# data[].attributes.attachment_link.description
A Comprehensive Overview of Prompt Engineering

# data[].attributes.body
A prompt pattern is a reusable format for crafting prompts. They guide AI to produce accurate and relevant outputs.

This saves you time and improves consistency in your results.

# data[].attributes.body
Share your prompt and the structure you used. Then reflect and comment on which prompt structure delivered the best balance of accuracy, creativity, and clarity?

# data[].attributes.body
Choose a real-world task (from a list below) and try applying at least 3 prompt patterns to it.

Example tasks:

Writing a complaint letter for poor service

Generating ideas for a birthday party on a budget

Rewriting a resume for a marketing job

# data[].attributes.body
Definition: Breaking a complex task into a sequence of prompts where the output of one becomes the input for the next.

Prompt 1: Generate 5 blog titles for an AI ethics podcast.

Prompt 2: Choose the best title and write an episode outline.

Prompt 3: Write the script for Segment 1 based on the outline.

Use case: Content creation workflows, long-form generation, learning modules.

# data[].attributes.body
Definition: Encouraging branching reasoning paths—multiple options are explored, compared, and the best one is selected.

Prompt: List three strategies for improving employee retention. For each one, provide pros and cons. Then choose the most effective and justify your choice.

Use case: Strategic decision-making, comparative analysis, or planning tasks.

# data[].attributes.body
Definition: Sampling multiple reasoning paths and selecting the most consistent output across them.

Prompt: Ask the AI the same question multiple times with slightly varied phrasing. Choose the most frequent or rational answer.

What are the ethical concerns of using AI in hiring decisions? Please explain.

Use case: Tasks requiring reliability or multi-angle perspectives (e.g., ethics, predictions)

# data[].attributes.body
Definition: Encouraging the model to reason step-by-step to reach an answer.

Prompt: A student has 3 apples. She buys 4 more. Then she eats 2. How many does she have left? Explain your reasoning.

Use case: Problem-solving, math, logic, or ethical decision-making scenarios.

# data[].attributes.body
Definition: Providing a few examples (2–3) to guide the AI in generating the desired output.

Prompt:

Rewrite the following sentences to sound more formal:

Informal: ‘Hey, just checking in.’ → Formal: ‘I hope this message finds you well.’

Informal: ‘Got your email.’ → Formal: ