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35
16.3
Артём Бойко @ArtemBoiko

Founder of DataDrivenConstruction

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Automate Your Daily Tasks in 10 Minutes: A Practical Guide to n8n for Beginners

Until 2022, I thought automation was only large companies. But in 2022 I discovered n8n, and everything changed. Now, I automate routine work, reports, and even whole business processes—sometimes in under 10 minutes. Here’s how it works, what surprised me, and what you can try today.

In 2022, I deployed n8n on a separate VPS to demonstrate the ability to process design data from Revit and show that it's like working in Dynamo or Grasshopper, but for data managers and automation pipelines outside of Autodesk products.

But it was hard to get experts interested in 2022 - at the time, n8n was still in its early stages: there were no Python nodes, no LLM integration, and most workflows took weeks to create, relying on scattered blog posts and incomplete examples on forums.

Fast forward to 2025, and everything has changed.

Today, thanks to native LLM nodes, you can simply ask ChatGPT, Claude, or any advanced AI assistant to generate automation n8n pipelines — whether for validating parameters or producing custom QTO tables — and get ready-to-run workflows in seconds.

Why Bother with Automation?

Let’s be honest: most “office work” is repetitive. Copy-paste, renaming files, sending the same email—again and again. It’s boring and, more importantly, wastes hours every week. For me, automation started as an experiment, but quickly became a must-have. Once you automate your first task, you won’t want to go back.

What is n8n and Why Use It?

n8n (pronounced “n-eight-n”) is a free, open-source tool for automating anything—emails, file operations, notifications, even AI tasks. The best part? No coding needed. You just drag, drop, connect blocks, and press play. It runs on Windows, Mac, or Linux. I set up my first workflow in under 15 minutes.

How I Got Started (And You Can Too)

  1. Install Node.js (from the official site, takes 2 minutes)

  2. Install n8n with one command

  3. Open n8n in your browser (local or online)

  4. Start building: drag blocks (“nodes”) to connect apps, add logic, or even call ChatGPT to write emails for you!

Video Tutorial:
Automate Your CAD-BIM Workflows Local with n8n + ChatGPT & Claude | No Code, No Plugins, No Internet

My first workflow? Automating project reports — collecting data, formatting it, and sending it as an email, all triggered by a single button.

Video Tutorial:
Automate Your CAD-BIM Workflows Local with n8n + ChatGPT & Claude | No Code, No Plugins, No Internet

Where the Magic Happens: AI & Templates

The next “wow moment” for me was connecting n8n to AI tools like Claude and ChatGPT. Need to generate text, analyze data, summarize, or respond to messages? Just add a ChatGPT node—no API coding, just your prompt.

Short on time? n8n has a big library of ready-made templates. You can find workflows for almost any need: document processing, cloud backups, database syncs, even advanced stuff like BIM/CAD data processing. Grab a template, tweak it for your needs, done.

Lessons Learned and Tips

  • Don’t overthink: Start simple. Even automating one small task (like downloading attachments from email) pays off.

  • Debug as you go: n8n makes it easy to see where something breaks—just follow the logs, tweak, and re-run.

  • Experiment: The community is active and shares real-life examples. Some of my best workflows came from GitHub repos or the official n8n library.

  • Combine tools: I use n8n with spreadsheets, databases, cloud storage, and AI. Everything connects!

Why You Should Try It

After a few weeks, I realized how much time I was saving. Reports that took 30 minutes now take 2. Integrations that seemed impossible (like sending BIM data to a spreadsheet, then to Teams) were suddenly simple.

Automation isn’t just for techies anymore. With tools like n8n, anyone can build and run real workflows—saving hours, reducing errors, and focusing on what really matters.

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RU BIM Cluster 2024 | Битва за данные и применение LLM и ChatGPT в строительстве. Перевод с GER

Конференция BIM Cluster BW 2024. Штутгарт, 10.07.2024.

🎫 Автоматический перевод записи оригинальной презентации с немецкого языка: "BIM Culster BW 2024: Der Kampf um Daten in der Bauwirtschaft | Anwendung von LLM und ChatGPT im Bau" -   

 • BIM Culster BW 2024: Der Kampf um Dat...  

📖 Книга DataDrivenConstruction - Навигация в эпоху данных в строительной отрасли:
https://habr.com/ru/articles/801065/

В этой презентации мы рассмотрим историю и развитие BIM-технологий и, в частности, появление новых инструментов, которые вносят кардинальные изменения в то, как строительные и проектировочные компании работают с данными и процессами. Мы обсудим, почему использование открытых данных и SDK для обратного проектирования CAD-форматов (BIM) стало неотъемлемым трендом, что позволяет крупным строительным и инжиниринговым фирмам извлекать данные из проприетарных форматов САПР. Также мы обсудим интеграцию структурированных данных и инструментов с открытым кодом в бизнес-процессы и упрощение этих процессов за счет использования современных технологий LLM и ChatGPT.

Это видео предназначено для всех, кто интересуется будущим строительной и проектировачной индустрии и пониманием того, как открытые данные и передовые технологии вроде LLM и ChatGPT могут революционизировать наши методы работы.

