My work in artificial intelligence sits at the crossroads of the human condition and the future of work.
I have worked in, and advised early-stage and scale-up AI companies on products, services and automation as well as created agents and outputs.
My CV as a Podcast:
a Google NotebookLM Experiment
NotebookLM is a fascinating experimental Google tool that reads information sources, understands them and then provides information like FAQs, timelines and audio. This experiment created a podcast of my CV.
Introduction to Agents using OpenAI
AI Agents are easy to create using OpenAI’s GPT functionality. In this video, I show you how to name it, give it a description, some instructions on what to do and how to upload “knowledge” upon which it can draw information.
AI Agents are good at following instructions, synthesising existing data, retrieving current information and performing actions. This video shows how I’ve made a stock market agent to advise on entry and exit points, stop loss levels and strategies.
A Stock Market Agent using OpenAI
C.O.A.L.E.S.C.E - A Model for Teams Augmented by AI
AI has been referred to as a “cybernetic teammate” that enhances expertise sharing, encourages collaboration and heightens emotional engagement with work. Companies aren’t set up properly to take advantage of this: often focusing on function over output. This white paper sets out the COALESCE model for how we can structure teams of the future.