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24 contributions to AI Automation First Client
This ONE Question Predicts Your 85% Close Rate (Ask It in Minute 5) 🔥
20 discovery calls my first 3 months. 8 became clients. 12 wasted hours. Then I learned one question that predicts who buys. Ask it in first 5 minutes. THE QUESTION: "What happens if you DON'T fix this in the next 3 months?" Not "what's your pain" or "what's your budget." What happens if nothing changes? THE RESPONSES THAT PREDICT BUYERS: BUYER: "We'll miss growth targets. Hiring another admin just for data entry, $40K annually. Can't scale like this." Specific consequence. Financial impact. Timeline urgency. NON-BUYER: "I mean, it's annoying. Would be nice to fix eventually." Vague. No urgency. No real pain. THE PATTERN: Buyers have CONSEQUENCES for inaction. Non-buyers have INCONVENIENCES. Consequences = money, time, growth limits, team frustration Inconveniences = "would be nice," "annoying," "eventually" MY CLOSE RATES: Consequence answers: 11/13 closed (85%) Inconvenience answers: 1/7 closed (14%) WHY THIS MATTERS: Stop wasting time on inconvenience leads. Qualify hard early. If they don't have real consequence, they won't buy. THE FULL DISCOVERY FRAMEWORK: MINUTE 1-2: "Walk me through your current process." Listen. Take notes. Let them vent. MINUTE 3-4: "How long does this take monthly?" Get specific numbers. 10 hours? 20 hours? MINUTE 5: "What happens if you DON'T fix this in the next 3 months?" THE MONEY QUESTION. If strong consequence → continue call If weak consequence → "Sounds like this isn't urgent. Check back in a few months?" MINUTE 6-10: Demo solution (if strong consequence) Show working example. Their problem solved visually. MINUTE 11-12: Next steps "Want me to send proposal? We could start next week." OTHER QUALIFYING QUESTIONS: "Who else needs to approve this?" (reveals decision-making) "What's your timeline?" (reveals urgency) "What budget allocated?" (reveals seriousness) But consequence question is #1. REAL EXAMPLES: CLOSED: "If we don't fix this by Q2, hiring two more people. That's $80K annually. Our margins can't handle that."
2 likes • 4d
👍👍👍🔥
The LinkedIn Message That Books Discovery Calls 🔥
Sent 50 LinkedIn messages. Booked 8 calls. Closed 2 clients. Here's the EXACT approach. THE PROBLEM: "How do I find clients on LinkedIn?" Most advice: "Add value, engage with posts, build relationships..." Cool. But I needed clients now, not in 6 months. THE COLD MESSAGE THAT WORKS: Sent 50 messages using this template. Got 8 responses (16% response rate). THE MESSAGE: "Hi [Name], Saw your post about [specific pain they mentioned]. I actually helped [similar company] automate exactly this process - saved them 8 hours weekly. Not sure if you're still dealing with this, but happy to share what worked if you're interested. [Your name]" That's it. 3 sentences. THE BREAKDOWN: Sentence 1: Prove you're not spam (reference specific post) Sentence 2: Provide relevant social proof (similar company, specific result) Sentence 3: Low-pressure offer (no hard pitch) WHO TO TARGET: SEARCH FOR POSTS ABOUT: - "Spending too much time on..." - "Tedious process..." - "Manual data entry..." - "Overwhelmed by paperwork..." Filter: Posted last 7 days Target: Small business owners (not employees) Sweet spot: 50-500 employees MY TARGETING CRITERIA: Posted about operational pain in last week Title includes: Owner, CEO, COO, Operations Manager Company size: 50-500 employees Industry: Service businesses (agencies, firms, consultants) THE OUTREACH SCHEDULE: Day 1: Find 10 relevant posts, save profiles Day 2: Send 10 messages (use template, personalize sentence 1) Day 3: Find 10 more posts Day 4: Send 10 more messages Repeat: 50 messages total over 10 days THE FOLLOW-UP: If they respond: "Would a quick 15-minute call help? I can show you exactly what we built for [similar company]." Book call immediately. Send calendar link. Done. THE NUMBERS: 50 messages sent 8 responses (16%) 8 discovery calls booked 4 showed up 2 closed ($2,900 total) ROI: 10 hours outreach time = $2,900 revenue = $290/hour THE MISTAKES I MADE: First 20 messages: Generic ("I help businesses with automation")
4 likes • 14d
Thanks a lot, @Duy Bui ! I was just building my strategy for LinkedIn when you posted this)) very helpful!
Is n8n down today?
Am I the only one who gets "Request failed with status code 500" when trying to open or work in n8n? UPD something big is happening with Cloudflare and a lot of sites, LLM and services are down…Claude came back to life (not sure for how long)
2 likes • 17d
Looks like it’s a problem with Cloudflare 🙈
2 likes • 17d
@Marcus Williamsley well, I still cannot get beyond the page on your pic. When I try to sign in, it gives me Internal error again. But Claude and others are back. Which is good)
Hard-Earned Lessons
How do you structure n8n projects to avoid a 'big ball of mud'? After getting burned by a few overly complex and intertwined workflows, I wanted to ask others what patterns have they settled on? I'm not looking for theory, but for some practical, in-the-trenches methods for keeping workflows extensible and easy to update 6 months after you built them. What's your single most important rule?
2 likes • 18d
@Matthias Schweiker interestingly, I got some JSONs for n8n from Claude and they looked concise🤔 Although I had to tweak few things in the workflows and replaced some nodes for what I thought was a better fit for my purpose, still they where not too bad. Maybe the issue is in promoting - if you require LLM to put a lot of tasks into one workflow, it may give a complicated one (putting on top its own “creative” ideas🤪). At the same time starting the purpose of the project too generally may also lead a lot of “creativity” in number of nodes in the flow🙈 I was experimenting with this myself and came to a conclusion that I should use words like “simple”, “concise” and “clear” when I request LLM to create a workflow for a task. Telling it that I am just a beginner in building automations in n8n also helps to condition a concise output - a simple workflow. Then I build on top of this basis.
1 like • 17d
@AI Automate Services thanks a lot! 👍🔥🙏Will use it.
Vibe Coding Hidden Dangers
I had a conversation with an Indian guy, who has built an agent that interviews IT people for jobs, and he was going at vibe coding giving examples of how it can be completely insecure and that they prefer to build things coding themselves without any AI tools.🤓 Even though I think he was taking it to far, this actually made me think about the potential security issues and how to prevent them. ⚡⚠️ I would really appreciate if guys who came across this issues or prevented them shared their experience. Did anybody come across any security problems with n8n, Lovable.ai, Relevance ai, Make or any other platform?
2 likes • 18d
@Chris Jadama well, he basically was trying to talk me out of using vibe coding altogether for my projects 😊 he said that his team was coding the tool they created from scratch🤔😅…. But, knowing Indian style (I have a few Indian friends), I doubt it’s true - I doubt they didn’t use at least Cursor😉 But, that conversation made me want to look into the question deeper than before.
1 like • 18d
Just in case you guys haven't heard yet 😊- n8n has just introduced its Guardrail Node, which allows to put some protection in the flow https://www.youtube.com/shorts/NQhsLVmuItA looks like a very useful and needed tool
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Olga Kukh
4
52points to level up
@olga-kukh-5315
Staff training courses developer; Sales and communication trainer; Instructional designer; Recently started my journey learning how to make AI agents

Active 4h ago
Joined Sep 15, 2025