GenAI demos are easy. Production is where everything breaks. In this episode, Eduardo Ordax, Principal GTM GenAI at AWS, breaks down what actually stops companies from shipping reliable AI systems, and why the real blockers have little to do with technology. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...
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GenAI demos are easy. Production is where everything breaks. In this episode, Eduardo Ordax, Principal GTM GenAI at AWS, breaks down what actually stops companies from shipping reliable AI systems, and why the real blockers have little to do with technology. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...
Trust Is the Product: Building Reliable Billing in the AI Era with Cosmo Wolfe (Metronome)
Humans of Reliability
20 minutes
7 months ago
Trust Is the Product: Building Reliable Billing in the AI Era with Cosmo Wolfe (Metronome)
In this episode, we sit down with Cosmo Wolfe, Head of Technology at Metronome, to unpack how reliability, trust, and architecture intersect in one of the most critical and overlooked parts of the AI product stack: billing. As AI workloads introduce unpredictable usage patterns and nontraditional pricing models—from token-based to outcome-based—companies are navigating a new frontier of customer trust. Cosmo explains why billing is more than just a backend function; it’s a key moment of truth...
Humans of Reliability
GenAI demos are easy. Production is where everything breaks. In this episode, Eduardo Ordax, Principal GTM GenAI at AWS, breaks down what actually stops companies from shipping reliable AI systems, and why the real blockers have little to do with technology. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...
