AI prompts are not static templates; they evolve alongside a company's requirements. New products, changes to company policies or experience from everyday use make regular adjustments worthwhile.
Through continuous optimisation, AI prompts become more precise and deliver better results over the long term. At the same time, companies ensure that terminology, style guides and company knowledge are always taken into account in their current form.
AI prompts can be improved, for example, through:
- Feedback from day-to-day work: Employees' experiences help to further develop prompts in a targeted way.
- New products or services: Changes to the portfolio are incorporated into existing prompt templates.
- Updated terminology and style guides: New technical terms or amended company requirements are incorporated into the prompts.
- Current company knowledge: New reference documents, policies or content improve the professional context.
- Further development of AI models: New models or features may make it worthwhile to adapt existing prompts.
An example:
❌ Outdated prompt template:
"Create a product text for version 2.0. Use the 2023 glossary."
The AI uses outdated product information and does not take current company guidelines into account.
✅ Updated prompt template:
"Create a product text for version 3.0. Use the current terminology, take the revised style guide into account, and refer to the latest product information."
The generated text complies with current company standards and uses the latest information.
In short:
Regularly maintained AI prompts ensure that results remain up to date, consistent, and aligned with the company's requirements.