Technical Rakesh Sharma

  🤖 AI Agents Are No Longer Just Chatbots: Can We Trust Autonomous AI? The Rise of Agentic AI and the New Security Challenge ✍️ By Technical Rakesh Sharma Introduction Artificial Intelligence is entering a new phase. The first major wave of generative AI focused on creating content, answering questions, writing code, generating images, and summarizing information. The next wave is different. Instead of simply responding to users, AI Agents are increasingly being designed to plan tasks, use tools, interact with software, and complete multi-step workflows. This shift is commonly described as Agentic AI . And in 2026, the technology is becoming one of the most important developments in AI. Research based on OpenAI's Codex usage found rapid growth in agentic AI adoption during the first half of 2026, including substantial changes in how users organize complex workflows. At the same time, security researchers and technology companies are paying increasing attention to the risks of auto...

  🤖 AI Agents vs AI Assistants: What's the Difference and Which Has the Future? The Next Big Evolution of Artificial Intelligence ✍️ By Technical Rakesh Sharma Introduction Artificial Intelligence is transforming the way people work, learn, and communicate. Millions of users interact with AI tools daily for content creation, coding assistance, research, and productivity. However, a new concept is gaining attention across the technology industry: AI Agents Many people think AI Assistants and AI Agents are the same thing, but they are fundamentally different. In this article, we'll explore: What AI Assistants are What AI Agents are Key differences Business impact Future opportunities What Is an AI Assistant? An AI Assistant is designed to help users perform tasks through conversation. Examples include: ChatGPT Google Gemini Microsoft Copilot Typical capabilities: ✔ Answering questions ✔ Writing content ✔ Drafting emails ✔ Summarizing information ✔ Providing rec...

  🤖 Agentic AI: The Future of Autonomous Intelligence Introduction Artificial Intelligence is evolving rapidly. From simple chatbots to advanced generative AI, the next big leap is Agentic AI — systems that can act independently, make decisions, and complete tasks without constant human input. What is Agentic AI? Agentic AI refers to AI systems that: Understand goals Plan actions Execute tasks Learn from outcomes Unlike traditional AI, it doesn’t just respond — it acts . How Agentic AI Works 1. Goal Definition You define an objective (e.g., increase sales) 2. Planning AI creates a strategy 3. Execution AI performs actions using tools 4. Learning AI improves based on results Agentic AI vs Traditional AI Feature Traditional AI Agentic AI Control Human-led AI-driven Decision Making Limited Advanced Automation Partial Full Adaptability Low High Real-World Use Cases Business Automation CRM workflows Customer support bots Sales optimization Software Development Code g...

  🔰 परिचय Artificial Intelligence तेजी से evolve हो रहा है। पहले AI सिर्फ सवालों के जवाब देता था, फिर content बनाने लगा, और अब एक नया concept सामने आ रहा है — Agentic AI । Agentic AI का मतलब है ऐसा AI जो: खुद सोच सके खुद decision ले सके और बिना इंसान के लगातार काम कर सके यह technology आने वाले समय में business, jobs और daily life को पूरी तरह बदल सकती है। 🤖 Agentic AI क्या है? Agentic AI एक advanced AI system है जो goal-based काम करता है । 👉 इसे आप ऐसे समझ सकते हैं: “आप goal बताओ, काम कैसे करना है यह AI खुद decide करेगा” यह traditional AI से अलग है क्योंकि: यह सिर्फ instructions follow नहीं करता बल्कि खुद plan बनाता है और steps execute करता है 🧠 Agentic AI कैसे काम करता है? Agentic AI चार मुख्य components पर काम करता है: 1️⃣ Goal Understanding AI को एक objective दिया जाता है 👉 जैसे: “Sales बढ़ाओ” 2️⃣ Planning AI खुद strategy बनाता है 👉 marketing plan, customer targeting 3️⃣ Execution AI tools use करके काम करता है 👉 emails भेजना, data analyze करना 4️⃣ Learn...