Editor's Synopsis
Joshua Ebner observes that many people default to thinking every business workflow needs an LLM, an agent, or an agentic approach — but argues this is often the wrong mindset. He begins sharing an anecdote from students in his AI engineering course who came to him with a similar assumption, suggesting the full thread likely explores when simpler or more traditional solutions are more appropriate than reaching for cutting-edge AI tooling.
The post highlights a growing tendency in the AI space to over-engineer solutions with large language models and agentic architectures when the problem may not warrant that level of complexity. Ebner's perspective serves as a reminder for engineers and product builders to critically evaluate whether AI is truly the right fit before defaulting to it.