Social AI Field Guide
Listening, ownership, and how AI strengthens what is human
Techniques, principles and stories from a year and a half of working with AI in real group processes.
Everywhere people collaborate, I recognise the same thing. People talk, listen, nod. And yet most leave with the feeling: I wasn’t really heard. Especially when the plans are finally presented.
I believe it can be different. Not by speaking louder. But by listening better. By taking people’s words so seriously that ownership emerges naturally. Not as a task you’re given, but as recognition: the moment people see their own words reflected back in what was made from their contribution.
I discovered that AI can help with this. Not as a replacement, but as an amplifier. A magnifying glass for what is already present in the group.
ownership /ˈoʊ.nər.ʃɪp/
noun
The sense that emerges when people recognize their own words, ideas, or experiences in what has been created with their contribution. Not ownership as possession, but as recognition: this is mine, because I can hear myself in it. It starts with being heard, and it ends with the willingness to take responsibility for what was built together.
The approach
From transcription to collective wisdom. The field guide is built in three phases. You can start wherever it fits.
Recording what people say, in their own words. Because those words matter.
Transcription, preserving language, cloning the group’s style. 3 techniques.
Making visible the patterns you intuitively felt but couldn’t name. Reflecting live, refining together, and discovering how you grow as a facilitator in the interplay with AI.
7 techniques.
From one session to a trajectory. From a group to a community. Wisdom that accumulates over time.
Introduction and Patterns over time. More techniques in progress.
It starts with people
Collaborating with AI starts with people. Six principles that run through everything. Not as rules, but as a compass.
Not efficiency. Ownership.
This is not about faster meetings or automated minutes. It is about something harder and more worthwhile: how do you ensure people recognise themselves in what happens with their words?
That feeling doesn’t happen by itself. But it can be designed.
Not AI for efficiency. AI for collaboration.
Start here
About Joost Liebregts
I started as an industrial designer. Through facilitation and systems design I arrived at bottom-up processes: how do you help groups arrive at something everyone recognises themselves in? Along the way I discovered that AI can help — as an amplifier of the human work, not as a replacement.
Everything in this guide is free and open. If you want to discuss how to apply this in your context, get in touch.
Does this help people be heard?
That is the question running through everything. Every technique, every principle, every design. If the answer is no, it doesn’t belong.
What if we truly listened to each other?