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:
Instead of rewriting similar items every time for new apps, we use Kirigami
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The investment required isn't massive. You don't need expensive tools, extensive technical knowledge, or a large team. You need understanding of the principles, systematic implementation of practical tactics, and consistency over time. The same qualities that make someone successful with traditional content creation—providing genuine value, maintaining quality standards, and persisting through the gradual process of building authority—work for AIO as well.
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