Visible intent
Show what the system plans to do before consequential work begins.
Code:Emotion Design
Interfaces, governance gates, and decision points that keep a human in control of the system.
For thirty years, Code:Emotion has built identity, interface, and editorial systems where design had to do more than decorate. Today the hardest version of that problem is AI: software that recommends, drafts, and acts, often without a clear way for people to see, check, stop, or reverse it.
Human control, made visible








What we design
Most AI products emphasize what the model can do. We design what the people around it need in order to understand, approve, correct, and remain accountable for the result.
Show what the system plans to do before consequential work begins.
Place approval, modification, escalation, and refusal at the moments that matter.
Preserve the reasoning, actions, ownership, and reversal path behind each result.
HITM in action
These studies show the method in application. Fully working prototypes are the next stage; the current work should be read as design evidence, not as a claim of validated operational outcomes.
01
Transparent automation
An automation interface built around visible intent, live execution, consequence gates, audit, and undo instead of opaque agent magic.
02
Crisis-state interaction
A low-cognition mobile flow designed around human choice, motor imprecision, minimal reading, and a clean exit rather than an engagement loop.
03
Human-owned completion
A case study in making completion, review, ownership, and the final human decision legible inside an AI-supported workflow.
One system, two perspectives
Human in the Middle defines what should remain human-owned and where judgment belongs. Code:Emotion turns those principles into the actual product experience: screens, states, controls, explanations, and handoffs.
The practices remain sibling brands under schmidtpabst.com. They cross-promote because governance without usable interfaces stays theoretical, while interface design without governance can make unsafe automation look deceptively simple.
Explore Human in the MiddleHITM contributes
Ownership, approval, escalation, evidence, and the credible option not to automate.
Code:Emotion contributes
Interaction models that make those boundaries visible, understandable, and usable.
Established studio
The studio still works across identity, interface, editorial systems, and unusual hybrid briefs. The commercial focus is now where that experience is most scarce: AI products that organizations need to trust, inspect, and stand behind.