Medicare Gooogle Calendar Appointment Setter
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127
LouisInsight — AI Voice Agents & Automation
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1
AI Competitor Analysis Automation
Knowing your competitive landscape is one thing. Having it researched and structured automatically is another.
Built a Make.com (http://Make.com) automation triggered via webhook that pulls a record from Airtable, routes through an intelligent analysis pipeline — using OpenAI to identify the target persona, map out products and services, determine who they recommend, and surface the top competitor. A router then splits based on whether you're the market leader or a challenger, grabbing citations, getting recommendations, running a head-to-head comparison, and setting all variables for each scenario. The final aggregated results get written back to Airtable automatically.
Trigger it. Get a full AI-powered competitor breakdown in your database. No manual research.
Stack: Webhooks · Make.com (http://Make.com) · Airtable · OpenAI · Router · Array Aggregator
0
99
Systeme.io (http://Systeme.io) Contact Sync & Quote Generator — M3 Process Services
Generating accurate service quotes manually while keeping your CRM in sync is the kind of work that quietly eats hours. This does both automatically.
Built a Make.com (http://Make.com) automation for M3 Process Services that triggers via webhook, fetches location data from Google Maps, runs the contact through a multi-step data pipeline — pulling order details, pricing, shipping, additional services, and service process variables — then routes into a quote generation flow. Notion handles the quote document creation, HTTP delivers it, and the result fans out across multiple Systeme.io (http://Systeme.io) paths, syncing the contact and sending the right email based on the service type and routing conditions.
Enquiry in. Location checked. Quote built. Contact synced. Email sent.
Stack: Webhooks · Make.com (http://Make.com) · Google Maps · Notion · HTTP · Systeme.io (http://Systeme.io) · Router · Email
0
55
Etsy Orders → FreeFinance Automated Invoicing Pipeline
Every Etsy sale needs a proper invoice. Doing it manually for every order doesn't work at scale.
Built a Make.com (http://Make.com) automation that runs hourly, watches for new Etsy orders, configures the field mappings for FreeFinance invoices, iterates through each order's line items, aggregates them, runs a second iterator and aggregator pass for complex orders, then routes each transaction down the appropriate path — creating or replacing customers in FreeFinance, generating finalized invoices, creating payment records, and notifying the relevant team member via email for each outcome.
Order placed on Etsy. Invoice finalized in FreeFinance. Team notified. Books updated automatically.
Stack: Make.com (http://Make.com) · Etsy · FreeFinance · Iterator · Array Aggregator · Router · Email
0
88
Teamleader → Google Contacts Two-Way Sync Pipeline
When your CRM and Google Contacts fall out of sync, things get missed. This keeps them aligned automatically across every contact field.
Built a Make.com (http://Make.com) automation that triggers instantly when contacts are updated in Teamleader, routes through a multi-path router to handle different contact types and field structures, and runs each path through a Teamleader data fetch, array aggregation, and Google Contacts create/update — across eight parallel routing branches covering the full range of contact scenarios.
Contact updated in Teamleader. Google Contacts reflects it immediately. Every field. Every time.
Stack: Make.com (http://Make.com) · Teamleader · Google Contacts · Router · Array Aggregator
0
84
AI Sales Analysis for Loyverse Receipts — OpenAI & Gmail
Raw receipt data tells you what sold. This tells you what it means.
Built a Make.com (http://Make.com) automation that runs daily at 11:59 PM, pulls receipt data from Google Sheets, fetches the corresponding Loyverse records, iterates through each entry, aggregates the data across two parallel processing paths, retrieves and cross-references additional Google Sheets data, runs the compiled sales data through OpenAI to generate a structured analysis, and delivers the finished report via Gmail — ready in your inbox every morning without touching a thing.
Day ends. Data collected. AI analyses. Report delivered.
