Cause Strife. Chew Glass. Tokenize Chaos.
My late mentor taught me the leverage of applying these concepts across company divisions to ship better products from the inside out. When strong leads embrace this mode of building, it becomes a team sport like the ones I grew up playing. Convert noise into signal to surface tension and catalyze the system to evolve from the top down. Identify what’s not working and fix it. Turn volatility into structure through insight and data. Force the right conversations. It’s not about constant harmony. The process is deliberate and incremental, like building strength through resistance.
Three quarters focused on 40% efficiency lift and millions saved in data spend. I don’t view alignment as the absence of tension but as the product of processing it well. The job isn’t to calm the chaos but to use it as a tool.
At Postmates I grew to see chaos as simply unstructured data that is often emotionally charged, tokenize it, and combine strongly held opinions with data. Every point of friction is a packet of truth about how a system behaves under stress. Structure it and extract the insights hidden in the noise. Pattern analysis and root cause analysis going upstream creating a measurable system. The faster you identify tension and loop it back into the system, the faster the system evolves. Technical support, design reviews, ops syncs, user research, and strategic planning turn hidden friction into shared understanding. chaos is telemetry. Big fan of vertical integration and platforms for it. Thanks James
Multimodal AI research 2023
Research project on a personal AI assistant with a constantly evolving prompt library based on engagement across platforms like Reddit. While the community doesn’t directly interact, they benefit from the incredible new network effects of community without the social. The project utilizes iOS and SMS using Xcode, Twilio, Figma, and the GPT3.5 API.
spacetime
/spacetime → apnt { confidence, decay, certainty, provenance }The next generation of machines are computing across multiple dimensions, processing fused spatial, temporal, and ephemeral data in real-time at the edge. These systems sense, localize, navigate, and compute without relying on any single network or signal.
Building geospatial infrastructure connecting space to the edge has demonstrated this across UAVs, UUVs, USVs, and HUDs. The potential for a vertically connected ecosystem linking intelligence from satellites to cloud to edge is clear, no GPS required.