Author: Gurubheemacharya Karjol
Building AI Agents in the Real World: Lessons Beyond the Demo
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Why reliable AI automation requires more than a powerful language model. Introduction Artificial Intelligence has opened up exciting possibilities in software engineering. We can now use AI to generate code, analyze documents, summarize information, and assist with complex technical tasks. AI agents take these capabilities a step further by connecting AI models to software applications,…
Read MoreContext Engineering: The Missing Piece in Building Smarter AI Agents
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Why the future of Artificial Intelligence depends not only on smarter models, but also on giving them the right information at the right time. Introduction Artificial Intelligence is evolving rapidly. Large Language Models (LLMs) can generate code, summarize documents, answer complex questions, and assist with business decisions. AI agents extend these capabilities by using tools,…
Read MoreAI Agents and Human Intelligence: Why the Future Is Collaboration, Not Replacement
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Artificial Intelligence is changing how we work. But the greatest opportunity may not be replacing human intelligence—it may be combining human judgment with machine capabilities. Introduction Artificial Intelligence has entered a new phase. Generative AI can write articles, generate code, analyze information, and answer complex questions. Agentic AI extends these capabilities by enabling systems to…
Read MoreBuilding Trustworthy AI Agents: From Automation to Accountability
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Artificial Intelligence is becoming more capable every day. But how do we ensure that AI agents perform real business tasks reliably, securely, and responsibly? Introduction Artificial Intelligence has moved beyond answering questions and generating content. AI agents can now be designed to interact with software applications, retrieve information, execute tasks, and coordinate multi-step business…
Read MoreFrom Generative AI to Agentic AI — The Next Revolution in Software Automation
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Why the future of Artificial Intelligence is not just about generating content, but about getting work done. Introduction Artificial Intelligence has been evolving at an extraordinary pace. Just a few years ago, AI was primarily associated with machine learning, prediction, image recognition, and data analysis. Then came Generative AI, bringing a remarkable transformation in…
Read MoreMost developers treat AI agent memory as a simple FIFO buffer. They push the last N messages into the context window and hope the LLM stays coherent.
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Most developers treat AI agent memory as a simple FIFO buffer. They push the last N messages into the context window and hope the LLM stays coherent. This is why your agents get confused during long-running tasks. You aren’t managing state; you’re just creating a noisy transcript. To build reliable agents, you need to move…
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