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Which AI approach actually fits your use case?

What does your use case primarily involve?

How much of your own data needs to be part of the response?

This shapes whether retrieval or fine-tuning is needed.

What are your latency requirements?

Response time shapes which architectures are practical.

How much does accuracy matter relative to cost and speed?

There are real trade-offs here — no approach gives you all three at once.

Does the task require multiple reasoning steps or external tool calls?

This is the clearest signal for whether you need a simple prompt or a full agent architecture.

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Comparing your requirements against common AI architecture patterns

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