Engineering perspectives
What our team is thinking about before it becomes code, research, or product.
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Building customer-facing data products: A builder’s perspective
At Parloa, our AI agents drive high-stakes customer interactions, which demands a data platform designed for resilience. This article gives an overview on the architecture and governance principles we’ve implemented to meet this challenge.
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GPT-5.2 doesn’t just follow instructions, it follows through
There’s a specific kind of model failure we like to track closely. It doesn’t show up in latency graphs or user feedback. It sounds like the system is doing the right thing. It looks like it’s doing the right thing. And yet: the action never happens.
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What happens when calls never end?
Every customer conversation has a rhythm: a start, a middle, and (generally) an end. But what happens when it doesn’t?
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