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23 contributions to AI INSIDERS 👨🏻‍💻
What to do in the first week after an automation goes live
Going live is not the finish line. The first week is when you learn what you missed. A simple plan: Day one: watch every run as it happens. Do not trust it yet. Day two and three: read every reply the system gets from real people. The odd ones show you the gaps. Day four: write down every case where a human had to step in. Day five: fix the top two issues only. Resist the urge to change everything. Day seven: set a date for the next review and put it in the calendar. Tell the client what you are doing and when, so a quiet week does not look like nothing is happening. Most problems show up in the first few days, so catching them early is cheap. What is the first thing you check after a go-live?
What to put in the first reply to a new lead (it matters more than how fast you send it)
Speed gets all the attention, but a fast reply that says nothing still loses the lead. A good first reply does three things. First, it answers the one thing they asked. If they asked about price or hours, say it plainly instead of sending them to a form. Second, it asks one easy question that moves things forward, like what day works best or what they are trying to fix. One question, not five. Third, it tells them what happens next, so they know someone is on it. Keep it under three sentences. If the lead replies with something unusual, like an upset message, a pricing negotiation or a custom request, stop the automation and send it to a person. The goal is to be quick and sound like a human who read the message. What is the first reply you would never want a lead to receive? Curious what the group has seen go wrong.
0 likes • 16h
@Jay Feldman Spot on. A generic acknowledgment is basically a receipt, not a reply. Naming the exact thing they asked about takes ten seconds and changes the whole tone of the thread. I would add one more: keep it to the single question you actually need answered next, so it does not turn into a form. Do you find the specific detail matters more than raw speed?
0 likes • 16h
@Umer Mehmood That classification-first approach is the part most people skip. Routing the upset and pricing messages straight to a human with the original message attached is what keeps the automation from making things worse. One thing I would watch: make the holding line sound like a person, not a ticket system, or it reads as another bot. How are you deciding the threshold between a simple question and a booking?
How to write a voice agent script that does not sound like a script
The fastest way to make a call feel robotic is to write it like an email. Spoken language works differently. A few rules that help: Keep each line short. If you cannot say it in one breath, split it. Ask one question at a time. Two questions in a row and people answer only the second one. Plan for interruptions. People talk over the agent, so write lines that still make sense if they are cut off halfway. Say the name of the business early, so the person knows who is calling or who they reached. Always offer a way to reach a human. It builds trust and it protects you when the call goes sideways. Read the script out loud before you ship it. If it feels awkward to say, it will feel awkward to hear. Then test it with five real people who do not know how it works and ask them what felt off. What is the one phrase you always cut from a script?
0 likes • 2d
The numbers point is one people miss until they hear it read back. Writing it the way it is spoken, like three thirty instead of the digits, is a small change that shifts how human it lands. Same with confirmations, short and specific beats reading the whole booking back. Do you keep a separate spoken version of the script, or write it that way from the start?
the 3 step n8n webhook setup we use to auto render video ad variations on client request
for anyone building creative automation systems for clients or agencies here is a simple webhook architecture we set up to eliminate manual export queues instead of having an editor manually re export 15 aspect ratios whenever a client requests a headline swap we connected a form trigger to an automated render node 1 client payload intake: the client or media buyer fills out a simple airtable or typeform with new hook copy discount codes and product skus 2 dynamic payload injection: n8n catches the webhook parses the text strings and passes them directly to an after effects render script running on an isolated vps 3 automated cloud delivery: handbrake compresses the final mp4 files and an automated webhook drops the download links straight into the client slack channel curious what tools you are using to automate your video rendering and client delivery pipelines
0 likes • 9d
Nice clean split between intake, render and delivery. The bit I would tighten is failure handling on the render node, since After Effects on a VPS can hang on a bad file and the client just sees nothing. Adding a retry and a fallback that posts an error to the same Slack channel saves a lot of chasing. Do you queue the renders one at a time or run them in parallel?
Instagram Automation
My accounts are banning left and right through the automation that is given in classroom, how can I Use it so that accounts do not. ban?
1 like • 9d
The ramp looks sensible, so the ban is probably coming from what the automation does rather than how fast it sends. Instagram tends to flag repetitive actions like the same message text going out to everyone, or a link sitting in the first DM. I would vary the copy per send and keep links out of the opening message. Are you sending identical text each time, and does the automation also follow or unfollow?
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Md Murad Hossain
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@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 10h ago
Joined Sep 15, 2026
Bangladesh
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