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14 contributions to The AI Academy
How to check whether an AI summary missed something important
Summaries save time, but they can quietly drop the one detail that matters. First, skim the original for names, dates, amounts and decisions. Check that each one appears in the summary. Then ask the AI what it left out and why. Often it will point to something worth adding. Look for anything in the summary that is not in the original. That is the sign of a guess. For anything important, keep a link or quote to the source. A two minute check on the key details is worth it. What do you always verify?
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Turning Missed Leads Into Automated Follow-Ups 🚀
I recently built an automation system designed to solve a common business problem: leads coming in but follow-ups getting missed. 🔧 My Approach I connected GoHighLevel + CRM + Workflow Automation + AI/n8n to create a simple lead management system: Lead Capture → Instant Response → Qualification → Automated Follow-Up → Pipeline Update → Human Handoff The goal is simple: make sure every lead gets the right response at the right time, while reducing repetitive manual work. 💡 What I Do I help businesses build: - GoHighLevel CRM & workflows - Lead generation & sales funnels - AI-powered automations - n8n integrations - Lead nurturing & follow-up systems If you're dealing with missed leads, manual follow-ups, or repetitive tasks, let's connect. I’d be happy to explore what we can automate. 🤝
0 likes • 19d
Good question. The handoff trigger fires on intent, not on a timer. If the lead replies with something that needs a human, like a pricing question or a specific request, the sequence pauses and a task lands in the manual queue with the full context. If they just go quiet, the automated follow up keeps running until they engage.
How I use AI to turn "I’ll think about it" leads into booked calls (without manual follow-up)
"I'll think about it" is where most service business revenue goes to die. Not because the person wasn't interested. But because there was no system to follow up at the right time, in the right way. Here's the AI workflow I use to convert warm leads who don't book immediately: Stage 1: Lead enters but doesn't book → AI sends a value-add message 24 hours later (not "just checking in" — something genuinely useful) Stage 2: 3-day mark → AI shares a relevant insight or success story based on what they originally enquired about Stage 3: 7-day mark → AI asks a qualifying question ("Has anything changed since we spoke?") → If they reply: routes to human or auto-books based on response → If silent: moves to 30-day nurture Stage 4: 30-day reactivation → AI re-engages with a fresh angle (new offer, season, or relevant news) The key is: every message is personalised to their original enquiry. No generic templates. Claude handles the personalisation. This runs entirely automatically. No manual follow-up needed. What AI tool are you using in this community for your own follow-up systems?
0 likes • Sep 29
The 'just checking in' message is the fastest way to kill a warm lead — so the genuinely useful angle at 24 hours is the right call. Worth adding: the 'I'll think about it' problem often starts before Stage 1. When a service business misses an inbound call, the prospect mentally shifts to 'thinking about it' within minutes. The AI that picks up the missed call within 3 seconds recovers most of them before your sequence even needs to fire. What does the success story message at Stage 2 look like for a trade business specifically?
How to Use "Questions" - Get Better Answers, Faster 🙋
This is your go-to spot when you're stuck on a tool, troubleshooting a workflow, or need feedback. But how you ask matters. A well-structured post gets you help in hours. A vague one gets you "can you share more details?" and delays everything. Follow these steps and you'll get faster, better answers every time. 📋 Before You Post 1. Search First → Use the searchbar, check the Guides in the classroom, or browse past posts. There's a good chance someone already solved your problem. 2. Post in the Right Place → If it's a question or you need help, it belongs in Questions. Wins go in Wins. Resource discussion goes in General Discussion. Don't mix them up. ✍️ When You Post 3. Write a Specific Title → "ChatGPT not generating the output I want from my prompt" is useful. "Help please!" is not. The title is how people decide whether they can help you. 4. Include Screenshots or a Video → Show your screen, your setup, the error, the output. Without visuals, the first reply will be "can you share a screenshot?" — and that just slows everything down. 5. Explain What You Tried → Don't just say what's broken. Say what you already attempted. This saves everyone from suggesting things you've already done. 🔁 After You Get Help 6. Reply Directly → Use the Reply button so the person helping you actually gets notified. Don't just post a new comment in the thread — it gets lost. 7. Update Your Post → Once your issue is solved, edit the title to add [SOLVED]. This turns your question into a resource for the next person with the same problem. 8. Like Helpful Responses → If someone took the time to help you, hit the like button. It takes one second and keeps people motivated to help others. 🤝 Help Others Too The best communities aren't one-way. If you see a question you can answer, jump in. You don't need to be an expert - sometimes just sharing what worked for you is enough. The more you give, the more you get back. - Drew
0 likes • Sep 24
This framework is solid. The one I'd add as step zero before even searching: write out what you actually want to happen in plain language first. Not what's broken, not the error message — the outcome you're trying to produce. It sounds obvious but 80% of unclear questions come from the person not having articulated the outcome to themselves yet. Once you do that, the specific question almost writes itself, and you'll often realize mid-sentence that you can answer it yourself.
Early bird gets the worm! 🪱
First three people to respond to this message get FREE lifetime access to our new Skool group JARVIS OS! You’ll be a beta tester and helping us make the best AI operating system on the market! 🔥 Happy Monday!
Early bird gets the worm! 🪱
0 likes • Sep 24
Excited for the demo video — the concept clicks immediately but seeing the actual workflow in action is what usually answers the deeper questions (how it handles context between tasks, how much setup is required per use case, where human judgment is still needed vs where it fully automates). Drew, once the demo is live, it would be great to see a side-by-side of the same task done manually vs through JARVIS OS to really show the time delta.
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Md Murad Hossain
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14 points to level up
@md-murad-hossain-5663
GHL + n8n automation system for local business | AI Voice & SMS Agent, CRM & Lead Follow-Up | Helping businesses capture, qualify & convert more leads

Active 3h ago
Joined Sep 21, 2026
Bangladesh
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