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Rahul Agarwal

Founder | Agentic AI... • 20d

If you think an AI agent is just a smarter chatbot, you’re already behind. An agent is a coordinated system that perceives, decides, and executes. That’s a different engineering problem. In production, the agent connects your data and external environment. The language model is only one piece inside that larger system. Not the whole product. Real capability comes from orchestration, integrations, and structured control layers. Tool routing frameworks manage actions, but architecture determines outcomes. Design matters here. Most enterprise failures trace back to a weak memory design. Teams focus on short-term context and ignore persistent intelligence. Then scaling collapses. You need procedural memory that encodes repeatable task execution logic. You need semantic memory for structured, retrievable knowledge. And episodic memory. To learn from history. Skip these layers and your agent forgets everything important. What remains is a stateless workflow with good marketing. At the center sits a continuous reasoning cycle. Interpret input. Gather context. Evaluate choices. Without that tight loop, you’ve built an overpriced wrapper. It may respond fluently, but it does not truly decide. Planning is the separator. Strong agents simulate options before committing to execution paths. Weak ones react immediately and hope for the best. That’s fragility. You also need external tools and internal governance working together. Too tool-heavy becomes dependent; too autonomous becomes unpredictable. Balance is critical.

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Founder | Agentic AI... • 5d

Most people studying AI agents never deploy one real system people actually use. Because they stop at prompts. Prompting is practice. Building is different. Production systems require architecture, workflows, evaluation, and real operational think

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Everyone should know how Agentic AI really works. I’ve explained it in a simple way below. 1. 𝗨𝘀𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 (𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱) Everything begins with the 𝗨𝘀𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲. • Users type a message or give a task • This happen

Rahul Agarwal

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