> 4) For non coding usecases, I use https://www.ctlflow.com. This lets me run dozens of agents on tasks like equity analysis. The information a swarm of agents can surface from a large data store can be quite surprising.

Can you tell me more about #4 regarding what your heuristics, methods, and use cases are for equity analysis?

I ask because currently I am building a narrow use case Python app using Claude specifically to filter equities that may have an asymmetric potential to buy LEAP options exceeding 1-2+ years.

I am not a finance/quant bro, but I do want to get better at leveraging AI to be a better investor.

Thanks!

> 3) I mostly make Claude coordinate a group of Codex agents.

Same here. Are you just using a skill or something else. Beyond direct CLI calls to each other, I’m using contextify to share past sessions between them.