I’ve definitely cut down a lot of my workload with them.
I have data between multiple external systems I need to manage, so I built some tools to automate it.
Since the LLM agent can do follow up queries against the APIs independently it excels at cross referencing between systems. This work is impossible to know beforehand, so you can’t traditionally automate it.
So what used to waste several hours a week of pulling data, searching with crap search tools, pulling data again, etc. In 12 browser tabs is now just an LLM doing a couple dozen tool calls.
That leaves me to just take the output and act on it.
I’ve done tests and it is accurate and reproducible enough. Plus I already have a good sense of when such info exists, so if it is wrong I can trivially redirect it.
I’ve definitely cut down a lot of my workload with them.
I have data between multiple external systems I need to manage, so I built some tools to automate it.
Since the LLM agent can do follow up queries against the APIs independently it excels at cross referencing between systems. This work is impossible to know beforehand, so you can’t traditionally automate it.
So what used to waste several hours a week of pulling data, searching with crap search tools, pulling data again, etc. In 12 browser tabs is now just an LLM doing a couple dozen tool calls.
That leaves me to just take the output and act on it.
I’ve done tests and it is accurate and reproducible enough. Plus I already have a good sense of when such info exists, so if it is wrong I can trivially redirect it.
interesting. how do you set llms up to talk to apis? what tools are you using?
I wrote model context protocol servers