AI in Tech

AI in tech is revolutionizing industries by driving automation, innovation, and efficiency across various sectors. From machine learning algorithms improving cybersecurity to AI-powered analytics optimizing business decisions, artificial intelligence is reshaping the future. Companies leverage AI chatbots, predictive modeling, and intelligent automation to enhance user experience and streamline operations. As AI continues to evolve, its impact on software development, cloud computing, and data security will define the next generation of technological advancements.

Cloudflare Revolutionizes Web Content Protection: New AI Crawler Blocking and Pay-Per-Crawl System

Cloudflare Revolutionizes Web Content Protection

Ravi Jain
Cloudflare is revolutionizing web content protection with a new system that automatically blocks AI crawlers by default and introduces a Pay-Per-Crawl model. This significant change, effective July 1, 2025, allows content creators to monetize their intellectual property when accessed by AI systems, moving away from previous unrestricted data harvesting. Websites will have granular control over AI bot access, distinguishing between different AI purposes, while traditional search engine crawlers remain unaffected. The initiative aims to establish fair compensation for creators and foster sustainable AI innovation by requiring AI companies to license data or face blocked access from Cloudflare's extensive network. ... Read More
ChatGPT Can Now Connect to MCP Servers

ChatGPT Can Now Connect to MCP Servers: Complete Implementation Guide for 2025

Ravi Jain
AI, specifically ChatGPT's integration with Model Context Protocol (MCP), a new open standard developed by Anthropic. This integration, released in June 2025, allows businesses using ChatGPT Enterprise, Education, or Team to connect their proprietary data sources directly to ChatGPT, breaking down information silos and enabling employees to access company data through conversational AI. The document outlines the technical implementation process, crucial security considerations, and various business applications, while also discussing limitations, future developments, and the competitive landscape. It emphasizes the importance of trusted MCP servers and careful data governance to mitigate risks like prompt injection. ... Read More
Side-by-side comparison chart of ChatGPT Search vs Google Search features and capabilities

ChatGPT Search vs Google: 2025 Update Guide & Tech Benefits

Ravi Jain
OpenAI's significant June 2025 upgrade to ChatGPT Search, positioning it as a direct competitor to Google's search dominance. The update introduces enhanced response quality, extended conversational memory, and real-time information access, leveraging natural language processing for more intuitive user interaction. It highlights improvements in source verification and transparent linking, while also acknowledging potential inaccuracies and advising user discretion. The text emphasizes ChatGPT Search's utility for professionals and its potential to reshape SEO strategies, underscoring its strategic market position and continuous innovation in the evolving landscape of AI-powered search technology. ... Read More
Master LLM Prompt Engineering: 5 Expert Techniques to Boost AI Output Quality in 2025

The Complete Prompt Engineering Guide 2025: Master AI Techniques That Boost Output Quality by 340%

Ravi Jain
"Master LLM Prompt Engineering: 5 Expert Techniques" by AI Engineering Expert, focuses on the critical importance of prompt engineering for optimizing Large Language Model (LLM) performance. It introduces prompt engineering as the art and science of crafting effective instructions to guide AI models, highlighting its benefits like increased productivity, enhanced accuracy, and cost optimization. The article details five specific techniques: co-creating prompts with AI, implementing AI self-evaluation, structuring responses with examples, breaking down complex tasks, and leveraging AI reasoning for optimization. Finally, it promotes Technijian's AI consulting services, positioning them as experts in helping businesses implement these advanced prompt engineering strategies. ... Read More
The Ultimate AI Research Combo: How NotebookLM's Audio Overviews in Gemini with Deep Research Transform Content Creation

The Ultimate AI Research Combo: How NotebookLM’s Audio Overviews in Gemini with Deep Research Transform Content Creation

Ravi Jain
Google's AI-powered research tools, NotebookLM and Gemini, highlighting their Audio Overviews feature. This feature converts research sources into podcast-style discussions hosted by virtual AI presenters, aiming to make information consumption more engaging and efficient. The document outlines the strengths and use cases for each platform, with NotebookLM excelling in source-specific academic research and Gemini specializing in broad, comprehensive topic exploration through Deep Research capabilities. Ultimately, the text presents these tools as a game-changer for content creation, academic work, and business analysis, offering enhanced accessibility, efficiency, and engagement in processing information. ... Read More