tom704

Hi man I recommend taking a look on repvue.com they have pretty good data on this

Hi Samia, full disclosure I'm a co-founder of Driven a sales comp tool, and when a customer is set-up with us. They can basically do all of this modeling through MCP. We make it easy as well with providing skills. We believe this is the right way to do it because in all honesty your business is so custom, that a generic tool cannot be build for it.

we keep the diagnosis dense, with a confidence score. so it's very digestable for a human to understand and act on, you can always ask follow-up questions when necessary

they will definitely move towards this, challenge will be keeping down the false-positives, noise is a value killer

I think Sentry.io is making first steps in here

You still have to infer that from the traces. However, it's a matter of time these tools will start giving suggestions of where it went wrong

In essence agents will always be probabilistic, so reproducing it exactly the same is hard/impossible. However, this gives all the best context you can use. You don't have to debug it manually yourself, you can give this context to AI to help you find the issue

However, if you use Claude Managed Agents this can be observed out-of-the-box by looking at the session of the agent

I would suggest Langfuse, Mastra

if you want to monitor tool calls, context etc