Cognitive scaffolding for understanding cause & effect in complex systems.
From the stick to the wheel, the book to the web, instruments have always rewired our experience. AI is the new medium.
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Automation in software engineering increases coordination costs for teams, slowing down market adaptation. The coming wave of agentic AI demands shared, explicit, domain-specific models to support reliable decision-making.
We’re catching the wave by balancing the relational complexity carried by individuals and building an orchestration engine where cooperative games between teams form effortlessly.
"We amplify human intelligence, not replace it."
Events are things that happen once. We try to understand them from different perspectives, such as user experience or infrastructure.
Understanding reliability is everyone's job.
We care about the conditions in which relevant events happen. They help us form a sense of context and give us the ability to grasp what’s going on.
Causal understanding enables the best possible decisions.
We build capabilities with the power to run activity the way it needs to be: with all the data required to meet user needs, and with trusted, correct data available at the right time.
Cost of delay is real — in architecture, it’s often hidden.
We do capability design for Flow — focusing on enabling change in a predictable ways with an affordable rate. Capability design can be seen as the ‘theory’ or shared model that best explains what is happening.
Decision quality improves by designing systems that let the right decisions happen.
When we don’t design for Flow, shared models become vulnerable to erosion. People responsible for maintaining coherence are often busy and overwhelmed.
Designed for teams’ collective agency.
Endurance Intelligence provides the new instruments to navigate complexity. Friendly. Aesthetic. Reliable.