What is generative AI?
Generative AI produces new content such as text, images or code based on an input. It uses patterns from its training and information you provide. Its output is a generated suggestion, not automatic proof that every statement is correct.
AN EXAMPLE IN PRACTICE
Where you might encounter it
Your sales team provides verified product features and guidelines for the tone of voice. The AI uses them to draft an easy-to-understand product description. A person checks the technical details, tone and completeness before publication.
Why does this matter for your business?
You can produce useful drafts more quickly. It is particularly helpful for recurring writing tasks with clear source data and a transparent quality review.
How can a draft become a reliable process?
A good prompt defines the task. Add suitable sources and an approval step. For product copy with AI, technical features should come from your product data; do not invent properties that have not been provided.
Frequently asked questions
Is generative AI a search engine?
No. A language model generates answers. An application can also use search, but without that connection an answer is neither up-to-date research nor a verified source.
Can I publish AI-generated text without reviewing it?
That is not a sensible standard process. Check facts, product claims, references and relevance to your offering in particular. You remain responsible for the finished content.
What to keep in mind
- Provide approved source data.
- Check facts and figures before publication.
- Specify the tone, length and format.
Further sources
From NetzTurm Decode. Clear explanations for your business.