Bridging the Data Gap: A Semantic Translation Layer for UK Poverty Data Ponderings on how to bridge the data gap. Exploring questions, semantic layers, TRE's and feedback loops.
The Interface: Building Blocks for Just-in-Time Software The second of my 8 ideas to explore in 2026 in AI and technology. In this one I'm exploring just in time software, like lego blocks we pull together when we need them.
Building LLMs.txt for the social sector Another blog on the ins and outs of something I built, what it's all about, and why it might be a useful tool and/or concept. A llms.txt tool designed for specific use cases.
The Garden of Ideas The Garden Ideas, a simple facilitation tool for individuals and groups. Seeds, soil, seasons, pruning and composting as a way of making intentional choices
Building Open Recommendations A full breakdown of how I built Open Recommendations, the inner workings, the choices I made, including provider agnostic AI, strict data structures, deciding whats a recommendation and whats just an observation, RAG, and weighting community feedback.
Is the best way to actually make AI work in an organisation to focus on constraints? Pondering on how we actually need to focus on constraints when everything and anything is possible
The end of Data For Action Reflections on building a different kind of consultancy- one that chose uncertainty over certainty, conversations over transactions, and approach over outputs.
My Memory - A startup idea for 2026 One of a number of ideas I'm thinking about ahead of 2026. The personal context passport lets people carry a portable, user-owned profile they can share on their terms - from low-stakes convenience (travel, fitness) and evolving into granular, time-limited permissions for high-stakes public services
Predictions for 2026 (or: What I'm Actually Thinking About) The Predictions for 2026 that no-one asked for. Some of them are real, some are more just hope, most of them are firmly tongue in cheek. Also I set out 8 ideas I'm thinking about when it comes to tech and AI infrastructure.
Which LLM? And how do YOU decide? Thinking out loud on assessing which LLM models to use. Starting to build a framework based on real life applications