Stack: Make.com (http://Make.com) · Google Sheets · Loyverse · OpenAI · Gmail · Iterator · Array Aggregator · Router
0
61
Gmail Attachment → 6-Path Conditional Slack Notifier (Zapier)
Not every email attachment belongs in the same hands. This routes each one to exactly the right person automatically.
Built a Zapier automation that watches Gmail for new attachments, splits the flow into six conditional paths based on defined criteria, and sends a private Slack message down each matching path — ensuring the right team member or channel gets notified based on the attachment type, sender, or subject.
New attachment arrives. Conditions evaluated across six paths. Right person notified privately. No manual triage.
Stack: Zapier · Gmail · Paths · Slack
0
63
Matching loan applicants to the right product manually is slow, inconsistent, and doesn't scale. This handles the entire decision tree automatically.
Built one of the most complex Make.com (http://Make.com) automations in this portfolio a Loan Match Quiz system that captures quiz responses via webhook, fetches the applicant data, then fans out across a massive multi-branch router. Each branch evaluates the quiz answers against loan criteria, sets the relevant variables via Supabase-style data nodes, and triggers a tailored email sequence based on the matched loan product. Dozens of routing paths cover every possible quiz outcome, ensuring every applicant gets the right response, the right offer, and the right follow-up instantly.
Quiz submitted. Profile matched. Personalised loan offer emailed. Automatically.
Stack: Webhooks · Make.com (http://Make.com) · HTTP · Supabase · Router · Email
2
76
Gmail Attachment → Conditional Slack Channel Notifier (Zapier)
Not every email attachment needs to go to the same place. This routes them to the right Slack channel automatically based on defined conditions.
Built a Zapier automation that watches Gmail for new attachments, splits the flow into paths based on path conditions, and sends a formatted Slack channel message via a bot — routing each attachment notification to the correct team channel depending on the criteria met.
New attachment lands. Conditions checked. Right team notified. No manual forwarding.
Stack: Zapier · Gmail · Paths · Slack
0
59
Website Chatbot — The Magic Dry Cleaners
A website visitor shouldn't have to hunt for information or wait for a response. This chatbot handles them the moment they land.
Built a conversational chatbot flow for The Magic Dry Cleaners that greets visitors, identifies their intent, and guides them down the right path. Visitors choosing dry cleaning get walked through item categories clothes, furniture, or other then introduced to the business and prompted to book. Those just browsing get a friendly hold message. Anyone asking who the business is gets a quick company intro with a call-to-action. Lead capture kicks in the moment someone shows buying intent, collecting their name before moving them forward.
Friendly, on-brand, and built to convert browsers into bookings.
Stack: Chatbot Builder · Conversational Flow · Lead Capture
0
64
Newcastle SEO Conference — Email to Mailing List Pipeline (Zapier)
Building a conference mailing list manually from inbound emails is tedious and error-prone. This handles it automatically the moment an email arrives.
Built a Zapier automation that watches for new inbound emails via Zapier's Email Parser, extracts the relevant contact details, creates a new row in Google Sheets for records, and simultaneously creates or updates the contact in ActiveCampaign keeping the mailing list clean, current, and ready for campaign sends.
Email received. Logged. Added to the list. Done.
Stack: Zapier · Email Parser · Google Sheets · ActiveCampaign
0
54
Ticket Tailor → Xero Instant Invoice Creation (Zapier)
Every ticket sale is a billable transaction. This makes sure Xero knows about it the moment it happens.
Built a Zapier automation that watches Ticket Tailor for new orders and instantly creates a sales invoice in Xero no manual data entry, no accounting lag, no missed transactions.
Simple, clean, and reliable. The kind of integration that quietly saves hours every week.
Stack: Zapier · Ticket Tailor · Xero
0
65
Single AI Agent with Notion & GitLab Tool Routing
One agent. Two tools. Decides what to do and where to send it — automatically.
Built an n8n AI agent workflow triggered via webhook that passes the request to a Tools Agent powered by OpenAI with simple memory. The agent has access to two tools Notion for creating pages and GitLab for creating issues and decides which to use based on the input. The output then passes through an if/else condition that routes the webhook response down the appropriate path depending on the outcome.
