The current onefield notes, not theory
Field Notes from the AI Journey in HR
A practical guide for the people expected to make AI work inside HR, without the hype and without handing judgement to the machine.
Buy Field Notes
Before ignostiq, there was a screwdriver.
A brief history of taking things apart, including a few my parents would have preferred remained in the rubbish.
01 / 04/The backpack
Scene 01
The backpack
My school bag contained screwdrivers, a wrench and, occasionally, a hammer. Not because the curriculum required it.
On the way home, I sometimes found a television, radio or small appliance abandoned beside the bins. Most people saw rubbish. I saw a box that had not yet explained itself.
My parents mostly saw the second trip they would eventually have to make to the recycling centre.
Scene 02
The wrong kind of science
Scientific high school sounded perfect. I imagined experiments, prototypes and things occasionally catching fire for educational reasons.
There were considerably more textbooks.
Economics became interesting because it behaved less politely: its components had incentives, changed their minds and regularly ignored the model. It was the first system I found that refused to stay still while you studied it.
Scene 03
The first businesses
In the early 2000s, friends and I found ways to source computer parts cheaply and sold assembled PCs, workstations and small networks.
At university, I co-founded a consultancy and built e-commerce platforms, CRM systems and reporting tools for small businesses.
It was my first proper taste of entrepreneurship: incomplete information, impatient customers and the strange satisfaction of making something useful actually work.
Scene 04
The harder machine
I entered HR because those early ventures taught me that technology was never the whole engine.
The same people, arranged differently, can produce completely different outcomes. One plus one can become two, three or occasionally five.
Fifteen years inside global organisations taught me where that multiplication comes from, why transformation often fails and why software designed without understanding the work usually creates more of it.
That is the long version of how I ended up building ignostiq.
The short version is simpler: I have always been interested in systems, and organisations are the most interesting systems I know.