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🤖 The future of CAD (BIM) data processing in Construction is already here!

Instead of working with complex closed or parametric data (the quality of which we have to check in special BIM tools), in the future we work with open structured data, which is an ideal source for RAG, LLM, ChatGPT. To work with LLM models and ChatGPT you need properly prepared data.

Dataframe data obtained from various CAD (BIM) formats is the ideal fuel for modern tools. Pandas is ideal for LLMs due to its robust data processing, efficient indexing, and flexible formatting. It cleans, tokenizes, and normalizes data, supports advanced data retrieval, and structures data in LLM-compatible formats.

Examples of requests for using structured CAD (BIM) data in ChatGPT:

🤖Group the data in Dataframe by "Type Name" while summarizing 
the "Volume" parameter - you can show the result in any kind of graphs and documents
🤖 “Check the values in the volume parameter for all items in "Category"
 - "OST_Walls" and output the list of IDs with null values” - native IDs 
can be displayed later in Revit
🤖 “Check if "Category" "OST_Doors" has parameters that are responsible
for width and length and output element types that do not have such parameters”

⚡️ Instead of using a whole zoo of BIM tools, we now validate and process data directly in ChatGPT.

After getting the results in ChatGPT, we copy the resulting Python code into Pipeline in any Python IDE

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🏢 Serial Construction + 🤖 Robotisation + 🧊 Open Data + 🧊 Open Tools + 🤖 LLM + ⚡️ Pipelines is the inevitable future of the construction industry!

A multiple increase in work productivity in the construction industry will come through the automation of data processing, which will significantly impact the productivity of office processes and inevitably affect the efficiency of the construction site itself.

👨‍🏫 At this week's BIM Cluster BW Summit, it was possible to break through the wall of convoluted BIM ideology that CAD providers have been building for decades.

A mix of intricate stories, hard-to-access facts, insights, and figures on the equity of large companies — all this helped in a short time (30 minutes) to realize the necessity for change.

🌠 Whether specialists or entire concerns want it or not, but data in construction will be open, and tools for managing this data in construction will be open. The use of open data and open tools is the first key to accelerating decision-making, which today in some processes can take days and weeks! And, most likely, none of this will have anything to do with the topic of BIM.

🔗🚀 Structured data (RAG-ready) and the simplest models, starting from ChatGPT2, will allow, using simple logic and text sentences, to build automation in obtaining the necessary data. Learn more about using structured data and examples of prompts for ChatGPT:


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In this insightful interview, Avetik Kagramanian talks to Artem Boyko, a data scientist in the construction industry. We explore the impact of open data and open tools on the construction industry.

03:25 - When we receive open data, we ourselves decide what tools to use this data in
04:08 - Converters' clients and popular data use cases in construction
05:41 - Data quality and verification process
06:27 - Usage formats and the collection of big data
07:03 - Who are the main competitors and the emergence of Pipelines in the construction industry
08:08 - Does working with data in construction differ from other industries?
10:27 - Explanation of the concept of using Pipelines in construction processes
12:01 - Creating an automatic Pipeline and using ChatGPT
13:52 - The future of data processes and analytics in construction
15:53 - Global trends in data management in the construction
17:42 - Democratization and data decentralization platforms
19:33 - How 30,000 subscribers on LinkedIn came to be
20:40 - Communicating with strategic directors of CAD vendors and gaining insights on the BOM-BIM story
21:37 - Appearance of the History of BIM map
23:39 - What were the main benefits of creating articles and writing the history of BIM
24:34 - Why not support buildingSMART
27:00 - Lobbyism in the creation of a world classifier

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CAD (BIM) Revit и IFC в Unreal Engine, Unity, Oculus — визуализация, рендеринг, метаверсии и игровой дизайн

? Стандартный рендеринг в CAD (BIM) программах часто не дотягивает до качества визуализации, но игровые движки, такие как Unreal Engine и Unity, произвели революцию в архитектурной и дизайнерской визуализации. Эти движки предлагают быстрый рендеринг и интуитивно понятные настройки света, материалов и геометрии, которые значительно улучшают процесс визуализации. Теперь клиенты могут изучать виртуальные модели зданий, взаимодействуя с такими элементами, как освещение и мебель, в режиме реального времени, что улучшает их понимание и вовлеченность. Unreal Engine позволяет проводить метаверсии, превращая 3D-виртуальные миры в крупные социальные центры.

? Unreal Engine позволяет создавать интерактивные приложения 3D, дополненной (AR) и виртуальной (VR) реальности из 3D CAD (BIM) моделей.
? Визуализацию или симуляцию движения автомобилей и людей можно настроить буквально в несколько кликов. Погода и время также легко настраиваются
? Бесплатные движки позволяют подключать алгоритмы искусственного интеллекта, которые наглядно позволяют воспроизводить симуляции в реальных сценах, а не на бумаге
? Используя Unity и инструментарий ML-Agents, ты можешь создавать ИИ-среды, которые будут физически, визуально и когнитивно насыщенными
? С помощью Unity Machine Learning Agents больше не нужно"кодировать" эмерджентное поведение, а можно научить интеллектуальных агентов "учиться",

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