A clean, reusable pattern for any scenario where an AI needs to decide between multiple actions and return the right result to the right endpoint.
Stack: n8n · Webhooks · OpenAI · Notion · GitLab · Router
1
71
Telegram AI Chatbot with DALL-E 3 Image Generation
A Telegram bot that can hold a conversation and generate images on demand without switching apps or tools.
Built an n8n conversational AI agent that listens for incoming Telegram messages, processes them through an OpenAI chat model with window buffer memory to maintain conversation context, and uses DALL-E 3 as a tool whenever an image is requested. Successful responses get sent back to the user as a message, with a separate error-handling path that sends a corrective message if anything goes wrong. The image generation runs as a sub-workflow triggering DALL-E 3 via the OpenAI API, sending the photo directly back into the Telegram chat, and appending the response field cleanly.
Chat with it. Ask for an image. Get it delivered in the same conversation.
Stack: n8n · Telegram · OpenAI · DALL-E 3 · Window Buffer Memory
0
59
Think & Act AI Agent Framework — Dual-Stage Reasoning Pipeline
Most AI automations react. This one thinks first, then acts.
Built an n8n workflow using a two-stage AI agent architecture a "Think" agent and an "Act" agent running in sequence, each powered by OpenRouter with structured output parsers enforcing clean JSON at every step. A configuration node sets the full context upfront, the Think agent reasons through the task using memory and tool access, its output gets parsed and passed to the Act agent which executes based on that reasoning, and the final structured result is returned ready for the next step in any connected workflow.
The result is a reusable, modular AI reasoning layer that can be dropped into any automation stack where decisions need to be made intelligently before actions are taken.
Stack: n8n · OpenRouter · AI Agents · Structured Output Parser · JSON Schema · Webhooks
1
1
90
Sentiment Analysis Pipeline — Form Submissions & Twitter → Strapi
Knowing what people think about your brand matters. Doing it manually doesn't scale. This monitors two channels at once and filters automatically.
Built an n8n workflow with two parallel tracks. The first watches for inbound webhook form submissions, simplifies the data, runs a sentiment analysis on the content, merges the result with the source, and stores only positive submissions as entries in Strapi. The second runs every 30 minutes, searches Twitter for relevant tweets, filters out retweets and old posts, analyzes the sentiment of each original tweet, merges it with the source, and again stores only positively-scored results in Strapi keeping the content database clean and brand-safe without manual moderation.
Two channels monitored. Sentiment scored. Only the good stuff stored.
Stack: n8n · Webhook · Twitter · Sentiment Analysis · Strapi
0
48
AI Agent-Powered Employee Onboarding — Entra ID, Jira & Slack
The previous onboarding flow was automated. This one is intelligent.
Built an n8n workflow that triggers on a "Create User" form submission and routes everything through a central AI Agent powered by Claude (Anthropic), with Postgres providing persistent chat memory across sessions. The agent uses Microsoft Entra ID to look up existing users, creates the new account in Jira Software, then checks whether the hire is a manager or team member — inviting them to the appropriate Slack channel if they're a manager, or updating their Slack profile directly if they're not.
The AI layer means the onboarding logic can reason, adapt, and handle edge cases rather than following rigid if/else rules.
Stack: n8n · Anthropic (Claude) · Postgres · Microsoft Entra ID · Jira Software · Slack
2
1
126
Automated Employee Onboarding — Google Workspace, Jira & Slack
Onboarding a new team member means touching at least three different tools. Most companies do it manually every single time. This removes that entirely.
Built an n8n workflow that triggers the moment a "Create User" form is submitted, instantly creates the new user in Google Workspace, then splits into two parallel paths checking whether the new hire is a manager or a regular member and creating the appropriate Jira account with the right permission level, while simultaneously creating their Slack account and updating their profile with the correct details.
