A basic LLM interaction is usually just this:
- send input
- receive output
Even if the result is useful, creative, or highly technical, that simple exchange is not necessarily agentic.
What basic LLMs are good at
Without extra orchestration, a model can still do a lot:
- explain concepts
- draft text
- summarize documents
- generate code snippets
- classify information
That makes plain LLMs useful for many tasks. Not every workflow needs an agent.
Adding agent behavior is most helpful when the job requires iteration, external tools, or action in the world beyond text generation.