Genuinely asking, not rhetorically. I've read a lot of AI-generated icebreakers lately, and the tells aren't always what I expect. Sometimes it's over-complimenting ("Your impressive work at X really stood out!"), sometimes it's just too smooth/no friction, sometimes it's actually fine and I only know because I was told it's AI.
What's the actual tell for you when you read a cold message? And does it matter if the content itself is accurate and relevant, or does the "feel" ruin it regardless?
Curious what people's real workflow looks like after finding/enriching a lead (email, LinkedIn info, whatever). CRM directly? A spreadsheet that's "temporary" and has been there for 8 months? Notion? Somewhere else entirely?
Everyone's setup seems different and I'm trying to figure out what the common denominator actually is. What's yours?
Working on scoring candidates against job postings with AI, and I keep going back and forth on this: a bare percentage feels untrustworthy no matter how good the model is, but a full paragraph of reasoning is too slow to skim across 50 profiles.
Landed on a point-by-point checklist (what's met, what's missing) as a middle ground, but curious how others handle this. If a tool told you "73% match," would you trust it without seeing why? Where's the line between useful signal and noise for you?