New hire form submitted. Google account created. Jira access granted. Slack profile live. All before IT finishes their coffee.
Stack: n8n · Google Workspace · Jira · Slack
0
41
AI Deal Finder — MediaMarkt Offer Scraper & Email Notifier
Finding the best deals manually means checking the site, filtering by category, and hoping you don't miss anything. This does it all the moment someone asks.
Built an n8n automation that triggers when a user completes a form, scrapes the live MediaMarkt offers page using WebUnlocker, extracts the body and title content from the HTML, passes it to OpenAI to generate a categorised list of deals, extracts the individual items from the results, builds a clean HTML email from the data, and delivers it directly to the user's inbox — ending with a results confirmation page.
Fill out the form. Get a personalised deals digest in your email. Done.
Stack: n8n · Bright Data (WebUnlocker) · HTML Extractor · OpenAI · Email
0
37
AI-Powered Leasing CRM & Lead Nurture System — GoHighLevel
Most leasing businesses lose leads not because the interest wasn't there, but because the follow-up was too slow or too generic. This system fixes both.
Built a full leasing automation stack spanning GoHighLevel workflows and Make.com (http://Make.com). On the GHL side, a contact tag triggers the workflow, fires an internal notification to the team, then routes into a condition block that segments each lead by temperature cold, warm, or hot creating or updating the opportunity in the pipeline accordingly. On the Make.com (http://Make.com) side, a webhook captures inbound leasing data, searches Google Sheets across multiple data sources, aggregates the results, transforms them to JSON, runs them through OpenAI to generate a context-aware response, and returns it via webhook response in real time powering the AI layer behind the bot.
Tag applied. Lead scored. Opportunity created. AI responds. All automatic.
Stack: GoHighLevel · Make.com (http://Make.com) · Webhooks · OpenAI · Google Sheets · JSON · Array Aggregator
0
30
AI-Powered Leasing Automation System — GoHighLevel & Make.com (http://Make.com)
Managing leasing enquiries manually means slow responses, outdated contact records, and deals that go cold. This system keeps everything moving automatically.
Built a four-scenario Make.com (http://Make.com) automation suite for a leasing business, covering the full contact and call workflow. Inbound webhook data gets processed through OpenAI to extract and structure leasing details, then the contact is searched, retrieved, and updated in GoHighLevel with the latest information. A dedicated leasing workflow handles the base contact update flow without the AI layer for simpler triggers. A Google Sheets integration runs parallel lookups across two data sources and returns a webhook response for real-time data retrieval. And a leasing bot call scenario bridges incoming call events via HTTP directly into GoHighLevel keeping the CRM in sync the moment a prospect picks up the phone.
One system. Every leasing touchpoint handled.
Stack: Webhooks · Make.com (http://Make.com) · OpenAI · GoHighLevel · Google Sheets · HTTP
0
30
Microsoft Teams AI Agent with Data Store Memory
Most chatbots forget everything the moment a conversation ends. This one remembers.
Built an advanced Make.com (http://Make.com) AI agent for Microsoft Teams that watches for new channel messages, sets the relevant context variables, retrieves the user's conversation history from a Data Store, parses the JSON payload, prepares the full context, then runs it through a Make AI Agent — delivering a reply back to the Teams channel thread that's informed by everything said before.
The result is a Teams-native AI assistant that holds context across conversations, giving responses that actually feel intelligent rather than starting from scratch every time.
Stack: Microsoft Teams · Make.com (http://Make.com) · Make AI Agents · Data Store · JSON · Tools
0
31
AI-Powered Call Summary & CRM Logger — End of Call
Every sales or support call contains valuable information. Most of it gets lost the moment the call ends.
Built a Make.com (http://Make.com) automation that triggers at the end of a call via webhook, passes the call data through OpenAI to generate a structured summary and extract key details, then searches Google Sheets for the existing contact record and updates the row with the AI-generated notes keeping every call logged, summarised, and searchable without anyone typing a single word.
