Engineering perspectives
What our team is thinking about before it becomes code, research, or product.
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Beyond go-live: How live conversations make great AI even better
Go-live isn't the finish line for voice AI. Learn how Parloa turns production conversations into evidence for continuous agent improvement.
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Who improves the agent that improves the agent? Harness engineering at Parloa
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Inside Conversation Defense: How Parloa’s guard model reads the whole conversation
Read how and why Parloa engineered a third security layer, Conversation Defense, to work with Azure Security and Content Filters, for increased agentic security.
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The most expensive voice AI mistakes happen before you start building
Parloa's agent architect explains why the most expensive voice AI mistakes happen during discovery, long before design even begins.
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The stateless MCP standard for voice AI
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Why delegation matters more than ever in enterprise engineering
As AI agents take over execution, human engineers are shifting their focus to managing agents like managers manage people. Here's what that means in practice.
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Your agent is more than its model: Why Parloa engineers have doubled down on the agent harness
An agent's model is only sometimes the problem. Ready how the agent harness can be the real determining factor of if enterprise performance is won or lost.
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Building AI agents on shifting ground
LLM end-of-life cycles are measured in months, not years. Here's how Parloa adapts fast and improves their agent performance with each evolution.
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How we built Parloa's model evaluation system
Parloa's AMP Dojo System allows scalable and reproducible experimentation and testing of different components of Parloa’s product.
Work with us
Join Parloa to build what's next in artificial intelligence. We're always looking to work with the best and the brightest engineers and researchers.