I'm the founder of Runtime Labs, where I build Óra: a system for time coordination between humans and computers. My focus is on developing novel interaction paradigms that anchor natural language intent in time-based physical activity.

Time is a core foundation for grounding natural language intelligence in planned actions across the physical and digital world.

At Runtime Labs, I am building Óra, an Integrated Planning Environment (IPE) where models can operate on persistent, time-structured state rather than isolated prompts. Conversations and notes are preserved as timestamped event commits anchored in time and location, a general-purpose version control for life events and conversations.

My background is in neuroscience. The dominant interaction paradigm for language models remains detached from time: most interfaces treat time as backend metadata rather than as a core primitive for translating natural language intent into causal, grounded actions in real-world time.

In biological neural networks, time is central to learning which actions lead to which outcomes, even when feedback is delayed or arrives across long time scales.

I started Runtime Labs to build on that conviction, translating how biological systems intuitively understand and learn in time into the next generation of human-computer interaction.