Call ends. AI summarises. CRM updated. Nothing forgotten.
Stack: Webhooks · Make.com (http://Make.com) · OpenAI · Google Sheets
0
35
AI Chatbot Build — Nova Vision (Hair & Beauty)
Every salon gets the same questions dozens of times a day. Opening hours, booking availability, services, prices. This chatbot handles all of it without the front desk lifting a finger.
Built a fully configured GoHighLevel AI chatbot for Nova Vision, a hair and beauty business based in Calgary. The bot handles inbound customer enquiries around the clock answering FAQs, guiding visitors through available services, and capturing new leads directly into the CRM with tags applied automatically on first contact.
New enquiries get responded to instantly. Leads are logged, tagged, and ready for follow-up. The team focuses on clients in the chair, not messages on the phone.
Stack: GoHighLevel · AI Chatbot · CRM Automation
0
31
Microsoft Teams AI Agent — Instant Intelligent Replies
Your team asks questions in Teams all day. This makes sure every message gets a smart, instant response without anyone having to stop what they're doing.
Built a Make.com (http://Make.com) workflow that watches a Microsoft Teams channel for new messages, passes each one to a Make AI Agent to process and generate a contextual reply, then posts the response directly back to the same channel thread keeping the conversation flowing naturally.
Message in. AI thinks. Answer posted. All inside Teams.
Stack: Microsoft Teams · Make.com (http://Make.com) · Make AI Agents
0
33
Google Maps Web Scraper → Google Sheets Lead Pipeline
Finding business leads manually from Google Maps is slow, repetitive, and doesn't scale. This automates the entire extraction process.
Built a Make.com (http://Make.com) workflow that hits the Google Maps HTTP endpoint, uses an advanced text parser to extract business data from the response, aggregates the results into a clean array, then loops through each entry with a repeater making individual HTTP requests per listing and routing the final structured data straight into Google Sheets, with unresolvable entries gracefully ignored.
Search a location. Get a populated spreadsheet of leads. No manual copy-paste.
Stack: HTTP · Make.com (http://Make.com) · Text Parser · Array Aggregator · Repeater · Google Sheets
0
26
Auto Job Number Generator — Monday.com (http://Monday.com)
Manually assigning job numbers is the kind of small task that creates big headaches when someone forgets or duplicates one.
Built a Make.com (http://Make.com) automation that watches a Monday.com (http://Monday.com) board for new items, routes through a logic tree to search existing board items by column values, retrieves the relevant user and item data, then calculates and sets the next sequential job number automatically with array aggregation and variable-setting handling edge cases cleanly across multiple board conditions.
New job added. Number assigned. No duplicates. No manual work.
Stack: Monday.com (http://Monday.com) · Make.com (http://Make.com) · Tools · Router · Array Aggregator
0
30
Slack → Time Doctor Task & Project Automation
When your team calls out work in Slack, it shouldn't require someone to manually create tasks in your time tracking tool.
Built a Make.com (http://Make.com) integration that watches Slack public channels for messages, pulls the relevant projects from Time Doctor, parses the message pattern to determine the right action, then routes accordingly — either creating a task directly on an existing project, or creating a new project first and then adding the task underneath it. Unmatched messages are gracefully ignored without breaking the flow.
Mention it in Slack. It's in Time Doctor. Tracked and ready.
Stack: Slack · Make.com (http://Make.com) · Time Doctor · Text Parser · Router
0
30
AI-Powered Tripletex Accounting Automation
Accounting data entry is one of the most time-consuming and error-prone tasks in any business. This eliminates it entirely.
Built a complex Make.com (http://Make.com) workflow triggered by a webhook that parses incoming JSON data, runs it through OpenAI to extract and structure the relevant financial details, then splits into two paths. The main track pulls pricing data from Google Sheets, processes it through multiple variable-setting steps, and routes transactions into Tripletex — creating and updating records across four price categories with full logging via the Tripletex log module. A secondary path handles anomalies or unmatched entries, routing a summary email through Gmail and logging the result to Google Sheets for manual review.
