orchestrators and Emergentists to bespoke the likes of Deepmind and Anthropic. As well as get the best out of existing ChatGPT style tech.
AI Riffing
An overview of the AI riffing process. Associated with Talmudic reasoning, jazz improvisation, Lennon-Mccartney songwriting and the Socratic method. It evolves nth order reasoning, adjacencies and creative sysnthesis using the power and interconnectivity of AI and Human intuition. sensemaking and non-linear emergence cataysed together,
AI-Augmented Decision Provenance
A deep dive into the business case for Decision Provenance - using AI to help define its advantages to organisations, Answers the question why we need it and how to extract value.
Decision Provenance - the Missing Component in LLMs
A quick overview of why decision provenance is so important, And how it completes the traceability gap in LLMs as they seek to engage human conversation and surface a plurality of options.
Decision Provenance -Part 2
A critique of Decision Provenance using ChatGPT. In this Vlog I test out the idea and come to a conclusion. This correctly positions Decision Provenance in a business case and raises the importance of the Emergent Systems Board.
bottom of page