AI Tutorials

How to Write Your First Useful AI Prompt

A good prompt gives an AI system enough information to understand what you want and how you want the result presented. You do not need complicated terminology to write an effective prompt.

Start by describing the task clearly. Then provide relevant context, specify the desired result and, when useful, give an example or a format to follow.

For example, instead of asking: Summarize this.

Try describing the audience, purpose and desired format. You could ask the AI to summarize a document for a beginner, identify its main ideas and present the result as five concise bullet points.

Practical approach:

• State the task.
• Give the necessary context.
• Specify the output format.
• Add useful constraints.
• Review the result and refine the prompt.

To understand the ideas behind this process, see What Is Prompt Engineering? and Anatomy of a Good Prompt.

How to Use AI to Summarize a Document

AI can help turn a long document into a shorter explanation, but the quality of the result depends on the instruction you provide and the document itself.

Begin by deciding what you actually need from the document. A general summary, key decisions, action items and risks are different tasks and should be requested separately when appropriate.

A practical workflow is:

1. Provide the document or relevant text.
2. Explain the purpose of the summary.
3. Identify the intended audience.
4. Specify the preferred length and format.
5. Ask the AI to distinguish facts from interpretation.
6. Check important details against the original document.

Never assume that a concise AI summary is automatically accurate. Important names, numbers, dates and conclusions should be checked against the source.

Related course lessons: Prompting for Summaries and Transformations and AI for Summarization.

How to Use AI for Research

AI can help with research by organizing questions, explaining unfamiliar concepts, comparing information and helping identify areas that need further investigation.

A useful research workflow separates exploration from verification. Use AI to help understand the subject and structure the investigation, but verify important claims using reliable source material.

For a research task:

• Define the question you are trying to answer.
• Break a broad question into smaller questions.
• Ask the AI to identify important concepts or viewpoints.
• Request sources or references where appropriate.
• Verify important claims independently.
• Record which information came from which source.

AI should assist the research process rather than replace critical evaluation of the underlying information.

Learn more in Prompting for Research and Analysis and AI for Research.

How to Compare AI Tools

Choosing an AI tool based only on popularity can lead to a poor fit. Different tools are designed for different tasks, workflows and users.

Start with the task rather than the tool. Consider what you need to produce, the type of input involved, the required output, privacy requirements and how frequently the tool will be used.

A simple comparison can consider:

• What task the tool is designed to perform.
• Quality and usefulness of its output.
• Ease of use.
• Cost and available limits.
• Privacy and data-handling considerations.
• Integration with your existing workflow.

The best AI tool is not necessarily the most powerful one. It is the one that fits the particular task and constraints.

Related lessons: Choosing AI Tools Wisely and Comparing AI Tools.

How to Build a Simple AI-Powered Workflow

An AI workflow is a repeatable sequence in which AI helps with one or more parts of a task. A useful workflow does not require every step to be automated.

A simple workflow might begin with collecting information, use AI to organize or transform it, and finish with a human review before the result is used.

For example:

1. Collect the relevant information.
2. Give the AI a clearly defined task.
3. Review the generated result.
4. Correct errors or missing information.
5. Use the approved result in the final workflow.

Start with a task that is repetitive and easy to review. Keep a human involved wherever accuracy, judgment or sensitive information matters.

Continue with Prompt Engineering in Real-World Tasks and AI Tools for Productivity.

How to Use AI Responsibly

Using AI effectively also means understanding its limitations. AI systems can produce incorrect information, misunderstand instructions and generate convincing answers that require verification.

Before using an AI-generated result, consider how important accuracy is for the task. Higher-stakes decisions require stronger verification and appropriate human judgment.

Good habits include:

• Verify important factual claims.
• Protect confidential and sensitive information.
• Understand the limitations of the AI tool being used.
• Keep human review for important decisions.
• Do not treat fluent AI output as proof that it is correct.

Responsible AI use is not about avoiding AI. It is about understanding where AI is useful, where it can fail and where human judgment remains necessary.

Learn more in Risks and Responsible Use of Generative AI and AI Tool Safety and Privacy.

Continue Learning with AI From Zero

These practical guides complement the structured AI From Zero course. The course provides the underlying concepts needed to understand modern AI, while the tutorials focus on applying those ideas to practical situations.