Mykolas Juodis

You don't need to be Google or work at a university to train your own AI model anymore. Small teams can build smart systems that actually work for what they need - you just need the right tools and know-how. This guide walks you through everything from figuring out what problem you're trying to solve all the way to getting your model up and running and keeping it working.

Over the past year, the Model Context Protocol (MCP) has gone from a niche idea to a go-to standard for integrating LLM agents with real-world tools and data. This setup lets agents deliver smarter, context-aware responses and handle complex workflows on their own. In this guide, you'll learn how to set up the Decodo MCP server with tools like Cursor, VS Code, and Claude Desktop and supercharge your web scraping operations.

Building an LLM from scratch in 2026? It's totally doable if you know what you're doing. This guide covers everything – from architecture, training, fine-tuning, and deployment to tips on how to handle the tricky parts. You'll walk away with a clear plan and best practices for building your own high-performing large language model.

MCP has shifted from niche adoption to widespread use, with major platforms like OpenAI, Microsoft, and Google supporting it natively. Public directories now feature thousands of MCP servers from community developers and vendors, covering everything from developer tools to business solutions.

In this guide, you'll learn what MCP is and why it matters for real-world AI agents, which 10 MCP servers are currently most useful, and how to safely choose and combine MCPs for your setup.

Large language models (LLMs) are universal tools that improve text understanding and generation across different tasks. However, they often lack specific industry knowledge. Training a model on your own data is important for adjusting, accurate, and efficient responses. This article will guide you through the training process, best practices, and challenges to help you get started with confidence.

SQLite runs inside every Android and iOS device, Python's standard library, and most embedded systems on the planet. The entire database lives in a single file, with no network layer, daemon, or config files to manage. That zero-overhead model makes it the default choice for web scrapers, mobile apps, CLI tools, and data pipelines that need structured storage without server complexity. This guide covers the full lifecycle: schema design, inserts, queries, security, and debugging.

After years of progress, AI has gotten a lot better at acting like human thinking. Whether that’s in machine learning, robotics, natural language processing (NLP), or training AI agents. But one thing still holds true – AI is only as good as the data it learns from. In this post, we’ll look at why high-quality training data matters so much when building strong AI systems.

AI web scraping with Python lets you extract data from websites without relying on fragile parsing rules. AI helps handling page inconsistencies and dynamic content, while Python continues to manage fetching. In this guide, you'll see how models extract data from unstructured pages, reduce manual parsing rules, support automation, and scale into reliable pipelines.

Puppeteer and Selenium are the 2 most-used browser automation tools for scraping JavaScript-heavy pages. Comparing puppeteer vs selenium for web scraping isn't just about speed. Browser support, language support, and anti-bot handling all play a role. This guide covers what each tool does well, what it doesn't, and how to pick the right one.

Individual AI agents are powerful, but their true value is unlocked when they operate cooperatively as a collective. This coordinated effort, known as AI agent orchestration, is fundamental to creating truly autonomous systems capable of managing intricate, multi-step business processes. This guide will walk you through the core patterns of AI agent orchestration and build a practical, autonomous agent using the robust, low-code combination of n8n and Decodo MCP.

Every JSON payload a JavaScript app receives passes through JSON.parse(). The method has to handle malformed payloads, lossy type round-trips, files that exceed Node's default heap, and APIs that change shape without warning. Each of those failures surfaces at parse time. This guide covers them all, including practical patterns for web scraping.

Charles Proxy (or simply Charles) is an HTTP debugging proxy that acts as a man-in-the-middle between the computer and the internet, which developers and QA teams use to monitor, inspect, and modify data flow. In web scraping, it allows users to intercept, decrypt, and manipulate network traffic to extract data. This guide covers setup, core features, SSL handling, practical use cases, scraping workflows, troubleshooting, and notable alternatives of Charles Proxy.

Class names are often the quickest way to target elements when you scrape a page. But in XPath, they are not as simple as they look. Because HTML stores multiple classes inside a single space-separated attribute value, a selector that seems correct can still match the wrong element or miss the right one entirely. In this blog post, you’ll learn how to select elements by class in XPath, when to use exact or partial matching, and how to avoid common class matching pitfalls.

Did you know that Google Chrome is the most popular web browser in the world, with over 68.9% of the market share? With its sleek design and fast performance, it's no wonder people love using Chrome for all their browsing needs.

But what happens when the browser starts blocking websites? In this article, we’ll explore the reasons why websites get blocked in Chrome. So, get ready to dive into the world of Chrome's security features and discover why it's important for your online safety.

Bulk text extraction has become an inseparable part of modern-day existence, with real-world cases including building datasets for LLM training, archiving, content analysis, and RAG systems. However, extracting all text is far more complex than scraping a single page, so we’ve prepared a step-by-step guide to discover pages, extract clean text, remove unnecessary elements, and export structured datasets into proper formats. The tools we use are Python, Beautiful Soup, Playwright, and Decodo proxies.

Cloudflare protects over 20% of all websites, and its anti-bot system can shut your scraper down in seconds. A Cloudflare scraper is any tool or script that gets past those defenses to pull data from protected sites. This guide breaks down how Cloudflare spots bots, why most scrapers fail, and how to scrape with Decodo's Web Scraping API.

TL;DR: A proxy server acts as an intermediary between your device and the internet, masking your IP address and routing your requests through alternative IPs. Businesses use proxies to bypass geo-restrictions, avoid blocks and CAPTCHAs, scrape web data at scale, verify ads, monitor prices, and maintain online anonymity. With the proxy market projected to reach USD 3.12 billion by 2032, understanding which proxy type fits your needs can make the difference between seamless data collection and constant roadblocks.

If you work with APIs, webhooks, automation scripts, or web scraping, chances are you've needed to send JSON with cURL. cURL is one of the most widely used command line tools for making HTTP requests, and modern APIs almost always rely on JSON payloads. In this guide, you’ll learn how to send JSON with cURL, work with files and authentication, debug requests, and route traffic through proxies when needed.

When you need to get cookies in Playwright and reuse them across runs, the key concept is the browser context. Cookies live in the context, not the page. Getting cookies in Playwright starts with the context.cookies() method, and returns every cookie stored in the browser context, which you can save and load from a file later. This guide walks through how to get, save, and load cookies in Playwright.

Most Python scrapers that use Requests stop working as soon as a site is protected by Cloudflare. You might see a 403 error, get stuck in a redirect loop, or land on a "Just a moment..." page that never loads. Cloudscraper solves this problem without needing a headless browser. It builds on Requests, handles Cloudflare's JavaScript challenges, and gives you a working session. This guide explains how to set up Cloudscraper, configure proxies, choose an interpreter, handle CAPTCHAs, parse data, fix common errors, and understand the library's limitations. If you're new to Python scraping, start with the Python web scraping guide first.

Perplexity is slowly becoming one of the more prominent LLMs in 2026 because it delivers output in a unique way that sets it apart from the rest. When you send a prompt, Perplexity AI will return a direct answer, along with cited sources (URLs and titles), related follow-up questions to that prompt, and supporting images as well. All this information can be worth tracking for businesses that care about their brand visibility, and how Perplexity is representing them and their competitors to a typical user.