I’m trying to figure out if it’s possible to create a workflow that automatically reads my LinkedIn DMs and uses GPT (or another AI) to monitor and filter out the typical spammy cold outreach messages I get daily.
Ideally, I’d like to:
- Automatically detect and flag (or even delete) obvious salesy/cold outreach messages.
- Be left with only the more genuine, relevant messages I actually need to respond to. Whether these are left unopened or not deleted.
I get flooded with LinkedIn DMs every day, and sorting through them manually is a drain. Has anyone managed to build something like this with Make, GPT, or another automation/AI tool? Open to any suggestions.
Thanks in advance.