The best way to get quality results from your AI prompts is to show the model exactly what you want. If you are using images or documents as examples, the AI can use them as training data to understand your specific needs. It can extract information regarding the style and colors you prefer to create something that is unique to you, while remaining within the realm of what you are looking for. I did this recently with a few projects: 1. I provided a few reference images to establish the visual direction. 2. I uploaded one PDF file that represented the full structure of what I wanted to generate. 3. I used a simple prompt: "I have given you a few files inside the folder. Please analyze them, as this is what I want." After only a few back-and-forth adjustments, I had perfectly formatted documents. While there were initially a few misalignments or cut-offs, that is common, and we corrected them quickly. Having used AI for about two months now, I finally understand that the key to a good prompt is providing high-quality training data at the start. When we first begin learning AI, we usually just ask simple questions. However, if you want to get professional work done well, you have to provide solid reference material. I have now created a full design system so I can generate these documents on repeat. They maintain a consistent look because I use a system that includes: (a) A product catalog (b) Brand guidelines (c) Specific reference images I am going to continue adding to these reference images to keep generating high-quality results. You must take the time to plan your prompts properly, as that is about 80% of the work. If you don't plan, you are basically wasting time generating "AI slop." Stop wasting your time on low-quality outputs. Start Planning, and you will get your results perfect.

MCP stands for Model Context Protocol. Don't worry about the jargon. All you need to know is what it does: it's a standard way for AI to connect to outside tools and data. Think of it like a USB standard. Before USB existed, every device had its own special plug. USB created one universal connector that works everywhere. MCP does the same thing — it's one universal way to plug AI into any tool. Get More Infomation Here

Actionable notifications let you add buttons to a notification. When tapped, each button sends an event to Home Assistant, which you can use in an automation to trigger a wide range of actions. These notifications work on both iOS and Android. Practical examples: - Motion alert while you're away or asleep – Get a notification when motion is detected, with a "Sound Alarm" button that triggers your burglar alarm when tapped. - Doorbell rings – Receive a notification with a live camera feed of the visitor, plus buttons to lock or unlock your front door. - Light left on – Get a notification when you leave the house and you left the light on. Attached is a actionable notification that you can use as a base line or a template with notes next to the lines you should change