REIMAGINING DISCOVERY IN AN AI-FIRST WORLD
AI product executive, builder, and writer working on how people discover content—and how AI changes the way product teams build.
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A conversation with Cris about his writing, projects, and AI perspective.
Selected writing
A focused collection on the future of streaming discovery, AI-native product leadership, trustworthy evaluation, and making complex systems understandable.
Modern discovery systems balance personal relevance, popularity, momentum, and strategic intent without letting promotion overwhelm user value.
LLM-native discovery can unify streaming recommendations when grounded catalog truth, governed memory, validation, and feedback protect user trust.
AI product managers need faithful explanatory artifacts that turn complex recommendation systems into reviewable behavior, not just static requirements.
A small team can use AI to experiment across the product, backend data, and algorithms, shortening the wait between an idea and what it teaches us.
Building an AI system to coordinate the software lifecycle, with human judgment at key decisions.
Timely reflections
Shorter observations, experiments, and working thoughts that stay close to the moment.
Oct 31, 2026
Individually sensible checks grew into a computing bill I kept increasing before looking at what the whole process was costing.
Oct 29, 2026
A Codex task stopped as my purchased credits ran down, a reminder that even an active turn has limits.
Oct 28, 2026
Dots has become a useful assistant in my day, but moving a conversation from text to voice still leaves work behind.
Developed thinking
Longer essays with a fuller argument, more structure, and a slower reading pace.
Oct 29, 2026
A Tetris experiment explores when a model earns its place alongside a conventional algorithm, and what that means for recommendations and product decisions.
Oct 27, 2026
Evals make a discovery team's expectations testable, connecting individual failures, ranking comparisons, and user evidence to decisions about what deserves to ship.
Oct 26, 2026
Experience can sharpen an ambitious product proposal when we can explain what earlier attempts actually established and what has changed.
Personal library
Longer-form photography, field guides, and writing collections designed for calm, focused reading.
AI product and technology executive with CPO, founder, and large-scale platform leadership across streaming, e-commerce, digital media, mobile, and web search. I focus on AI-powered discovery, personalization, search, recommendations, experimentation, and responsible product strategy at consumer scale.
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