Unfinishe Conversations: What Your Machines Should Do
A conversation how organizations might use automation more strategically.
Jorge Arango
Information Architecture Consulting & Training Services
Latest posts
Traction Heroes Ep. 42: Feedback
You may know how to give good feedback, but do also you know how to receive it?
What’s the Purpose of Information Architecture?
Fifty years after its formal introduction, the discipline of IA is still widely misunderstood. Here‘s a corrective.
Bootstrapping Your Intelligence Stack
Frontier models are worth it at design time. Beyond that, commodity AI can do much of the work.
Traction Heroes Ep. 41: Craft
One of the books that influenced my early career sparks a conversation about craft and management.
Traction Heroes Ep. 40: Agency
An energizing conversation about possibilities for action within complex adaptive systems.
Kinetic Coffee July 2026 Livestream
A conversation about the evolving role of information architecture in a world with AI.
After Forty Years, Still No Silver Bullet
As always, technology can help with production. What’s scarce is orientation.
Traction Heroes Ep. 39: Pace Layers
AI makes prototyping easy. But production systems require architecture. A classic systems model can help.
Still Holds: Gall’s Law
AI took away the constraints that brought discipline to MVPs. You must impose them yourself.
Becoming a Principle-Driven Leader
How managing through principles (rather than strict rules) can help organizations, societies, and individuals thrive.
Traction Heroes Ep. 38: Checklists
Harry and I discuss a tool for preventing catastrophic failures.
Open-Ended Sessions: The Job Brief
A conversation about the choice between using AI to reduce costs and time and using it to expand possibilities.
Traction Heroes Ep. 37: Legibility
Token use measures adoption, not value creation. How do you make legible the things that actually matter?
Magnifica Humanitas
A grounded and wise defense of human dignity in a time of rapid technological change.
The Case for Augmenting (Not Cutting) People
Cutting staff “because AI” is a bet companies will come to regret.
Traction Heroes Ep. 36: Blind Spots
We all have blind spots when self-assessing. Here's what you can do about it.
The Case for Learning Before Optimizing
Some AI initiatives generate value, while others generate noise. The difference is direction.
Traction Heroes Ep. 35: Axis Thinking
Reflections on a mental model that has deeply influenced my work — and which is more relevant than ever.
A More Efficient Use of AI
The case for traditional software calling AI (instead of the other way around.)