How does asking the model to "Respond as a panel of three experts (a coder, a security lead, and a PM)" differ from asking it to "Respond as a Senior Engineer"?

Why does telling a model "Don't use the word 'delve'" often fail? What is a more effective way to rewrite a prompt to avoid specific behaviors?

How do you programmatically ensure the LLM's output matches your database schema every single time?

We know "think step-by-step" works. But when should you not use Chain of Thought (CoT) in a production app?