What Do Production AI Agents Actually Look Like? An Empirical Study
Автор: Vivek Haldar
Загружено: 2025-12-08
Просмотров: 523
Описание:
A deep dive into a comprehensive empirical study of AI agents deployed in production environments. This paper surveyed ~300 practitioners and conducted in-depth interviews to understand what real-world AI agent deployments look like.
Key findings:
Most deployed agents are workflows rather than fully autonomous systems
Organizations build custom agent loops rather than using frameworks like LangChain
Reliability remains the #1 challenge
Heavy reliance on human expert evaluation over formal benchmarks
Paper: https://arxiv.org/abs/2512.04123v1
0:00 Introduction
0:48 Why build agents?
1:44 Agent properties and deployment
3:38 Agent architectures in production
5:18 Multi-agent systems
6:21 Evaluation challenges
10:14 Reliability as the key challenge
11:38 Conclusion
• Coding Agents Are Outliers
• Claude Skills will eat (most) agents
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