Artificial Intelligence

Most AutoGPT tutorials stop at "get it running", but that's the easy part. The harder part that determines whether your agents are useful is connecting them to live data, and AutoGPT helps you fix that. This guide covers AutoGPT local setup, UI navigation, custom Python block development, and the integration patterns that turn AutoGPT into a production workflow tool.

Google AI Mode was launched as a Search Labs experiment in March 2025. It's powered by Gemini 2.5, which synthesizes answers from multiple sources and allows you to ask follow-up questions. Google AI Mode isn't the same as Google search results; it's an entirely full-page conversational interface using different URL parameters, rendering pipelines, and scraping logic. This guide provides a walkthrough of two different approaches: a working Playwright script you can execute right away, and the Decodo Web Scraping API for production.

Images, video, and audio are harder to collect and clean than text, and much less useful without context. Multimedia scraping helps you collect media, preserve the metadata that gives it meaning, and turn scattered files into training-ready datasets. The hard part is treating each media type differently from the start.

Switching from ChatGPT to Claude no longer means starting from scratch. Anthropic’s memory import tool lets you transfer preferences, context, and instructions in under 5 minutes. This guide covers 3 migration paths – from a quick memory import to a full data transfer, plus feature comparisons, export steps, and power tips.

AI-powered automation has moved from niche tooling to a 2026 priority. Tools such as OpenClaw turn large language models into proactive messaging assistants, while n8n offers a visual workflow builder for connecting apps and orchestrating processes. This guide compares their architecture, AI capabilities, pricing, and best-fit use cases so you can quickly decide which tool matches your needs.

Artificial intelligence is transforming various fields, ushering in new possibilities for automation and efficiency. As one of the leading AI tools, ChatGPT can be especially helpful in the realm of data collection, where it serves as a powerful ally in extracting and parsing information. So, in this blog post, we provide a step-by-step guide to using ChatGPT for web scraping. Additionally, we explore the limitations of using ChatGPT for this purpose and offer an alternative method for scraping the web.

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.

With all the buzz about AI taking over our jobs, why not flip the script and employ AI to help you write efficient code and boost your productivity instead? In 2026, the best AI tools for coding are designed to be your new sidekick, helping you code smarter, faster, and with less stress. Let's explore how you can make AI work for you before the inevitable machine world domination.

Web scraping has become increasingly complex as websites deploy sophisticated anti-bot measures and dynamic content loading. While traditional scraping approaches require extensive manual coding and maintenance, artificial intelligence offers a transformative solution. Claude, Anthropic's advanced language model, brings unique capabilities to the web scraping landscape that can dramatically improve both efficiency and effectiveness.