Smart extraction. Automated bookkeeping. Nothing falls through without a paper trail.
Stack: Webhooks · Make.com (http://Make.com) · JSON · OpenAI · Google Sheets · Tripletex · Gmail · Router
1
37
AI Masterclass Registration → Email & Calendar Automation
When someone signs up for your masterclass, the onboarding experience starts immediately — not whenever you get around to it.
Built a Make.com (http://Make.com) workflow that captures registrations via webhook, logs each signup to Google Sheets, adds the subscriber to Flodesk and places them in the right segment for targeted email sequences, then searches Google Calendar for the event and updates it to reflect the new attendee — all in one seamless flow.
Sign up. Welcome email triggered. Segment assigned. Calendar updated. Done before they close the tab.
Stack: Webhooks · Make.com (http://Make.com) · Google Sheets · Flodesk · Google Calendar
1
34
Telegram & Facebook Messenger Multi-Channel Bot Integration
Running customer conversations across Telegram and Facebook Messenger separately is a coordination nightmare. This unifies them into one intelligent automation.
Built a complex Make.com (http://Make.com) bot integration that listens across both Telegram and Facebook Messenger simultaneously. Incoming messages are routed through a decision tree that handles multiple conversation paths — each branch delivering the right Messenger or Telegram response based on context, with resume steps controlling flow pacing throughout. A separate Telegram router handles a parallel track for a distinct use case, and an OpenAI layer sits underneath powering intelligent, context-aware replies across both channels.
One brain. Two channels. Every message handled.
Stack: Telegram Bot · Facebook Messenger · Make.com (http://Make.com) · Router · OpenAI
1
35
End-to-End UGC Creator Management System — Slack & Google Sheets
Managing UGC creators manually tracking applications, approvals, and rejections gets messy fast. This system handles the entire pipeline automatically.
Built two connected Make.com (http://Make.com) automations for a full UGC workflow. When a creator submits an application form, a webhook captures the data, structures it through variable-setting steps, and posts a formatted notification directly to the team's Slack channel for review. From there, when a team member reacts to the Slack message, the second automation fires — detecting the reaction type, parsing the pattern, and routing accordingly. A checkmark approval searches the Google Sheets roster and updates the creator's status. An X rejection does the same, marking them as declined. Both paths keep the sheet clean and current without anyone touching it manually.
Apply. Review in Slack. One emoji. Done.
Stack: Webhooks · Make.com (http://Make.com) · Tools · Slack · Text Parser · Google Sheets
1
30
Notion Creative Concept → Frame.io (http://Frame.io) Folder & Asset Pipeline
Creative projects stall when the setup work falls on a human. This removes that bottleneck entirely.
Built a Make.com (http://Make.com) automation that watches a Notion database for new creative concepts, pulls the full item details, then checks Frame.io (http://Frame.io) for existing projects before creating a new asset folder automatically. Once the asset is created, the Notion record gets updated to reflect the live Frame.io (http://Frame.io) link — keeping your project tracker and your video workspace perfectly in sync from day one.
Brief added to Notion. Folder live in Frame.io (http://Frame.io). Record updated. Ready to create.
Stack: Notion · Make.com (http://Make.com) · Frame.io (http://Frame.io)
1
29
Internal Ops Automation Suite — Gmail, Slack & Notion
Most teams leak time in the same three places: emails that don't reach the right person, leads that get logged late, and applicants that fall through the cracks. This suite closes all three gaps at once.
Built three connected Make.com (http://Make.com) automations for a single client's internal ops stack. New Gmail messages get instantly pushed to the relevant Slack channel with controlled pacing so nothing gets buried. Leads coming in outside the main funnel are caught via webhook, enriched through Relevance AI, logged in Airtable, privately flagged on Slack, and segmented in ActiveCampaign fully hands-free. And when UGC creators apply through Slack, their data gets parsed, matched against existing Notion records, and either created or updated, with the team notified at every step.
