Large language models (LLMs) are powerful tools, but their output quality depends heavily on how you interact with them. Effective prompt engineering can dramatically improve results.

Be Specific

Instead of asking "Write a story," try "Write a 500-word science fiction story about a robot learning to paint." Specific constraints help the model understand exactly what you're looking for.

Provide Examples

Showing the model what you want (few-shot prompting) often yields better results than describing it. Include an example of the tone, format, or style you're aiming for.

Iterate and Refine

Rarely does the first output match exactly what you envisioned. Use follow-up prompts to refine: "Make it more formal," "Shorten this to two paragraphs," or "Add more technical detail."

Use System Instructions

With Free.ai's multi-provider support, you can leverage system-level instructions that guide the model's behavior throughout a conversation. Define the AI's role upfront for more consistent responses.