Humans in the Loop
You found this page because a post ended with a question.
You may have arrived from music, language, teaching, or AI. It doesn't matter which. This page sits underneath all of them.
That question wasn't decoration. It was the point.
Why every post ends with a question
I use AI every day. I consult on it. I understand how it works and where it doesn't. And precisely because I'm inside it, I notice the same thing everywhere I look:
The humans are quietly leaving the room.
Not all at once. Not dramatically. Just gradually. One automated decision here, one delegated judgment there. Until one day nobody can quite remember who decided what, or why, or whether it was ever a human decision at all.
I think that matters. Not because AI is dangerous. But because the humans who built things, taught things, wrote things, and made things brought something to the work that doesn't transfer automatically.
Judgment. Taste. Accountability. The willingness to say: I made this, and I'll stand behind it.
That's what the question at the end of each post is for. To put you back in the room. To ask whether you're still the one deciding.
The six things I look for
When I write, build, or consult, I run everything through six questions. I call this the HUMANS check.
| H | Human Intent | Who actually decided what this is for? Did a human set the goal — or did they just approve what the AI suggested? |
| U | Understanding | Do the people using this system actually understand what it does? Or are they trusting outputs they can't evaluate? |
| M | Monitoring | Is anyone watching? Is there a human checkpoint, or has the workflow been set and forgotten? |
| A | Accountability | If something goes wrong, who owns it? Or has responsibility dissolved into the system? |
| N | No Autopilot Zones | Hiring. Assessment. Public communication. Creative direction. Some decisions shouldn't be delegated — ever. |
| S | System Fit | Does this solve a real problem? Or is it AI adopted because AI is fashionable? |
If this resonates
I work with organisations, educators, and small businesses who are trying to use AI thoughtfully, without outsourcing the judgment that makes their work worth doing.
If you're trying to figure out where AI helps and where it quietly takes over, that's the conversation I'm built for. Specifically:
- AI readiness sessions: before you buy the tool, do you have the foundations?
- Gap diagnosis: where exactly is your AI adoption stalling and why?
- Governance and oversight design: who is responsible once the AI is running?
If any of those sound like your Monday morning problem, get in touch.