Three workflows. One cohesive system. Zero manual handling across email, leads, and creator ops.
Stack: Gmail · Webhooks · Make.com (http://Make.com) · Relevance AI · Airtable · Slack · ActiveCampaign · Notion · HTTP · JSON
1
33
Automated End-of-Day Team Check-In via Slack
Most teams end the day without a structured wind-down. Blockers go unspoken. Progress goes unlogged. This fixes that.
Built a Make.com (http://Make.com) automation that fires every day at 4:30 PM, sets the relevant variables, then routes tailored end-of-day questions to three separate Slack channels simultaneously each getting the right prompt for their team or role.
No manager needs to remember to ask. No one gets left out. The questions show up like clockwork, every single day.
Stack: Make.com (http://Make.com) · Tools · Router · Slack
1
29
HARO Multi-Agent Response System → Airtable
Responding to HARO queries manually is a full-time job. This system handles it like a team of specialists working in parallel.
Built a Make.com (http://Make.com) automation that watches Airtable for new HARO opportunities, routes each one through a router based on the query type, then assigns a dedicated Relevance AI agent to craft a tailored pitch for each category. Every agent response gets upserted back into Airtable automatically organised, tracked, and ready to send.
Four query types. Four AI agents. One automated pipeline that keeps your PR outreach running around the clock.
Stack: Airtable · Make.com (http://Make.com) · Relevance AI · Router
1
26
Ticket Tailor → Full Attendee Marketing Pipeline
Selling a ticket is just the beginning. What happens next determines whether that attendee becomes a loyal fan or a one-time buyer.
Built a Make.com (http://Make.com) workflow that watches Ticket Tailor for new orders and immediately puts every buyer into a full pipeline — team gets notified on Slack, the sale is logged in Google Sheets, a structured record is created in Airtable, and the attendee is added to ActiveCampaign with their list status set correctly for targeted follow-up campaigns.
One ticket purchase. Five systems updated. Your marketing engine starts working the moment someone pays.
Stack: Ticket Tailor · Make.com (http://Make.com) · Slack · Google Sheets · Airtable · ActiveCampaign
1
27
AI-Qualified Website Lead → CRM & Outreach Pipeline
Not every lead deserves the same response. This system figures that out automatically.
Built a Make.com (http://Make.com) workflow that catches inbound website leads via webhook, runs them through a spam filter, then passes clean submissions into a Relevance AI agent which qualifies the lead and executes the right action. From there, a router splits the flow: genuine leads get logged in Airtable, added to ActiveCampaign with their list status updated, and the team gets pinged on Slack. Low-quality or flagged submissions get routed to a separate Slack alert so nothing falls through the cracks.
Real leads, actioned instantly. Junk, filtered silently. Your team only sees what matters.
Stack: Webhooks · Make.com (http://Make.com) · Relevance AI · Airtable · Slack · ActiveCampaign
1
41
Jotform → Instant SMS Lead Notification System
When someone fills out your form, the last thing you want is to find out an hour later.
Built a Make.com (http://Make.com) automation that triggers the moment a Jotform submission comes in logs it instantly to Google Sheets, then fires an SMS via Twilio straight away. A second message follows after a timed delay, giving you a built-in follow-up nudge without any extra effort on your end.
Submission in. Data saved. Two messages sent. All before you've even opened your laptop.
Stack: Jotform · Make.com (http://Make.com) · Google Sheets · Twilio
1
45
Outlook Email Attachments → OneDrive Auto-Save Pipeline
Important files land in your inbox every day. Most people save them manually — one by one.
Built a Make.com (http://Make.com) workflow that watches your Outlook inbox for new messages, lists any attachments, downloads them automatically, and uploads each file straight into OneDrive — organised and stored without you lifting a finger.
It's the kind of thing that only takes a few seconds per email, until it's hundreds of emails. Then it's hours. This flow gives those hours back.
