Most users limit the use of artificial intelligence to simple queries and internet research. However, the true potential today lies in implementing AI for smart home to delegate the most boring and technical tasks of our own equipment.
In this article, we will see how tools based on advanced language models can manage and administer your entire local environment. We are talking about taking efficient control of your computer, the router, the NAS server, and, of course, your home automation system.
It is by no means about giving total control to the machine so it makes decisions on its own without supervision. We establish the exact rules, and the artificial intelligence takes care of executing the heavy lifting perfectly.
AI for smart home tools: Development environments
To execute these actions, we need to install a suitable program or workspace on our desktop computer. There are mainly two recommended tools that will facilitate the integration of artificial intelligence into your daily routine.
- Google-based environments: There are integrated solutions with Gemini that work natively and smoothly. If you already have a Google One account, you will have a higher token quota to use advanced models like Gemini 3.1 Pro.
- Visual Studio Code: It is my preferred option and the one I have been using for years in my personal workflow. It is robust software that is fully compatible with the official OpenAI Codex extension.
The installation of both tools is identical to any standard 64-bit Windows program. Once logged in, we can open an empty folder and start interacting in natural language so the assistant can program or audit.
Practical and real use cases with no nonsense
Theory is great, but at Tecnoyfoto, we like real utility and tangible everyday results. Here are direct examples of what you can achieve in a matter of seconds using well-structured commands:
- Complete PC audit: You can ask Gemini to analyze your hardware, operating system, and memory usage to detect potential bottlenecks.
- Massive file organization: AI is capable of sorting a chaotic downloads folder with over 600 files in just 13 seconds. It automatically classifies PDFs, images, installers, and compressed files into numbered folders.
- Local network management: If we grant administrator access, the AI helps us securely audit and configure routers (such as ASUS models) and NAS servers.
Creation of custom desktop PC applications
Another strong point is the development of complete desktop applications, avoiding total dependence on third-party websites. Ad-filled websites with daily limits that drastically lower the quality of your files are no longer necessary in your workflow.
I have created a full-fledged PC app on my computer to download YouTube podcasts directly in high-quality MP3 format. I just open the program, paste the link, convert to MP3, and transfer the audio to my mobile phone to listen comfortably without ads.
I also designed another essential executable application for my websites: a local image converter from JPG and PNG to WebP format. This PC app includes presets for YouTube thumbnails, article interiors, and vertical formats, maintaining maximum quality. All this was programmed by chatting naturally with Codex, asking for the installation file at the end.
Prices, recommended hardware, and discounts
One of the great advantages of this work ecosystem is that it does not require a latest-generation computer. The intensive processing is done by the artificial intelligence, so an older PC works perfectly for sending commands.
- Free software: Both Visual Studio Code and the basic quotas for AI extensions have accessible options.
- Local network investment: For network management or home automation, always prioritize investing in reliable routers and devices instead of expensive computers.
- Savings on smart home hardware: If you are going to start automating your home, remember to apply the 10% discount coupon: TECNOYFOTO when buying Sonoff brand devices.
Next step: Automating Home Assistant
As you may have noticed, controlling downloads, servers, and computers is just the tip of the technological iceberg. The ultimate goal of all this infrastructure is to integrate it directly into our main home automation control system.
If you want to prepare your system for these new AI implementations, make sure you are up to date by checking out our guide on Home Assistant features and improvements, and if you have issues with old code, take a look at our tutorial on how to fix legacy template entities deprecated.
In the next article and video, we will dive deep into how to use Codex to program and optimize complex automations directly within Home Assistant.
If you have any idea or specific automation that you would like me to test with AI, leave it in the comments. See you in a few days in a new Tecnoyfoto video.