Writing effective prompts in Adobe AI Assistant for Acrobat

Prompt engineering involves crafting prompts that guide AI to produce the desired output. Effective prompts enhance the ability of the AI tool to generate succinct and relevant responses of high quality.

Understand prompt engineering

Prompts guide AI tools by providing questions, commands, or statements to generate output with the desired structure, tone, and relevance. Proficient prompt writing is essential to maximize the use of AI Assistant for Acrobat.

Common types of prompts

Here's a list of common types of prompts with examples of how each can be effectively used to achieve specific outcomes with generative AI tools:

Type

Example

Classification of the text

Categorize this document, analysis, blog, report, or review under a specific category, such as marketing or finance and so on.

Sentiment analysis

Is this product or feature review positive or negative?

Summarization

Summarize this analyst report in a few paragraphs.

Rewriting content

Review these instructions and provide them in simple language for beginners.

Information extraction

Find strategic drivers for the company.

Comparison

Compare the performance per quarter and showcase the growth percentage across the last two quarters.

Structure of a prompt

A well-crafted prompt for AI Assistant for Acrobat integrates specific tasks, relevant context, clear expectations, and formatting guidelines to guide the AI to generate the desired outcome. 

Here are components of a prompt used to guide AI Assistant for Acrobat to generate precise output:

Component

Example

The task is the first component of the prompt. It should provide clear directions to the AI Assistant for Acrobat.

Create a product feedback summary.

The context is the second component of the prompt, supplying the necessary information for the AI Assistant for Acrobat to respond appropriately.

Based on recent customer reviews.

(Optional) Highlight expectations to convey response goals.

The summary should identify key themes, overall sentiment, and any recurring issues or praises.

(Optional) Specify a format for the output.

Format the summary to be concise, and present the information in a clear, easy-to-understand manner suitable for a marketing team meeting.

Components of a prompt
Parts of a prompt

When crafting a prompt, think of it as directing a helpful assistant—the more specific, the more consistent the outputs. Embrace experimentation in prompt engineering by varying questions and adding context.

Writing effective prompts

To generate the most informative and useful responses, clearly define your goals, provide relevant context, use clear and concise language, employ examples, outline steps, and build on prior interactions. A prompt includes the following information:

  • The topic.
  • Keywords or phrases associated with the topic.
  • The tone of the response.
  • The target audience.

Below are key considerations and approaches for crafting effective prompts to quickly generate relevant insights.

Be intentional with your prompts

To craft effective prompts, first understand your task and then clearly specify the desired outcome:

  • Understand your task

    Start by clearly understanding your task and its goals. Decide if you need a summary, specific information extraction, or content creation, as this will directly influence your prompt.

  • Specify the desired outcome

    Ensure your prompt clearly specifies the desired outcome. For example, if you need a brief summary, state the requirement explicitly, like "Summarize the three main points in under 150 words." If a different format like a table or bulleted list is needed, make that clear, such as "Format the output as a bulleted list."

Examples

  • Write a blog post for a digital marketing audience in the retail sector on LinkedIn, including a title. Keep it to less than a 4-minute read. Aim for a tone that is warm and engaging yet businesslike and informed. The blog should flow continuously without section headers. It should position the author as admirable, encouraging the audience to share it.
  • Review the provided meeting notes and create a concise summary capturing the essential information, focusing on key takeaways and action items assigned to specific individuals or departments. Use clear and professional language and organize the summary logically with appropriate formatting, such as headings, subheadings, and bullet points. Ensure the summary is easy to understand and provides a comprehensive yet succinct overview of the meeting's content, clearly indicating who is responsible for each action item.

Keep it simple

To enhance clarity and focus in your interactions, keep your prompts simple and break down complex questions into manageable parts:

  • Use clear language

    Use clear, concise language in your prompts and avoid complex sentences or technical jargon unless needed to clarify your intent.

    Example: Extract all statistics related to renewable energy from the document and present them in a bulleted list.

  • Break down complex questions

    Split complex or multifaceted questions into simpler, individual prompts to keep each interaction focused and clear.

    Examples:

    • First, provide an overview of the current global renewable energy landscape. <Type this after you get a response to the above request>
    • Next, analyze the top three renewable energy trends in 2024. <Type this after you get a response to the above request>
    • Finally, predict potential shifts in these trends over the next five years.

Communicate constraints

Specify constraints clearly when communicating. If your request has limitations, like a word count or a focus on specific sections or themes, stating these upfront helps tailor the response accordingly.

Example: Summarize the Methodology section of this paper in 150 words or fewer.

Customize prompts

Tailor prompts to fit your needs. Specify the output's tone, style, and audience, as this context adds depth and improves response quality. Experiment with various lengths, tones, and voices as desired.

Examples:

  • Write an email draft based on the report's findings using a friendly, professional tone aimed at an executive audience.
  • Rewrite the summary of these notes in a manner that is easy for young learners in grades 3-5 to understand. Simplify advanced vocabulary, break down long sentences, explain difficult concepts in plain language, and present the information in a clear, engaging way. Ensure the rewritten text conveys the core ideas of the original text in an age-appropriate manner.
  • Take the provided document text and rewrite it into a clear, grammatically correct version while preserving the original meaning as closely as possible. Correct any spelling mistakes, punctuation errors, verb tense issues, word choice problems, and other grammatical errors.
  • Analyze the document and identify the primary tone and sentiment expressed by the author. Classify the tone as one of the following: Positive, Negative, Neutral, Humorous, Sarcastic, Enthusiastic, Angry, or Informative.

