Several stages of development using AI:

1. First stage: Discovering a New World, feeling like you’re all-powerful
Thinking that as long as you have an idea, you can fully realize it. Every day, there are countless ideas, plus all kinds of workflows you want to try—full of energy, with endless ideas;
2. Second stage: Starting to feel discouraged, feeling like you’re just going around in circles
Always circling—one skill after another, refining and refining. It feels like it works, and it’s not too bad, but you always feel it’s not good enough. It’s still far away from your original ideas. You keep changing and changing things, and the quality just doesn’t have the “big picture”;
3. Third stage: Giving up on fantasies, refining step by step
Earlier AI development had modules, but basically the implementation process of each module was a black box—you don’t know how it’s done. Now it’s A implements, B checks, and, more importantly, seriously checks the specific implementation of each step, to see where it can be optimized. For example, should the image-generation model be replaced? Should the text-organizing model be replaced? Can the implementation path be tuned for optimization? Also, can this step be removed—are the code logic and structure too complex, wasting tokens?
I’m currently between the second and third stages, and occasionally I show symptoms of the first stage. In this world of samsara, nothing is ever as easy as it seems. In the end, it still comes down to refining your mindset.