Agentic AI & Intelligent Automation
Research and practical insights on AI agents, agentic RAG, multi-agent architectures, orchestration, intelligent automation, and autonomous workflows in real products.
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The AI Profitability Paradox: When More Users Don’t Mean More Profits
AI is becoming cheaper to run, yet increasingly expensive to operate. The next competitive advantage may not be intelligence alone, but the economics of delivering it.
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From Search API to Research Agents: A Practical Blueprint for Building with Exa Agent and Exa MCP
If you are starting with Exa’s new Agent and MCP products, the first thing to understand is this: they solve two different but related problems. Exa Agent is for…
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The Real Race in AI Agents Isn’t Models ; It’s Execution
A small announcement recently caught attention in the AI community. TinyFish claims its web agent scored nearly 90% on the Online-Mind2Web benchmark—the highest score recorded so far. The benchmark…
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Why Companies Like Meesho Are Quietly Building AI Voice Infrastructure
At first glance, an AI voice role at a company like Meesho might look like just another AI hiring trend. Another chatbot.Another voice assistant.Another automation experiment. But when you…
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When AI Agents Start Talking to Each Other: The Next Shift in the Digital Economy
Today, most AI interactions follow a simple pattern: Company AI Agent → Human A company deploys a voice bot.It calls a candidate.It follows up on an order.It qualifies a…
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Talk to Your Data: Looker’s AI Agents
In today’s data-driven world, the ability to turn raw data into actionable insights is the competitive edge that modern organizations crave. Yet for too many teams, the gap between…
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Manus: The AI Overachiever That Might Just Automate You Out of Work
Welcome to the Future—Where AI Doesn’t Just Assist, It Executes The age of AI assistance is officially over. The age of AI execution has begun. Meet Manus, China’s latest…
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Vertical AI Agents: The $300 Billion SaaS Revolution
The enterprise software world is experiencing a transformative shift akin to the SaaS revolution, led by Vertical AI Agents—industry-specific AI solutions designed to automate workflows, optimize operations, and enable…
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Agentic RAG: Redefining Knowledge Retrieval with Practical Applications
In my early attempts to design knowledge systems, I focused on technical precision—defining every possible scenario, prescribing every edge case, and detailing exact solutions. However, it became evident that…
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How to Build Multi-Step AI Agents with CLAUDE’s mCP Update
The latest update to Claude, the Model Context Protocol (mCP), is a game-changer for AI enthusiasts. It turns Claude into an interactive API that can communicate with external tools…
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The Next Evolution in AI: Forget RAG, Welcome Agentic RAG
As artificial intelligence grows in sophistication, so do the architectures driving its capabilities. The world has embraced Retrieval-Augmented Generation (RAG) as the go-to framework for synthesizing information and generating…
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Healthcare AI · Agentic AI · AI Engineering · Product Strategy