Spent the last few months on this and wanted to hear your thoughts. Most AI cold email tools just mass-produce the same generic email. I wanted one that actually researches each person and writes something real. Here’s roughly how it works: - A planner agent acts like a consultant. You chat to it about your business and it builds the campaign strategy with you (ICP, list, offer). - A research agent goes lead by lead, pulls real signals on each person, and ranks how good a fit they are. - A copywriter agent writes each email and the follow-ups based on what the research actually found, so it reads one to one. Users bring their own API keys (Claude, Perplexity, OpenAI) so they control the cost. Would love your thoughts, especially from anyone just starting out and trying to get their first client. You can check it out here

When I first started cold email for my AI automation agency, I was hardly getting any replies. The emails sounded “fine” in my head, but looking back, I was doing it completely wrong. After running outreach consistently and testing loads of different approaches, I noticed that replies started coming in the moment i started using micro offers. Once I started making it about them and leading with value, everything improved: more replies, better conversations, more booked calls. So I put together a quick breakdown of what micro offers are and how I use them to consistently get a 10-16% reply rate on my cold email campaigns. You can access it here, hope it helps 👍

I know a lot of you in here use Apollo to build lead lists for either your own business or your clients. But one thing I don't think people realise is just how powerful Apollo's filters actually are. Most people use a few basic filters, pull a big list of leads, and call it a day. The problem is that your filters determine who ends up on your list, and if you get them wrong, you're going to spend time reaching out to people who were never a great fit in the first place. Once I started getting more intentional with the filters I used, my lists became smaller but way more relevant, which made everything else easier. Better personalisation, better replies, and better qualified calls. So I put together a free Apollo filter guide breaking down the main filters I use and how I think about building lead lists inside Apollo. You can access it here, hope it helps 👍

Does anyone here find cold email hard and if so what part?

10 months ago when it came to doing cold email for my ai agency, I'd spend ages setting up domains, writing emails, building lists, and then wonder why the campaign wasn't performing. The problem was that I had no real plan. I was just launching campaigns and hoping everything would work itself out. After a lot of trial and error, I realised that the best campaigns are usually won before the first email is even sent. Once I started planning things properly, who I was targeting, what problem I was solving, and how I was positioning the offer, everything became much more consistent. The emails were more relevant, the replies improved, and the calls became easier because the foundations were already there. So I put together a quick guide breaking down the 3 stages I go through before launching any cold email campaign now so it's easier for you to build high converting cold email campaigns. You can access it here, hope it helps 👍