What is generative AI
Also known as: GenAI, gen AI
Definition
Generative AI is AI that creates new text, images, audio or code from a request. What it writes is a likely draft built from patterns, not a checked fact.
Why it matters
Generative AI speeds up first drafts: product descriptions, replies, posts, summaries and variations.
Common mistakes
Publishing a draft without checking it, as if a fluent text were a checked fact.
Related terms
Worked exampleIllustration
Twenty product descriptions at a fictional neighbourhood bakery
A fictional neighbourhood bakery needs descriptions for 20 products. The products and drafts are invented for this example.
The prompt
The owner writes one prompt with each product's facts, ingredients, weight, storage and "may contain traces of nuts", and the tone she wants.
Three drafts
The tool returns three drafts for the first product in seconds.
The invented word
One draft says "nut free", which the facts contradict.
The fix
She deletes that draft and adds "use only the facts I gave you" to the prompt.
- 1 + 19 = 20
The check
She checks the next 19 drafts against the product sheet before they are published.
The tool saved the typing. The checking stayed with the owner.
Illustration
Generate again
The facts in the prompt
- Flour, eggs, sesame
- Keep in a paper bag
- May contain traces of nuts
- Draft 1A soft sesame challah with a golden crust. Keep it in a paper bag. May contain traces of nuts.Matches the facts
- Draft 2Our sesame challah isnut freeand made for the whole family.Contradicts the facts: may contain nuts
- Draft 3Golden, soft and topped with sesame. Store it in a paper bag. May contain traces of nuts.Matches the facts
One prompt, three drafts, each worded differently. Draft 2 says nut free, which the facts contradict. Press to step through them.
Which drafts need checking
Wording and ideas
Facts and numbers
Low stakes
A post idea, a caption
Use it as a draft
A pastry’s name in a post
Glance at it
High stakes
A reply to an unhappy review
Read it before it goes out
An allergen, a price, a date
Check it against the source
Definition
Generative AI is the part of AI that produces new content in answer to a request, called a prompt: a text, an image, a voice recording or a piece of code. It learned from large amounts of existing text and images, and it writes new combinations of the patterns it learned, one likely piece after another. It does not check facts as it writes, so a draft can contain a detail that sounds right and is false. Chat tools such as ChatGPT, Claude, Copilot and Gemini are the best known examples.
Why it matters
A person still decides what goes out and checks it, because the tool writes what is likely, not what is true. Used that way it saves typing time. Sent unchecked, it can put a wrong price, date or allergen claim in front of a customer.
Improvement tips
- Give the tool the facts, such as ingredients, dates and policies, and tell it to use only those.
- Use it for first drafts, summaries and variations, and have a person check anything that goes to a customer.
- Check prices, dates, legal wording, allergen claims and anything medical or tax related against your own source every time.
- Before you paste work files, check your plan's terms and settings on what happens to what you type.
Common mistakes
- Pasting customer ID numbers, medical details or card details into a public tool.
- Asking for a result without giving the facts, and getting generic or invented details.
- Assuming a draft is entirely new, when it can repeat material from what the tool learned.
Related terms
AI
AI (artificial intelligence) is software that does tasks that used to need a person, such as writing, sorting or predicting, by learning patterns from data.
LLM
An LLM (large language model) is AI trained on masses of text to predict the next piece of a sentence. That is how chat tools write answers, right or wrong.
Prompt
A prompt is the instruction you give an AI tool: the question, the task, the context and the format you want. A clearer prompt gets a more useful answer.
Hallucination
An AI hallucination is an answer an AI model makes up and states with confidence, such as an invented price, rule or source, because it predicts likely words.
Machine Learning
Machine learning is the part of AI where software learns rules from examples instead of being told them, then uses those rules to predict or sort new cases.
Model Training
Model training is how an AI model learns: it sees many examples, checks its guesses against the right answers and adjusts itself until the errors shrink.
Quick check
A generative AI tool writes a product description that says "nut free". What should you do?
Choose an answer
Frequently asked questions
What is generative AI in simple words?
What does "generative" mean here?
What is generative AI good for in a small business?
Do I need to be a designer or a programmer to use it?
Why does the content from my AI tool sound generic?
How do I bring generative AI into my team's work?
Why did the tool invent a detail?
Is what generative AI writes original?
Is generative AI legal to use in a business?
Will generative AI take my business information?
What should I never paste into a public generative AI tool?
Will generative AI replace the people who write for my business?
Sources: Israel Ministry of Justice, Legislation and Legal Counsel (Civil Law), "Opinion: Uses of Copyrighted Materials for Machine Learning", 18 December 2022 (gov.il/BlobFolder/legalinfo/machine-learning/he/18-12-2022.pdf), read 2026-09-25, Anthropic Privacy Center, "Is my data used for model training?", the consumer and commercial articles (privacy.claude.com), read 2026-09-25, Privacy Protection Authority, Amendment 13 questions and answers (gov.il/he/pages/tikun13_qa), read 2026-08-31
Last reviewed: 2026-09-25
I have worked with
- Google for Startups
- House of Business, Sderot Municipality
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- Google for Startups
- House of Business, Sderot Municipality
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- IUCEL
- Resilience & Health Innovation Hub
- International Resilience Institute of Sderot
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