Stack: Microsoft 365 Outlook · Make.com (http://Make.com) · OneDrive
1
45
Ticket Tailor → Xero Automated Invoicing & Accounting Sync
Every ticket sale is also a financial transaction — so why log it twice?
Built a Make.com (http://Make.com) workflow that watches Ticket Tailor for new orders, searches Xero to check if the buyer already exists as a contact, then routes from there. If they're a returning customer, an invoice gets created straight away. If they're new, the automation creates the contact in Xero first — then generates the invoice. Either way, your books stay up to date the moment a ticket sells.
No manual data entry. No accounting lag. Just clean, real-time financial records on autopilot.
Stack: Ticket Tailor · Make.com (http://Make.com) · Xero
1
50
Google Sheets → Scheduled Facebook Page Auto-Poster
Managing a content calendar shouldn't mean logging into Facebook every day.
Built a Make.com (http://Make.com) automation that watches a Google Sheet for new rows, logs the entry for record-keeping, then publishes the post directly to a Facebook Page — with a timed delay built in before cleaning up and removing the post when needed. Everything runs on a schedule, hands-free.
Add a row to your sheet. The post goes live. Done.
Stack: Google Sheets · Make.com (http://Make.com) · Facebook Pages
1
35
AI-Generated T-Shirt Design → Printify Fulfillment Pipeline
What if your store could design and list its own products without you touching a thing?
Built a Make.com (http://Make.com) automation that starts with a prompt pulled from Google Sheets, hands it to DALL-E to generate a custom t-shirt design, refines the concept through an OpenAI completion layer, then uploads the image straight to Printifycreating the product, setting it up, and publishing it, all in one uninterrupted flow.
From a cell in a spreadsheet to a live product ready to sell. No designer. No manual uploads. No back-and-forth.
Stack: Google Sheets · Make.com (http://Make.com) · OpenAI (DALL-E + GPT) · Printify · HTTP
1
32
Claude responded: Ticket Tailor → Full Event Attendee Pipeline
Ticket Tailor → Full Event Attendee Pipeline
Every ticket sold should do more than just confirm a seat — it should kick off your entire attendee workflow automatically.
Built a Make.com (http://Make.com) integration that watches Ticket Tailor for new orders in real time. The moment someone buys a ticket, their details flow straight into Google Sheets for records, Airtable for structured data management, and ActiveCampaign to create or update the contact and drop them into the right email list — all while pinging your team on Slack so nobody's out of the loop.
One ticket sale. Six things handled. Zero manual work.
Stack: Ticket Tailor · Make.com (http://Make.com) · Slack · Google Sheets · Airtable · ActiveCampaign
1
39
Google Forms → Multi-Channel Lead Routing Automation
Someone fills out a form and everything that needs to happen, happens automatically.
Built a Make.com (http://Make.com) workflow that watches for new Google Forms submissions and instantly routes each response through a smart decision tree. Depending on the lead type, it either books a Calendly meeting and fires a confirmation via Outlook, notifies the right team channel on Slack, or logs the entry straight into Google Sheets for tracking.
No copy-pasting. No missed follow-ups. Just the right action, for the right lead, the moment they raise their hand.
Stack: Google Forms · Make.com (http://Make.com) · Calendly · Microsoft 365 (Outlook) · Slack · Google Sheets
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Built a Make.com (http://Make.com) automation that connects a Vapi AI voice agent directly into GoHighLevel handling real-time call data, routing logic, and CRM updates without manual intervention.
The flow captures inbound webhook events from Vapi, processes them through an OpenAI completion layer, hits a dynamic HTTP endpoint, then routes outcomes through a custom decision tree triggering either a callback webhook or a variable-setting + GHL update path depending on the call result.
Stack: Vapi · Make.com (http://Make.com) · OpenAI · GoHighLevel · Custom Webhooks
Clean, reliable, and built to scale across high call volumes.
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