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Leads that sit in an inbox over the weekend go cold.
The automation we set up for service businesses:
1. The website form fires a webhook on submit
2. A Make scenario receives it
3. An AI step reads the message and scores intent and budget
4. HubSpot gets a contact and a deal, with an owner assigned
5. Sales gets a Slack alert with a two-line summary
Nobody copies and pastes, nothing waits, and the team calls the hottest leads first. A person still makes every decision. The automation only removes the busywork.
Two things to add on day one: error alerts, so a broken step gets fixed before anyone notices, and a monthly check of the AI score against real outcomes.
How fast does your team reply to a new enquiry today?
Full article: sellwrightstudio.com/insights/every-lead-handled-automatically/
100%. The flow looks perfect in week one, then a token expires or someone renames a form field and leads quietly stop. A failed-step alert in Slack costs five minutes to set up and saves a lot of "did you get my message?" emails. Do you send yours to Slack or email?
This is a really clean setup, Raja. The AI scoring intent and budget before anything hits HubSpot is the step most automations skip, and it is the one that actually saves the team time. The monthly check of the AI score against real outcomes is smart too. Do you find the scoring...
It does drift. Offers change, seasons change and the kind of enquiries coming in shifts, so a score that looked right in month one can start favouring the wrong leads a few months later. That's why the monthly check matters: compare the scores with which leads actually closed, and adjust the prompt when they stop lining up.
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🌙 3:07 AM. Your team is asleep. Your AI agents aren't. 🤖
While you sleep, they:
💬 Reply to every new lead in seconds
📅 Book the slot straight into your calendar
🔔 Follow up before the lead goes cold
📊 Have your morning summary ready
☀️ You wake up to bookings, not missed messages.
🚀 I build AI agents for startups and small businesses.
🎁 Message me for a free of cost demo on your own services and prices 👋
The morning summary is what sells it. Owners want to see what happened overnight before they trust it.
AI Email Automation with n8n and Google Gemini
An AI workflow that reads every incoming email, sorts it into 6 categories, and takes the right action automatically.
The problem: businesses lose time and leads because customer emails are mixed with promotions, job alerts, and security emails.
What I built:
Gmail Trigger that picks up each new email
AI Text Classifier (Google Gemini) with 6 categories: Security Alert, Promotions, Jobs, Personal, Payments, and Client Inquiries
Automatic Gmail labels for every category
Google Sheets log for jobs, leads, and payments
AI information extraction for client emails (name, phone, service, budget)
AI-written reply drafts for client emails, saved as drafts so a person approves every reply
Instant Discord alerts for security, payment, and client emails
Tools: n8n, Google Gemini, Gmail, Google Sheets, Discord
This project is a working demo built on my own inbox. The same system can be adapted to any business email, such as travel agencies, event venues, stores, recruiters, and consultants.
Impressive workflow! I especially like the human approval step for AI-written replies. Automation with the right oversight makes a real difference. 🙌
You have a point but a time is coming when that manual work will be fully automated with Ai.
As most of us are still doing manual work some people are busy training Ai to take over that activities in nearby future
Manual work is always better than ai slop you can use ai for some clips but full video made with ai is unprofessional and a waste of money and resources
The point about people quietly training AI on today's manual tasks is the part most of us underestimate. Do you think the craft shifts to directing and curating those models, rather than disappearing entirely?