REIMAGINING DISCOVERY IN AN AI-FIRST WORLD
Cristiano Pierry
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
Featured Writing
A focused collection on the future of streaming discovery, AI-native product leadership, trustworthy evaluation, and making complex systems understandable.
The Discovery Brain: Why LLMs Will Become the Foundation of Streaming Recommendations
LLM-native discovery can unify streaming recommendations when grounded catalog truth, governed memory, validation, and feedback protect user trust.
Modernizing Discovery and Promotion in Personalized Products
Modern discovery systems balance personal relevance, popularity, momentum, and strategic intent without letting promotion overwhelm user value.
The Product Manager’s New Operating System
AI-native product work rewards PMs who can turn intent into artifacts, inspect evidence, and own judgment across faster operating loops.
Taste, Trust, and Truth: How to Evaluate AI-Powered Discovery
Once a discovery system starts speaking, accuracy alone is not enough. You have to evaluate fit, trustworthiness, and product impact together.
The Art of Making Algorithms Understandable
AI product managers need faithful explanatory artifacts that turn complex recommendation systems into reviewable behavior, not just static requirements.
Developed thinking
Latest Articles
Longer essays with a fuller argument, more structure, and a slower reading pace.
One Task, Multiple Agents, One Continuous Loop
Jul 13, 2026
Trustworthy multi-agent systems emerge from evidence contracts, interruption rights, recovery paths, and human feedback—not from parallelism alone.
I Knew What AI Could Do. I Forgot to Think That Way.
Jul 12, 2026
AI-forward thinking begins by questioning inherited architecture: let models interpret raw evidence, deterministic systems constrain and test it, and humans own the decision boundary.
The Best AI Will Not Ask You to Choose a Model
Jul 10, 2026
AI products will earn broader adoption when they translate user intent into the right capability, instead of making people configure the machinery.
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Browse the long-form archive for deeper essays on AI, product thinking, and building with modern tools.
Timely reflections
Latest Notes
Shorter observations, experiments, and working thoughts that stay close to the moment.
When the Frontier Gets Crowded
Jul 15, 2026
Frontier-model capacity warnings reveal how quickly AI is becoming everyday infrastructure for work, creativity, and problem-solving.
Apparently, the AI Revolution Does Not Take Weekends Off
Jul 13, 2026
AI builders and toolmakers are compressing feedback into production so quickly that weekends now feel like low-traffic deployment windows.
At Least My AI Is Honest
Jul 13, 2026
An honest AI evaluation can expose bad work quickly—and reveal how much the framework is evaluating the human too.
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Browse the shorter reflections, experiments, and working thoughts from the full notes archive.
Personal library
Books
Longer-form photography, field guides, and writing collections designed for calm, focused reading.
About
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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