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11 contributions to KVK AI
How to handle duplicate records in an automation
Duplicates sneak in when the same person arrives through two routes, or when a step runs twice after a failure. Decide what makes a record the same before you build. An email address works for many cases, a phone number for others, and sometimes you need both. Search for an existing record first, then update it instead of creating a new one. Make steps safe to repeat. If a step runs again, it should leave the same result rather than add another copy. Run a regular check for near matches, such as small spelling differences, and merge them with care. How do you decide that two records are the same?
🚀Small AI Automation Wins Can Lead to Bigger Opportunities
One thing I find exciting about learning AI is that you don't need to build a huge system to see results. Sometimes, automating one repetitive task can save time, reduce manual work, and give you more room to focus on higher-value projects. Here are a few tools worth exploring when building and tracking automation projects: - ⚡ [n8n](https://n8n.io/) — Connects apps and automates workflows, with options for AI-powered processes. - 🔗 [Make](https://www.make.com/) — Builds visual workflows that connect different apps without needing to code everything manually. - 🤖 [OpenAI](https://platform.openai.com/) — Provides APIs for adding AI capabilities to chatbots, assistants, and automated workflows. - 📊 [Google Sheets](https://sheets.google.com/) — Tracks leads, workflow results, time saved, and project performance. - 🧠 [Notion](https://www.notion.com/) — Organizes project documentation, experiments, and lessons learned. - 🌱 [Floment](https://floment.ai/) — Another platform to explore for sharing ideas, projects, and discussions with online communities. A useful habit is to measure the result, not just whether the automation works. For example, compare how long a task took manually versus how long it takes after automation. That gives you something concrete to show a client or add to your portfolio. What's one AI tool or automation you've tried that genuinely saved you time, helped a client, or created a new opportunity? I'd love to hear the actual results! 💡
0 likes • Oct 13
the invoice sorter is the entry point, not the destination. chain it like this: sorted invoice arrives → if amount > $500, ping yourself to review → if < $500, auto-approve and log to sheet → if overdue, trigger a follow-up message. the chaining part is just adding conditions to what the sorted invoice MEANS. you already have the data — now you’re deciding what action each state triggers. first chain to build: sort + one condition + one output. takes 20 minutes. the bigger system becomes obvious once it runs once.
0 likes • 6d
@Emily Harper Keeping an approval checkpoint on payments until the rules prove themselves is the right instinct, because a wrong auto approval costs far more than a slow one. The one condition and one output start is what makes that checkpoint easy to place, since you can see exactly where the decision happens. Do you find the checkpoint is easier to remove later, or do you keep it for the high value ones?
ai cold emails got me 2 replies from 300 sends
ran ai written cold emails to 300 people last week and got 2 replies, both were people asking to be removed lol. feels like the personalization is the whole game and the copy barely matters. is ai outreach still beating manual for yall or nah, what are u seeing?
0 likes • Oct 13
@Noah Game hybrid. the signal identification (which reviews are worth reading) can be automated — n8n scrapes and scores by keyword density + recency. but the 90 sec is the READING step, not the pull step. i still read the flagged ones myself. the model reads them and writes the same opener. i read them and write the one that actually lands.
0 likes • 6d
@William Crafts Fifty good ones beating three hundred junk is the whole lesson, and it usually shows up the moment you stop writing from the product and start writing from the review. Pulling the exact phrase people use is what makes the opener feel written for one person. Do you find the review text gives you enough, or do you still need a line from their site?
Pre-masterclass share: the AI service that’s producing the fastest ROI for clients right now
With the Weekly AI Masterclass happening in 16 hours, figured this was a good time to share what’s been producing the clearest, fastest results in the field. The AI service that sells and retains best: Missed Lead Recovery System The core automation: → Business misses a call → AI sends SMS in <10 seconds → AI qualifies the lead in real time → books into calendar → 7-day smart follow-up for non-responders → Voice AI layer: answers calls 24/7, qualifies, books → Full pipeline automation Why this converts to retainer: 1. Every business owner feels the pain of missed calls 2. ROI shows in 2-3 weeks (visible booked appointments) 3. Real stickiness — they won’t turn it off once it’s working Results: HVAC client went from 11% to 34% appointment rate in 6 weeks. Retainer range: $500-$2,500/month. Happy to talk through the setup or how to pitch it. Looking forward to the masterclass!
0 likes • Oct 13
liton's sender name switch is underrated. one thing I'd add for the day 7 note specifically: include a low-pressure reply option. something like 'no rush to respond — just wanted you to know the door is still open if timing gets better.' the sequences that sound like bots are the ones that never give permission to say no. the moment you give that permission, saying yes stops feeling like a trap. been running that framing for roofing and dental follow-ups. the day 7 reply rate went up, not down, after adding the opt-out line.
my ai inbox kept calling newsletters urgent
automated my morning inbox sort with a claude prompt + make and it went from like 40 min to 12. bug was it kept marking every newsletter as urgent lol, fixed it by telling it anything with an unsubscribe link is not urgent. what boring stuff are yall automating rn
0 likes • Oct 13
boring automation that saves the most time for me: client project kickoff emails. when a new project is confirmed in GHL, n8n pulls the contact data, generates a 'here’s what happens next' email with specific dates and next steps, and sends it automatically. used to spend 20-30 min writing those. now it’s 0. the thing about 'boring' automations is they run every single day. the clever one-time build doesn’t compound the same way.
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Md Murad Hossain
2
13 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 4h ago
Joined Sep 21, 2026
Bangladesh
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