Every DNS query your devices make tells a story. When your home network sends those queries to Google (8.8.8.8), Cloudflare (1.1.1.1), or your ISP’s resolver, that provider builds a record of every domain every device visits. Your phone, your laptop, your smart TV, your thermostat: all of it. You can fix this. Run Pi-hole as a DNS sinkhole to block ads and trackers across the whole network. Then pair it with Unbound , a local recursive resolver, so your queries go straight to the DNS root servers instead of a third-party middleman.
Raspberry-Pi
Home Assistant AI Voice With a Local LLM: What Works in 2026
Home Assistant AI voice control with a local LLM as the brain is practical in 2026. No Amazon, no Google, no cloud. The Assist pipeline already handles the plumbing: wake word, speech-to-text, a conversation agent, and text-to-speech, all on your own hardware. Setting that up is the easy part. The hard part is picking a local model that calls Home Assistant’s tools without guessing. The loop also has to be fast, or it will never feel like a real assistant. This guide covers both: the 2026 stack, the models the community actually trusts, and the latency budget that makes it work.
DIY NAS Comparison: Raspberry Pi 5 vs. Intel N100
The Intel N100 is the better DIY NAS choice in 2026 if you plan to run Plex or Jellyfin, want ZFS, or need more than two drives. The Raspberry Pi 5 still wins for low-power, always-on file storage where idle power cost is what counts. The right pick depends almost entirely on what you want the box to do.
Why Build a DIY NAS in 2026? The Case Against Synology
Synology and QNAP have spent the last few years getting harder to recommend. Newer Synology units reject non-Synology drives. Those rejected drives work just like the approved ones. The DSM operating system has changed too. It used to be a handy management layer. Now it’s a closed platform that pushes cloud services you didn’t ask for. A Synology DS423+ costs about $500 with no drives. A DIY N100 build with four SATA ports runs under $200.
Why Small Language Models (SLMs) are Better for Edge Devices
Small Language Models, sub-4B parameter models built to run on local hardware, now handle most of the edge AI work that used to need the cloud. Phi-4 , Gemma 3 , and Llama 3.2-1B run offline on Raspberry Pi boards, phones, and industrial PLCs. The economics, latency, and privacy story all point the same way: edge first.
What Counts as a Small Language Model
In 2023, “small” meant under 13B parameters. Today, three tiers matter for edge work.
Build a DIY Smart Mirror with Home Assistant Integration
A DIY smart mirror uses a two-way mirror panel, a monitor, and a Raspberry Pi running MagicMirror² . Behind the glass, the monitor shows widgets that seem to float in the reflection. Link it to Home Assistant and it turns from a novelty into a useful home panel. You see which lights are on, if the front door is locked, and your next calendar event.
Materials and Hardware Shopping List
Getting the parts right before you cut or mount saves a lot of pain. Two pieces shape the final build: the mirror and the monitor.
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