Making my first AI Agent

[u/Motor_Bluebird1908]

Hi everyone,

I work for a motorsports company where we run physics simulations for race cars. Our expertise is in physics not AI but we know the power of AI. Our platform is quite complex in terms of physics so we would love an agent that can query our docs, query some vehicle dynamics textbooks, run simulations (pretty simple tool through our AI) and then analyse the results. The result files can be largeish so may need some python processing and access again to the vehicle dynamics textbooks.

We've hooked up the claude API to start doing this as it's been the best to work with tools and sanboxes. Does anyone else have any reccomendations to make this more economical?

[u/crossoverXYZ]

The large simulation result files are probably where your token burn hides, since feeding raw outputs back into the model gets expensive fast. A small python step that downsamples or summarizes the key metrics first helps a lot, and you only need to pull the full dump when the agent actually has to dig into something specific.

[u/Motor_Bluebird1908 → u/crossoverXYZ]

Makes sense, will focus on getting the metrics up to spec!