Yevheniia Smahlii Humenko
AI automation, chat bots, make.com, copiwriter.
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30 Seconds That Save Hours: What Proper Automation Looks Like
This video shows the result of a customized contact enrichment script I created on Make.com (http://Make.com). The video is only half a minute long, and it shows how data from an incoming Gmail message is instantly converted into pure JSON and then automatically added as a new row to a Google Sheet.
On the screen, it looks simple and fast. And that's the best compliment for an automation engineer, because the fewer actions the end user sees, the more complex the architecture under the hood.
To ensure this 30-second process runs autonomously and without failures, key technical challenges were addressed:
Fault-tolerant architecture: The script is completely rebuilt using Add a Row modules, eliminating parameter validation errors and ensuring stable appending of data to the end of the database.
Custom Error Handling: Hidden error handlers are configured at the Flow Control level (Ignore module). If a table or third-party service freezes for a second, the automation won't crash—the system will handle the failure automatically in the background.
Data validation: Point mapping of variables is configured (including names, social networks, and phone numbers). The database automatically formats incoming strings as plain text to prevent international phone codes from breaking the table structure.
The result: the client receives a streamlined, fully functional solution, rather than an overloaded system. Complex engineering on the inside—perfect simplicity on the outside.
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A webhook trigger catches every message from your Telegram bot. The Add Row module in Google Sheets records it instantly — date, user ID, username, and text. Two modules, two operations per message, zero polling. The script writes messages from Telegram to a spreadsheet.
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The Illusion of Automation: Why Are We Still Working at Computers? Every time you open your news feed, you see the same things: "AI will replace everyone," "neural networks have revolutionized," "billions of dollars in investments." But if you close the news tab and look at the real desktops around you, the picture changes. Managers still copy data from one tab to another, marketers manually transfer leads from spreadsheets to CRMs, and entrepreneurs are drowning in operating systems.
A strange paradox arises. Technology already allows AI to write code, analyze gigabytes of data, and generate strategies. So why are most of us still using ChatGPT simply as an advanced search engine or a polite email generator? We've fallen into the trap of "manual AI."
Interface Failure: The problem isn't the capabilities of the models, but how we interact with them. A dialog box is the worst interface for business. To get results, a person must come, write a prompt, wait, copy the response, check it, and transfer it somewhere. This isn't automation. It's the addition of another employee who needs constant instructions. Real evolution begins when humans break out of the chain of intermediate actions. Think of the process not as a chat, but as the invisible nervous system of a company.
A client submits a request, a trigger runs a script on Make, and AI, without your intervention, analyzes the client's website, understands their pain points, writes a personalized proposal, and saves the draft in your inbox. All you have to do is click "Send." AI shouldn't be a conversationalist, but the glue between your work tools (CRM, messengers, databases). Role shift: from performer to architect. The most difficult barrier to automation is mental.
We're used to measuring efficiency by hours spent in front of a screen. "I'm busy, I'm sorting through the client database, so I'm working." Automation requires a shift in thinking. You need to stop being an algorithm executor and become its architect. Ask yourself: What basic steps does my day consist of? Where am I simply a copy-paste artist? What business rule determines my next action?
Once you break down the chaos of your routine into clear, logical blocks, it turns out that 80% of your "unique" work can be described by a single flowchart and delegated to a combination of APIs and no-code platforms. What's next? The tools have become accessible. Writing an integration today is no more difficult than assembling a Lego set. The main deficit now is not computing power, but the human ability to critically examine their daily actions and delegate them to code.
Automation isn't about saving money on staff. It's about returning people to their core function: thinking, creating meaning, and making decisions, leaving the mechanical work to machines. If you look at your daily tasks, what action do you repeat most often, feeling like you're wasting time?
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People are still googling "promt hacks 2026."
I stopped six months ago.
I used to believe it was all about wording, too. I'd change the word order. Add "act like an expert." Tweak the generation temperature. The result was a smooth text that didn't catch the eye, didn't sell, and didn't work.
Until I noticed a pattern.
The best answers weren't born when I asked "make it stronger." But when I knew exactly what I didn't want to see.
Promt marketing today isn't linguistics. It's attention surgery. You don't control the model. You cut off its options. The more rigid the context, the more precise the boundaries of the impossible, the sharper the result. Neural networks haven't gotten any dumber. They've simply stopped responding to lazy instructions.
Nowadays, the winner isn't the one who knows more tokens. It's the one who knows how to formulate emptiness.
If your AI is still producing "market average," stop adding. Start cleaning up. A working prompt is always shorter than one that doesn't work.
Save it. Reread it when the next request fades into the background.
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AI Assistant is an intelligent website chatbot designed to automate initial customer interactions and provide 24/7 support. The project addresses the challenge of long response times by offering instant information and seamless site navigation.
Key Facts
24/7 Availability: Continuous operation without breaks or downtime.
Intelligent Processing: Natural language understanding and polite management of user expectations.
Adaptive Design: A compact, non-intrusive UI that complements the website's layout.
Latest Trends
LLM Integration: Utilizing GPT-level technologies for human-like conversational experiences.
Proactive Engagement: Algorithms that offer assistance based on real-time user behavior.
Scalability
The system is designed for growth, allowing for advanced features such as CRM integration, appointment scheduling, or automated price estimation. These advanced modules are available as premium add-ons for an additional fee, depending on the complexity of the implementation.
I will make one project for free for feedback to gain experience.
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This automation workflow integrates Gmail with artificial intelligence via HTTP requests and logs the output into Google Sheets. The system automatically monitors incoming emails, processes their content using AI, and structures the data into a spreadsheet for seamless management and tracking.
Key Facts
Automated Monitoring: A dedicated Gmail module tracks new messages in real-time ("Watch emails").
AI-Powered Analysis: Utilizes HTTP POST requests to OpenAI's API for content analysis, summarization, or response drafting.
Structured Storage: Automatically populates Google Sheets ("Add a Row") with the processed information.
Operational Efficiency: Eliminates manual data entry and human error in lead or inquiry management.
Scalability
The current workflow serves as a foundation. Advanced features, such as automated email replies, CRM integration, or multi-step classification, can be implemented as premium upgrades for an additional fee.
I will make one project for free for feedback to gain experience.
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Telegram Concierge is a lightweight business bot built with Make.com (http://Make.com) to automate customer communication directly in Telegram. It processes messages in real time and stores key interaction data through HTTP integrations.
🔑 Key Facts
Instant Response: real‑time auto‑replies with zero human intervention.
Data Integration: captures leads, orders, or inquiries for easy tracking.
Flexible Logic: Make.com (http://Make.com) scenarios allow customized workflows tailored to business needs.
Support & Sales: acts as a first‑line support agent or automated sales representative.
📈 Scalability
The core version covers automated chats and data logging. Advanced features — Telegram payments, deep database connections, segmented broadcast messaging — are available as premium add‑ons for an additional fee.
💡 I will deliver one project for free to gain feedback and experience.
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