In this post, we’ll explore a set of practical grounding statements you can test and adapt in your own environment. Each aims to shape specific aspects of behaviour—from restricting the model’s use of outside knowledge and creative writing to handling user escalation or uncertainty gracefully. You’ll also see how to test each instruction to confirm the model is following your intended boundaries.
Whether you’re fine-tuning a customer support bot or designing a compliance-focused internal assistant, these examples will help you build more transparent, reliable, and controllable AI interactions.
