No more vague AI answers!
These 11 proven strategies turn your prompts from “okay” to “wow”:
🎭 Define a role
Assign the model a concrete role such as “contract law expert” or “marketing advisor.” This tells it immediately which knowledge area and tone it should apply.
📋 Clear prompt structure
Organize your tasks clearly with paragraphs, bullet points, or dividers like „—„. This reduces misunderstandings and significantly increases precision.
🌍 Better in English
Large language models are mainly trained on English internet texts – they understand English more precisely and capture finer nuances.
🎤 Speak instead of type
Voice input leads to longer, more detailed prompts, since we intuitively provide more context when speaking. More information = better results.
⚡ Meta-prompting
Have the model first optimize your rough prompt draft without executing it. In the next step, you’ll receive an improved prompt – for significantly better results.
🎯 Provide examples (Few-Shot)
Show the model concrete examples of texts or formats you like. This allows it to mimic style, length, and structure much more accurately.
⚙️ Use personalization
Leverage presets for tone, style, or output formats in your model. This saves time on post-editing and delivers more consistent results.
🔗 Prompt chaining
Break down complex tasks into steps so the model can handle each part thoroughly. Intermediate results feed directly into the next step.
🔍 Require self-consistency
Ask the model to critically review and, if needed, improve its own output. This often results in more reliable and logically consistent text.
📏 Provide quality criteria
Define clear criteria like “max. 200 words, neutral-professional tone, focus on three main points.” The outcome will measurably improve.
✅ Plan validation deliberately
With AI, the work shifts from creating to reviewing. Plan time for source checks and plausibility assessment.
