Engineering perspectives
What our team is thinking about before it becomes code, research, or product.
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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.
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Red teaming conversational AI agents: How Parloa stress tests production deployments
Learn about red teaming, the testing methodology with an attack taxonomy, evaluation pipeline, and deliverables that bring secure conversational AI to all customers.
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The caller’s register: Why language habits outlast the technology that created them
Parloa's agent architect explains how IVR systems have designed a certain linguistic register that voice AI systems need to transform through trust-building experiences.
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Scaling Parloa: When the platform becomes the product
Business expansion provides tremendous opportunities, and challenges. Read how Parloa's engineering overcome one of scaling's biggest hurdles with deployment stamps.
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The latency paradox: Why voice AI speed is a budget, not a target
Parloa believes that for the most natural-sounding conversations, latency in AI agents should be assessed as a budget, not a a set target. Read why.
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Multi-agent architecture: A look inside Parloa’s Subtask Agents
Most multi-agent work leverages supervisor LLMs at the routing layer. Multi-agent work for Voice AI requires an alternative approach. Learn how the architecture differs.
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.