@RealCodedAlpha: After seeing this suspected Anthropic internally optimized Fable 5 Prompt structure, I realized: most people are writing Prompts wrong from the start! Many think a good Prompt = longer, more complex, more techniques, more role settings. But the structure given by this image is very…

After seeing this suspected Anthropic internally optimized Fable 5 Prompt structure, I realized: most people are writing Prompts wrong from the start! Many think a good Prompt = longer, more complex, more techniques, more role settings. But the structure given by this image is very simple: Context: What's the background Request: What exactly do you want the model to do Output Format: How should the result be delivered Constraints: What cannot be assumed or overstepped Checkpoint: When to stop and ask you But for stronger models like Fable 5, Claude, Codex, the real key is not to "teach the model how to think," but to clearly define the task boundaries! Especially the last one, Checkpoint, is important: Only pause in three situations: 1. Involves irreversible operations 2. Task scope changes 3. Requires user input Otherwise, the model should continue completing the task and report at the end. This is how Prompts should be written in the Agent era. The stronger the model, the less nonsense it needs. It needs goals, boundaries, and acceptance criteria. From now on, before writing a complex task, check these 5 parts: Context 、Request、Output Format 、Constraints 、Checkpoint