Simulation-Maxxing: How Nubank ships agents 20× faster with simulations

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Official Description

You know how to build an agent - write a prompt, spec out some tools and call an LLM (or gateway).

At this point, you probably also know how to build an agent that “actually works” using some

combination of agent frameworks, eval tools and looking at your data. This talk is about building an

agent much, much faster using simulations to hill-climb your agent configuration instead of grinding

on real data. We’ll dive deep into a case study of how a top-5 fintech made their agent dev cycle

20x faster using simulation-driven optimization. We’ll cover: - When to use real data vs.

simulations in agent building - How to design simulation environments tailored to your agent - How

to automate the optimization loop so you’re hill climbing agent configurations without manual tuning

Related YouTube Video

Trust, but Verify: Shreya Rajpal (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

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Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

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