docs: improve local AI guides content and linking

- Update titles and introductions for better SEO
- Add opinionated guidance section for beginners
- Link DeepSeek guide with general local AI guide
- Fix typos and improve readability

docs/src/pages/post/deepseek-r1-locally.mdx

@@ -1,5 +1,5 @@
 ---
-title: "Beginner's Guide: Run DeepSeek R1 Locally"
+title: "Run DeepSeek R1 locally on your device (Beginner-Friendly Guide)"
 description: "A straightforward guide to running DeepSeek R1 locally for enhanced privacy, regardless of your background."
 tags: DeepSeek, R1, local AI, Jan, GGUF, Qwen, Llama
 categories: guides
@@ -10,11 +10,15 @@ ogImage: assets/run-deepseek-r1-locally-in-jan.jpg
 import { Callout } from 'nextra/components'
 import CTABlog from '@/components/Blog/CTA'
 
-# Beginner's Guide: Run DeepSeek R1 Locally 
+# Run DeepSeek R1 locally on your device (Beginner-Friendly Guide)
 
 ![image](./_assets/run-deepseek-r1-locally-in-jan.jpg)
 
-DeepSeek R1 brings state-of-the-art AI capabilities to your local machine. With optimized versions available for different hardware configurations, you can run this powerful model directly on your laptop or desktop computer. This guide will show you how to run open-source AI models like DeepSeek, Llama, or Mistral locally on your computer, regardless of your background.
+DeepSeek R1 is one of the best open-source models in the market right now, and you can run DeepSeek R1 on your own computer! While the full model needs very powerful hardware, we'll use a smaller version that works great on regular computers.
+
+<Callout type="info">
+New to running AI models locally? Check out our [comprehensive guide on running AI models locally](/post/run-ai-models-locally) first. It covers essential concepts that will help you better understand this DeepSeek R1 guide.
+</Callout>
 
 Why use an optimized version?
 - Efficient performance on standard hardware

docs/src/pages/post/run-ai-models-locally.mdx

@@ -1,5 +1,5 @@
 ---
-title: "How to Run AI Models Locally: A Beginner's Guide"
+title: "How to run AI models locally as a beginner?"
 description: "A straightforward guide to running AI models locally on your computer, regardless of your background."
 tags: AI, local models, Jan, GGUF, privacy, local AI
 categories: guides
@@ -10,9 +10,9 @@ ogImage: assets/jan-local-ai.jpg
 import { Callout } from 'nextra/components'
 import CTABlog from '@/components/Blog/CTA'
 
-# How to Run AI Models Locally: A Beginner's Guide
+# How to run AI models locally as a beginner?
 
-DeepSeek R1 is one of the best open-source models in the market right now, and the best part is that we can run different versions of it on our laptop. This guide will show you how to run open-source AI models like DeepSeek, Llama, or Mistral locally on your computer, regardless of your background.
+Most people think running AI models locally is complicated. It's not. The real complexity lies in believing you need cloud services to use AI. In 2025, anyone can run powerful AI models like DeepSeek, Llama, and Mistral on their own computer. The advantages are significant: complete privacy, no subscription fees, and full control over your AI interactions. This guide will show you how, even if you've never written a line of code.
 
 ## Quick steps:
 1. Download [Jan](https://jan.ai)
@@ -32,7 +32,7 @@ Benefits of running AI locally:
 - **Full control:** Choose which AI models to use
 </Callout>
 
-## How to run AI models locally as a beginner
+## How to run AI models locally as a beginner?
 
 [Jan](https://jan.ai) makes it straightforward to run AI models. Download Jan and you're ready to go - the setup process is streamlined and automated.
 
@@ -43,6 +43,8 @@ What you can do with Jan:
 - Find models that work on your computer
 </Callout>
 
+Before diving deeper, let's be clear: this guide is opinionated. Instead of overwhelming you with every possible option, we'll focus on what actually works for beginners. You'll learn essential local AI terms, and more importantly, get clear recommendations on what to do. No "it depends" answers here - just straightforward guidance based on real experience.
+
 ## Understanding Local AI models
 
 Think of AI models like engines powering applications - some are compact and efficient, while others are more powerful but require more resources. Let's understand two important terms you'll see often: parameters and quantization.