Your prompt is feeding the model its own cliché

说明与用途

字幕生成管道每天产生相同句子结构，导致内容机械化。通过去除提示中的形容词、提供多种角度列表并使用最近的钩子作为避免列表，钩子变得多样化。

问题

An AI‑generated video subtitle pipeline repeatedly produced the same sentence structure, making the output machine‑like.

结果

The pipeline now produces hooks with varied sentence structures, eliminating the machine‑like pattern and improving viewer engagement.

工作流

• 1. Replace the adjective "counterintuitive" with a list of angles for the hook. 2. Add a rule that the hook must be different each day and avoid ending with a question mark unless it is a real question. 3. Implement a function to read the last N hook sentences from the existing log and format them as an avoid‑list. 4. Append the avoid‑list to the prompt before sending it to the model. 5. Ensure the log is read from the same file the pipeline writes to, keyed by date. 6. Return an empty string on any failure to avoid breaking the unattended job. 7. Test by running the old and new prompts on the same input and comparing the hook sentences. 8. Use a dry‑run flag that writes to the log with a [dry] tag so the avoid‑list parser ignores it. 9. Verify the dry‑run output is not fed back into the model as a recent hook.

证据

I put the cliché in the prompt and it did what I asked.

来源

Three details that are easy to get wrong: Read from a log you are already writing.

来源