AI agent productivity may depend more on workflow than better models
become harder to use once they move beyond simple chat. Real work brings problems like , project organization, and . Asking ChatGPT questions, pasting code, and dropping in long pages can be useful at the start.
But ongoing work such as running business , managing Airbnb tasks, building software, and creating needs a more organized setup. The main idea is that better results may come less from chasing stronger models and more from giving a clear way to remember, organize, and continue work.
Key points
- face new problems when used for ongoing real work, not just chat.
- , project organization, and are the main issues named.
- Pasting code and long pages into ChatGPT can help early on, but it does not scale well.
- Business , Airbnb work, software , and need more structure.
- A cleaner workflow can reduce repeated context and may lower token use.