Define desired output format

Specify the desired output format. Clearly indicate if a particular format like paragraphs, bullet points, lists, tables, JSON, or XML adds value. Also, define the style and tone, ranging from formal to casual or persuasive, to align the output with your goals.

Format strategies:

  • Clearly define the needed format, such as bullet points, paragraphs, JSON, or XML.
  • Choose a format suited to the output's use, like data integration or readability.
  • For structured formats, specify essential fields or elements.
  • Experiment with different prompts and outputs to refine the response.

Examples:

  • Analyze customer feedback data and summarize key insights. Format the response as a JSON object with fields for 'TotalFeedbackCount,' 'PositiveCount,' 'NegativeCount,' and 'CommonThemes.'
  • Summarize 2024 financial highlights in a table format.
  • Summarize the top 3 strategies into a brief email for customers.

Improve results with few-shot learning

Few-shot learning enables AI models to predict accurately with few examples, focusing on generalization over memorization. Include examples to direct the AI Assistant for Acrobat's approach. This method is particularly useful for creating creative, analytical outputs or structuring detailed responses.

Examples:

  • Provide a bullet point list of all authors and works cited in this paper, formatted as 'Author's Last Name (Year): Title of publication.' For instance, "Fitzgerald (1925): The Great Gatsby".
  • List all content enclosed in square brackets, e.g., [Sam is typing] should return "Sam is typing".
  • Use a prompt with regular expressions: "Find me content in this document with a regular expression (.∗?)(.∗?)".

Guide with chain-of-thought prompting

Chain-of-thought prompting directs the AI Assistant for Acrobat through sequential reasoning, mimicking human logic to solve problems or answer questions. This method breaks tasks into logical steps, improving AI responses. Effective prompting tips:

  • Outline steps - Present each step as a question or statement leading to the next part of the process. Use cues like "Let’s think step by step," "Consider each aspect one by one," or "Firstly, secondly, finally" to signal logical connections. 
  • Logical flow - Ensure prompts lead the AI Assistant for Acrobat logically toward the solution.
  • Transparency - Prompt the AI Assistant for Acrobat to show its reasoning, creating a clear path to the final decision.

Example: 

 

Given a customer [complaint] about the issues in the installation steps of the build. 

First, identify possible reasons for the issues based on our [installation steps]. 

Next, outline appropriate reasons we can offer the customer, including steps they have to do to remove the software. 

Lastly, draft a final response incorporating these elements.

Expand responses using prompt chaining

Prompt chaining involves an iterative process of prompts and responses, where each new prompt builds upon the AI Assistant for Acrobat's previous response. This method is ideal for creative tasks like narrative generation or brainstorming, allowing ideas to evolve gradually. Unlike chain-of-thought prompting, which offers detailed single-response reasoning, prompt chaining is dynamic and involves multiple interactions over time.

Example:

  • What strategic drivers does [ company ] have that our business unit for enterprise could solve for?
  • Write me some discovery-based questions based on these identified strategic drivers. <Type this after you get a response to the above request>
  • Share more about how [ X] questions should be asked about the healthcare industry. <Type this after you get a response to the above request>

Check for accuracy

Occasionally, the AI Assistant for Acrobat may make mistakes. Always double-check its responses for accuracy, grammar, and style.

Iterate and improve

Use previous responses as a foundation for further interactions with AI Assistant for Acrobat, enhancing its effectiveness over time. Refine prompts to better guide the AI, adding context, clarifying objectives, or asking more specific questions if needed. Crafting effective prompts is a skill that improves with practice, so embrace failures as learning experiences and keep experimenting.

Avoid common mistakes while writing prompts

To optimize the effectiveness of your prompts, avoid these common mistakes:
  • Vagueness. When prompting, use clear language to receive better-quality responses.
  • Requesting inappropriate or unethical content. You are responsible for the content and consequences of your prompts. Always respect local laws, rules, others' rights, and terms of service when using the AI Assistant for Acrobat.
  • Slang, jargon, or informal language. Using informal language may lead to low-quality, inappropriate, or unprofessional responses from the AI Assistant for Acrobat.
  • Conflicting instructions. Prompts containing conflicting information can confuse the AI Assistant for Acrobat, resulting in lower-quality responses.
  • Overcomplicating prompts. Simplify your prompts to ensure clarity for the AI Assistant for Acrobat, focusing on tasks the AI can handle effectively.
  • Assuming prior knowledge. Don't assume that the AI Assistant for Acrobat knows what is provided in the prompt, as this can lead to inaccuracies. Always provide context and set clear expectations.

Responsible AI practices

Here are key practices for responsible AI use:

  • Fairness

    AI prompts should treat all individuals impartially, without bias based on gender, race, sexual orientation, or religion. Ensure your prompts are free from discriminatory language or assumptions.

    Example: Analyze these resumes and rank the candidates based on their qualifications in terms of the number of years in [field], ensuring the analysis is free from gender, race, or age biases.

  • Inclusiveness

    AI systems should embrace diversity and inclusivity. Incorporate inclusive design practices in prompts to avoid unintentional exclusion of any group.

  • Accountability

    Human oversight is essential in AI development. Ensure accountability by overseeing and governing AI processes and taking responsibility for the inputs and outputs generated.

For more information, see Adobe’s commitment to AI ethics.

 Adobe

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