Not sure if anyone else has been struggling with getting qualified candidates lately,but for me the last few weeks were rough. I was spending hours every day messaging people on LinkedIn, sending follow-ups, checking resumes, and still ending up with a lot of unqualified leads. Felt like 80% of my time was just admin work. So I decided to experiment with a more automated approach, just to see what happens. What I Did I built a simple setup that: - Sends personalized messages to candidates automatically - Follows up if they don’t reply - Checks if they match basic criteria (experience, location, etc.) - And if they’re a fit, it just sends them a Calendly link to book a quick call All I do now is upload a list of candidates once a day and check my inbox for booked calls. The Result I went from messaging around 100 people manually → to 500+ messages/day running automatically.And the best part — I’m now only speaking with people who are actually a match. It freed up a few hours every day and I’ve already made a couple of placements from it. Just Curious Is anyone else here experimenting with some form of automation or smarter follow-up system?Would love to hear what’s working for you guys too. If anyone’s interested, I can show a quick screenshot of how I set mine up (it’s super simple — nothing too techy).

Hello, I tried to import the case study and onboarding funnel templates in perspective and they don't work for some reason. I can import the other template ok. Thoughts?

(Disclaimer: I promise I typed this out with my own actual human hands. If I used ChatGPT to write this, it would probably be using words like "delve" and "tapestry" right now.) I have been reading a lot of posts lately about AI in our industry. It seems like the reaction is usually split: people are either completely ignoring it, or they are terrified about data privacy. I run a recruitment agency and I completely get the hesitation. The idea of feeding sensitive candidate data into a public model sounds like a nightmare. But avoiding the tech completely because of fear is a mistake. To stay relevant, you have to find ways to utilize these tools safely. I used to spend hours on manual admin, but I realized I was spinning my wheels on the same dumb tasks day in and day out. Here is how we are saving about 15 to 20 hours a week using LLMs (text AI) without compromising security: 1. Sourcing without the headache I stopped manually guessing keywords. Now, I use AI to generate high quality Boolean strings based on the Job Description. I run those in LinkedIn and it cuts the sourcing time in half. I also built a workflow where the AI checks candidate profiles against a specific requirements list to see who is actually a fit. 2. The "Closed" Knowledge Base (Safe Training) This is the big one for security. We use tools (like NotebookLM) to train a bot *only* on our own documents. The data stays contained. We use it for: * Drafting policies based on our past docs. * Summarizing investigation interviews or long transcripts. * Creating "podcast style" overviews of complex documents so I can listen to a summary instead of reading 50 pages. 3. Checking for Bias People say AI introduces bias, but we actually use it to help remove ours. We run our JDs and emails through the system with prompts like: *"Hey, is there any language here that’s not inclusive? Or what about exclusionary language?"* It catches things we miss. 4. The Grunt Work It handles the stuff that breaks my focus. turning images of text (like resume screenshots) into bulleted lists, creating timelines from scattered dates in client notes, or doing quick math and Excel formulas.