AI agents vs Advanced prompting

Hello there,

I’m completely new to AI agents and I want to learn more about them, especially how to use them for daily usage and personal projects.

I’ve finished the course on DeepLearning.ai about multi agents and I’m still not really sure about the performance of ai agents over advanced prompting.

For example in the course I’ve built 3 agents to write an article, I have compared it to a good prompt (persona based, chained, and reviewed) for the same task. And I got some similar result, maybe even better on the manually prompted article.

Maybe I haven’t deep dive enough on AI agents, and I haven’t used them on complex tasks, but I would be glad if you could share your use cases with AI agents and your method to increase your skills with AI agents.

Thanks.

The main advantage agents have over manual prompting is automation. In your article writing example, you just setup the agents once then trigger the agents with a topic and they will work behind the scene to give you a completed article without any involvement from you.

I have worked with clients on projects including report compilation, document processing, RAG pipelines, agentic RAG chatbots etc. Agents have applications that are practical right now.

Since you just got started I suggest:

  • you keep on building
  • reading documentation to fully understand how the framework works
  • study the general theory behind agents and LLM application
  • work on becoming a better engineer since AI engineering is still just engineering

Good luck!!