Three Levels of AI Instructions

Ordinary people say "Help me do this," while engineers think "How to make AI learn to think this way."

The difference lies in a set of principles. By embedding value constraints before handling any request, the model can filter out harmful content while completing the task — this is the key to keeping modern large language models both useful and safe.

The core mechanism is straightforward: constrain the model's behavior framework with a principles system, setting up barriers before information flows through. This is not post-hoc review, but proactive design.

From another perspective, this approach also offers insights for blockchain and Web3 applications — using rules upfront rather than patching problems afterward can make systems more robust and controllable.