Reflections

Observations from practice.

Short essays on design, organisations, and intelligent systems.

Drawn from years of designing enterprise software, public services, and intelligent systems, they explore recurring themes of trust, understanding, complexity, accountability, and change.

Each piece approaches a different question.

Together, they explore the same one:

How do people remain capable of acting in systems they can no longer fully understand?

2026-09 · 4 min read

Writing rules for a game nobody knows they're playing

AI agents can read components and rules. The harder part is making the judgment behind those rules available when they generate.

2026-09 · 4 min read

The work that disappears when it works

DesignOps succeeds when friction disappears. But if the work itself becomes unobservable, organizations lose the evidence they need to sustain it.

2026-08 · 2 min read

The work moves upstream

Generating alternatives is becoming remarkably inexpensive. Deciding between them is not. That changes where design happens.

2026-07 · 3 min read

The designer disappears

As execution becomes automated, the visible outputs of design become easier to generate. What remains difficult is everything that happens before those outputs exist.

2026-07 · 3 min read

The design of beginning

Impressive AI demos create attention. Good beginnings do something harder: they make a new capability feel close enough to try.

2026-06 · 3 min read

When interaction becomes governance

Agentic systems don't just execute instructions. They adapt. That changes what feedback is for — and who is responsible for what the system learns.

2026-06 · 3 min read

We know more than we can explain

For a long time, expertise meant understanding. Intelligent systems are quietly separating those two things.

2026-05 · 4 min read

Capability scales. Understanding doesn't.

Most AI demos are evaluated by whether the system completed the task. That is rarely the most important question.

2026-04 · 4 min read

Trust through constraints

Intelligent systems become trustworthy through their limits, not their capabilities. A note on why boundaries are the load-bearing part.

2026-04 · 3 min read

Trust is a design material

Agentic systems don't just need good interfaces. They need to be believable. That's a different design problem entirely.

© 2026 Andreas Johann