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Explain the AI System Stack for My Use Case

Understand LLM vs RAG vs AI Agent vs Agentic AI in plain terms, applied to your project

I'm building/evaluating: [describe your project or idea]. Explain, using my specific use case as the example throughout: 1. What a plain LLM would and wouldn't be able to do for this 2. Where RAG (retrieval-augmented generation) would add real value, and what data it would need 3. Where an AI Agent (tool use, planning, execution) becomes necessary versus overkill 4. Whether true Agentic AI (multi-agent orchestration) is warranted, or premature for my stage End with a recommendation for which layer to actually build first.
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