The architecture of watching workUX Collective
DesignProductEthics
AI is quietly rewriting the century-old question of how offices observe and manage work.
- The shift: Offices were physically designed around visibility of work; AI changes what 'seeing work' even means.
- New surveillance layer: AI tools can now monitor output, process, and behavior in ways office layout never could — silently and continuously.
- Design implication: Workplace and product design will increasingly need to account for invisible, algorithmic observation rather than visual sightlines.
For design
Audit which of your team's tools now generate 'watching work' data (activity logs, AI usage dashboards) — it changes the trust conversation with your team even if no one calls it monitoring.
Design.md: the one standard file carries your visual identity, for humans and agentsUX Collective
DesignProduct
A proposed 'Design.md' file would encode brand and visual identity for both humans and AI agents.
- The idea: Like a README.md but for design — one machine-readable file capturing visual identity and brand rules.
- Agentic design need: As AI agents start generating interfaces and content, they need structured brand guidelines, not PDFs humans skim.
- Design systems evolution: This could become the next infrastructure layer alongside design tokens and component libraries.
- Early days: It's a concept, not yet an adopted standard — worth watching which tools pick it up first.
For design
Start thinking about how your design system's brand rules could be expressed machine-readably — this is likely the next thing after tokens once agentic tools multiply.
Why airlines are finally waking up to context-aware designUX Collective
DesignProduct
Airlines are redesigning apps to surface the right info at the right moment, not just on demand.
- The problem: A boarding pass sits ignored for three days, then becomes the only thing that matters during a Terminal 5 sprint.
- Context-aware shift: Apps are starting to surface information based on real-time location and timing rather than static screens.
- Why now: Better sensors, real-time data, and prediction finally make this feasible at consumer scale.
- Broader lesson: The pattern applies to any product with long dormant periods punctuated by sudden urgency — not just travel.