A really common problem people run into when working with webhooks is this: the JSON comes in fine, but one of the fields you actually need is buried inside a messy block of text. For example, a webhook sends a message that includes a ClickUp task link, email, phone number, and notes all mashed together in one string. When you try to map that directly into another app, it either errors out or pulls the wrong value because Make can’t tell what part of the text you actually want. This is where the Match Pattern (Text Parser) saves you. Instead of fighting the JSON structure, you let Make parse the JSON first, then use a regex pattern to extract only the exact piece you need, like a task ID or order number. Once that value is isolated, downstream modules stop breaking, filters work properly, and your automation becomes predictable instead of fragile. I recommend using https://regex101.com/ when doing regex.

As a semi-retired senior with a fairly young travel business I know for sure I have to harness these skills or I may as well not be in business next year. excited to learn.

I see many in the AI space focusing on the wrong things. You don't need to analyze, then work on this thing over here and that thing over there, build scenarios in make.com or N8N that is not at that moment serving a problem for someone. All you need to do is throw yourself in the fire by finding a problem first, then you go build said scenario or workflow saving you lots of time and energy and learning at the same time in the hot seat. All love gng.

got a 9–5? you don’t need to quit. You need 3–4 focused hours a day. → 1 hour before work → 2 hours after → weekends = 15+ bonus hours That’s 25 hours/week you can build a real business in that. But only if you cut the noise. → no scrolling → no fake “research” → no 6-hour logo design sessions Instead: → pick 1 skill (lead gen, automation, landing pages) → offer it to real businesses → learn + sell every day → get your first client → stack momentum $10K/month isn’t magic. it’s just a few hours a day—used well. 👇 what’s stopping you from starting tonight?

Cold email isn’t dying. It’s getting sharper. Last 90 days inside my agency: 124,000 emails sent 27,000 prospects 60 meetings booked 9 clients closed No hype. Just math. Here’s what actually made it work. First: volume with structure. → 4 emails per contact → 2,000 emails/day → consistent sending, no spikes Second: real infrastructure. → 200+ inboxes → Google Workspace + Microsoft → separate domains → nothing tied to the main brand Cheap setups get banned. Proper setups scale. Third: testing in production. → multiple variants live → kill losers fast → double down on winners No guessing. Just feedback. Fourth: personalization that matters. → job role → company size → growth stage → clear relevance Not “Hi {{FirstName}}” nonsense. And the pivot most people miss: Step 3 in the sequence. That’s where deals are won or lost. New angle. New hook. Same offer. Cold email isn’t a dinosaur. It’s a machine. But only if you respect: → deliverability → volume → personalization → testing Otherwise, it’s just noise. 👇 what’s your current reply rate on cold email?