Say it like this
- We're leveraging generative AI to automate content creation.
- Generative AI models have transformed how we approach development.
- The rise of generative AI has created new opportunities and challenges.
Use it at work
Product
- We're adding generative AI to write first drafts of replies.
- The new feature uses generative AI to summarize tickets.
Risk
- Generative AI can make things up, so we check outputs.
- What data is sent to the generative AI provider?
In an interview
- I've built features on top of generative AI APIs.
- How is your team using generative AI?
Don't say this
Generative AI creates new content; classification is a different type of AI task.
Don't mix it up
| Term | What it is | Who writes or uses it | When |
|---|---|---|---|
| generative AI | AI that creates text, images or code | Product, engineering | Chatbots, writing tools |
| AI | General computer intelligence | Everyone | Broad term |
| machine learning | Learning patterns from data | ML engineers | Predictions, models |
Practice
Try it
4 quick exercises
1. Your manager asks what technology your team is exploring. Which sounds most professional?
2. Our new _______ uses generative AI to automatically write code comments.
3. Which sentence uses the term incorrectly?
4. Rewrite this in natural tech English using generative AI: 'We need to use technology that makes new things to help our customer service team work faster.'
Say it out loud
Phrase 1 of 3
"We're leveraging generative AI to automate content creation."
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More about generative AI
Real examples(3)
- in a standup
"Yesterday I integrated a generative AI model into our search feature to improve query understanding."
- in a code review
"This function was partially generated using generative AI, so we need to review it carefully for edge cases."
- in a team meeting
"Our competitors are already using generative AI for customer support, so we should evaluate it for our product roadmap."
More mistakes(2)
Handle with care. Generative AI is often confused with machine learning or AI in general. It specifically refers to models that create new content, not models that classify or predict.
- ✕Generative AI is the same as artificial intelligence.✓Generative AI is a subset of artificial intelligence that focuses on content creation.
Generative AI is a specific category within the broader field of AI.
- ✕We implemented generative AI yesterday.✓We integrated a generative AI model yesterday.
Generative AI is a technology type, not something you directly implement; you implement models or systems based on it.
Other forms(3)
- generative AI noun
"Generative AI is transforming software development."
- generative AI (attributive) adjective
"We deployed a generative AI solution for our customer service team."
- generative AI model noun
"This generative AI model requires significant computational resources."
Often used with(5)
- generative AI model · Used when referring to the specific system or algorithm, as in 'training a generative AI model'
- generative AI tool · Used for software or applications powered by generative AI, like ChatGPT or GitHub Copilot
- leverage generative AI · Common phrase meaning to use or apply generative AI to a business problem
- generative AI capabilities · Refers to what a generative AI system can do or produce
- generative AI ethics · Discusses responsible development and deployment of generative AI systems
Similar words(2)
- generative model · More technical term; often used interchangeably but sometimes refers only to the model without the AI context
- content generation AI · More descriptive but less commonly used in industry conversations
Opposites(2)
- discriminative AI
- rule-based systems
Questions(5)
- What does generative AI mean in software engineering?
- In software engineering, generative AI refers to AI systems that create new content—such as code, documentation, test cases, or designs—rather than analyzing existing data. For example, GitHub Copilot is a generative AI tool that suggests code completions based on patterns it learned during training.
- How do you use generative AI in a sentence at work?
- You can use it as a noun: 'We are integrating generative AI into our pipeline' or 'Generative AI has improved our documentation process.' You can also use it as an adjective before another noun: 'Our generative AI solution automates customer responses.' Avoid using it as a verb directly.
- Is generative AI a formal or informal term?
- Generative AI is neutral in formality. It is appropriate for formal presentations, interviews, technical documentation, and casual team conversations. It is the standard term used in both academic and industry settings.
- How does generative AI differ from machine learning?
- Machine learning is a broad field that includes systems designed to classify, predict, or recognize patterns. Generative AI is a subset that specifically focuses on creating new content. All generative AI systems use machine learning, but not all machine learning systems are generative.
- Why is generative AI important for tech professionals to understand?
- Generative AI is reshaping product development, tool building, and hiring in tech. Understanding it helps you evaluate new technologies, contribute to product strategy, use AI tools effectively, and discuss AI implications in interviews and team discussions.
