Be clear and specific: Define your request precisely to reduce ambiguity in the response.

Use examples: Providing a few examples helps the model understand the expected format or style.

Set context when needed: Why, how, and for whom?

Delete chat history when switching context: When you switch context and work on a new topic, press the Clear Chat button to avoid confusion and save tokens.

Iterate and refine: Start with a simple prompt, then tweak wording based on the responses you get.

Limit scope: Focus each prompt on a single task or question to avoid mixed or confusing results.

Experiment with phrasing: Small changes in wording can have a big impact on the quality of output.

Avoid overly long prompts: Keep prompts concise but informative to help the model focus on what matters.

Define the output format: For example, "Summarize in 250 words".

No need to be polite: "Thank you" is useless, you simply waste time and tokens.