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Rahul Agarwal
Founder | Agentic AI... • 2d
Everyone claims they’re building AI agents today. Most aren’t even close. They’re building automation with better interfaces, not systems capable of independent execution. This misunderstanding kills real returns. And creates false expectations. Not every AI system qualifies as an agent. Chatbots respond to prompts and generate outputs based entirely on your instructions. They answer questions well. They stop there. They don’t initiate actions, make decisions, or carry responsibility for results independently. They are interaction layers. Not operational workers. RPA tools execute predefined steps exactly as configured, without adapting to surprises. They follow strict instructions. They cannot improvise. When workflows change unexpectedly, these systems stall because logic never anticipated variation. They are process executors. Not intelligent operators. RAG systems enhance responses by retrieving relevant external data before generation occurs. They improve answer accuracy. They remain reactive. They don’t define goals, sequence actions, or drive workflows toward completion autonomously. True agents operate differently. They own execution cycles. They determine priorities, select tools, and coordinate steps required to achieve outcomes. They take initiative. They persist independently. They interact with systems, retain context, and refine behavior through ongoing feedback. They function like employees. Not software features. Automation waits for instructions. Agents pursue objectives. The distinction defines everything.
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