What we've learned, written down.

White paper

The Integration Problem

Most of what is sold to charities as an AI agent is a faster horse. The real prize is software that does the coordination work charities currently do by hand, and it only earns trust if governance is built in from the first line of code. A white paper on what agents are actually for.

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AI Playbook for Charities

Your practical framework on how your charity can adopt AI. The playbook provides clear pathways from basic tools to service transformation, helping organisations experiment safely whilst building lasting capability - without compromising your values or mission.

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AI Recipes for Charities

Step-by-step recipes to get started using different forms of AI in your work. From data analysis to service delivery you can find techniques that work for your charity whether those are traditional ML / AI processing or more recent agent, generative-AI, approaches to work.

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Charity Data Playground

The data playground for charities is a tool to generate realistic charity data and then explore it using SQL. We created it for our work with charity teams looking to upskill with data and better use the signals their org has.

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AI token calculator

It's a faff trying to quickly tot up how much AI tokens might cost a project. This is a quick calculator we've found useful in workshops to give us a general sense of costing and whether it's worth the effort.

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LLM Looper

An experiment from 2024 that showed how we were looping over data. We realised in our work we were frequently looping over the same data doing multiple operations with LLMs and this was an experiment to see if we could create a web harness for that.

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Choose Shapes Obliquely

Trying to figure out what someone is trying to say to a computer isn't a new thing. This was a small experiment to demonstrate that pattern matching strings, rather than using generative AI, is still a useful technique for narrow tasks.

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Art of the AI Prompt

Prompting, in 2026, is far less important than it once was but it still has value. This is an old project looking at how knowing about conversational academia could help how we structure interactions with language models like GPT3.5 or GPT4.1 to get the most out of them.

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Ready, Set, AI

A small experiment to try and get teams to be more adventurous with what they try and prompt for. Most people are surprised, even now, at how capable LLMs are at producing one-shot digital experiences. This aimed to get them to the 'aha' moment a little quicker.

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