Provide context and details in your prompts

The questions that you ask Gemini for Google Cloud, including any input information or code you want Gemini to analyze or complete, are called prompts. The answers or code completions that you receive from Gemini are called responses.

When you ask Gemini for Google Cloud for help, you should include as much context and specific detail as possible. Because AI-generated responses are based on a vast range of possibilities, it's important for you to be precise. For the best results, your prompts shouldn't exceed 4,000 characters. Here are some ways to provide helpful context and detail in your prompts: - Write your prompt like you're talking with a person. Don't enter only keywords as you might when searching for a document online, but include the kind of detail you'd include when explaining a problem to someone. For example, instead of entering the terms "workload GKE," ask a complete question: "What kinds of workloads does GKE support?" - Describe why you're trying to accomplish a task. Details about what you're trying to accomplish can help Gemini for Google Cloud provide a more useful answer. For example, telling Gemini for Google Cloud that you want to "set up a simple, secure Google Cloud site for hosting a blog" has more helpful details than only asking "how to deploy a website." Because there are often multiple correct ways to accomplish a technical goal, providing Gemini for Google Cloud sufficient context can help ensure a good response. - Ask to include all the parameters in a command. For example, when you ask Gemini Code Assist to generate code functions, you are likely to produce a more useful and detailed response by telling it to "make sure all methods use their required arguments." - Include your level of expertise. It's especially helpful to match your prompt request with your expertise level when you ask for a suggestion. Asking Gemini for Google Cloud to explain a concept or code as if you're an expert programmer–or a novice programmer–can give you different, and more appropriate, results. - For example, to direct Gemini to respond from an expert context, you could prompt it with "create Python code to list all Compute Engine instances. You are an expert software developer using Google Cloud." Similarly, you could ask Gemini for Google Cloud to "explain Kubernetes and its benefits to me in the simplest terms possible." - Include details about products and technologies. If you're looking for answers about a specific product, technology, or technical capability, include that in your prompt. Similarly, specifying a programming language can help you get more relevant responses. If you're unsure about what technologies or products to consider, ask Gemini to compare different options for you. - Break complex problems into multiple requests. Writing separate prompts can help Gemini refine and focus the answers that it gives, helping you move progressively toward a solution.

Created: 7/8/2025

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AI Prompts, ChatGPT, Code Snippets, Prompt Engineering

Google Gemini
https://gemini.google.com

Provide context and details in your prompts

The questions that you ask Gemini for Google Cloud, including any input information or code you want Gemini to analyze or complete, are called prompts. The answers or code completions that you receive from Gemini are called responses.