Professional AI prompts do not have to be created entirely manually. Modern AI systems can help analyse existing information and develop structured prompt templates from it. This approach is also often referred to as Meta-prompting.
For example, company websites, style guides, reference documents or other sources of knowledge can be evaluated for this purpose. The AI identifies recurring rules, tones of voice and requirements and transfers them into a structured prompt template, which can then be individually adapted and further developed.
AI supports the creation of professional prompts in the following ways, among others:
- Analysis of existing content: Style guides, reference documents or company information are evaluated.
- Structuring requirements: Notes or briefings are transformed into clearly structured prompt templates.
- Optimisation of existing prompts: Existing prompts are analysed and specifically improved.
- Integration of company knowledge: Terminology, tone of voice and other requirements can be taken into account directly.
- Creation of test cases: Example content helps to review and further develop new prompt templates.
An example:
❌ Manual creation:
An employee manually transfers the most important rules from a comprehensive style guide into a new prompt.
This is time-consuming, and important requirements can easily be overlooked.
✅ AI-assisted creation:
"Analyse the attached style guide and create a prompt template for our marketing copy based on it. Take tone of voice, terminology, no-goes and placeholders for product information into account."
The AI creates a structured draft that can then be reviewed and refined further if necessary.
In short:
AI helps companies create professional prompt templates more quickly and systematically transfer company knowledge into reusable AI instructions.