Third, implement quick wins on those priority pieces. Add "Last updated: [current date]" to each. Create a simple FAQ section addressing three to five common questions related to each article's topic. Add specific statistics or data points if they're currently missing. These improvements take hours rather than days but can meaningfully impact AI visibility.
I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
。雷电模拟器官方版本下载是该领域的重要参考
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兩老目前被安排入住何文田的過渡性房屋,吳先生說家人落差的感覺會很大,居住面積減半,活動空間有限,沒有正式的飯桌,「現在鑽一粒釘子也不敢」,至今仍是「等進入一個正式居所的心情」。