How to get multiple agents to play nice at scale
- 自动化评估可提升AI代理行为的可预测性。
- 代理集群与单一高技能代理各有优劣需权衡。
- 客户行为直接影响技术架构的设计与优化。
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April 22, 2026
How to get multiple agents to play nice at scale
Chase Roossin, group engineering manager, and Steven Kulesza, staff software engineer, from Intuit join the podcast to chat about what might be the hardest problem in engineering right now: getting multiple AI agents to work together in a complex system.
SPONSORED BY INTUIT
Chase Roossin, group engineering manager, and Steven Kulesza, staff software engineer, from Intuit join the podcast to chat about what might be the hardest problem in engineering right now: getting multiple AI agents to work together in a complex system. They discuss how automated evals can make agent behaviors more predictable, agent swarms vs. one highly skilled agent, and how customer behavior shaped their technical architecture.
**Episode notes**
Want to work on complex engineering problems like these? Explore careers at Intuit.
We’ve worked with Intuit on a few other great blogs and podcasts, including Best practices for building LLMs and How Intuit democratizes AI development across teams through reusability.
Connect with Chase on LinkedIn.
Connect with Steven on LinkedIn.
Congrats to Lifejacket badge winner Sean for saving Creating the simplest HTML toggle button? with a great answer.
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