Guides, comparisons, and insights about AI agents, smart home automation, and the future of personal AI.
AI agents reason, plan, and take real actions — not just answer questions. Here's what makes them fundamentally different from chatbots and voice assistants.
A detailed comparison of the three leading smart displays in 2026. We compare AI capabilities, privacy, price, smart home integration, and openness.
A step-by-step guide to building an AI-powered smart home from scratch. Covers devices, protocols, voice control, automation, and privacy.
Where your AI processes data matters. We explain the difference between on-device and cloud AI processing, and what each means for your personal data.
The definitive guide to AI-powered smart displays in 2026. We compare features, prices, AI capabilities, and smart home integration across all major options.
AI agents don't just generate text — they use tools like APIs, plugins, and databases to take real actions. Here's how tool use works and why it matters.
Multi-agent systems use specialized AI agents that collaborate on complex tasks. Learn how orchestration, sub-agents, and agent coordination actually work.
A timeline of AI assistants from Siri's 2011 launch to today's autonomous AI agents. How we went from voice commands to multi-step reasoning in 15 years.
AI agents could replace many of the apps on your phone by handling tasks through conversation instead of dedicated interfaces. Here's what's realistic and what's hype.
AI agents need powerful LLMs to reason and use tools. We compare GPT-4, Claude, and Gemini across capabilities, pricing, and suitability for agent use cases.
Open source AI agents let you inspect, audit, and modify the software that runs your AI assistant. Here's why that matters for privacy, trust, and control.
A clear comparison of the four main smart home protocols in 2026 -- Matter, Zigbee, Z-Wave, and WiFi -- covering range, reliability, device support, and which to choose for your setup.
The best smart home devices for AI-powered automation in 2026, organized by category. We cover what makes a device AI-friendly and which ones work best with modern AI agents.
Smart home devices collect more data than most people realize. Here's exactly what they capture, who sees it, and practical steps to protect your privacy.
A step-by-step guide to setting up voice control in your smart home, covering platform choices, device placement, multi-room strategies, and AI-powered natural language automation.
A detailed comparison of the three biggest smart home platforms in 2026. We compare automation power, privacy, device support, voice control, and total cost of ownership.
Ten practical smart home automations that save time, energy, and frustration. Each one includes the devices needed, setup instructions, and tips for making it reliable.
You do not need to spend a fortune to build a smart home. Here are the best devices under $50 that deliver real automation, organized by category with honest pros and cons.
Renters can build a full smart home without drilling holes, cutting wires, or upsetting landlords. Here are the best renter-friendly devices and strategies that move with you.
A fair side-by-side comparison of the Jinn HoloBox and HooRii ClawStage — two open-source AI companion devices with very different philosophies on form factor, display, and smart home integration.
Smart displays cost $90 to $700. Are they worth it, or should you stick with your phone? An honest breakdown of who benefits most, who doesn't, and what to expect.
Looking beyond the Echo Show? Here are five smart displays that offer better privacy, bigger screens, deeper AI, or family features Amazon cannot match.
Should you buy a dedicated smart display or repurpose a tablet as a smart home hub? A practical comparison of cost, usability, smart home integration, and real-world trade-offs.
Smart speakers are cheaper and more popular, but smart displays add a screen. Is the visual upgrade worth the extra cost? A data-driven comparison for 2026.
How we chose the RK3566 SoC, 5-inch IPS display, and 4GB RAM for the Jinn HoloBox — and the trade-offs behind every component decision.
Android dominates smart displays, but we built the Jinn HoloBox on Armbian (Debian-based Linux). Here's why — and what it cost us.
What we learned about running wake word detection, LLM inference, and WebGL rendering on a quad-core Cortex-A55 with 0.8 TOPS NPU.
Inside the Jinn HoloBox wake word pipeline: why we chose openWakeWord, how we tuned for <5% false reject rates, and what it takes to listen 24/7 on ARM.
The real timeline, mistakes, and lessons from taking the Jinn HoloBox from a dev board on a desk to a $299 pre-order product.