Integrating AI into the Daily Workflow | Fatbobman’s Swift Weekly #066
Weekly Comment
Integrating AI into the Daily Workflow
Large language models have become indispensable assistants in my day-to-day work and personal life. Currently, my primary means of interacting with them is conversational. While this style of communication has grown increasingly smooth and intuitive with the improvement of model capabilities, when various needs are interwoven into a single conversation, the resulting efficiency often falls short of what I’d like. To address this, I’ve recently begun exploring how to tailor prompts for dedicated sessions focused on specific tasks.
In doing so, I have not opted for the popular AI agent-building platforms, but rather relied on the MyGPT functionality offered by ChatGPT. Although I possess some programming experience — for instance, breaking complex tasks into simple modules (like functions) — I still face many challenges when transferring this approach to AI tasks. Figuring out how to effectively decompose tasks and ensure each module produces stable, accurate results isn’t as straightforward as writing code. One might say the abstract reasoning required by large language models differs substantially from the logic of traditional programming. Without a deeper grasp of prompt engineering and the inner workings of…
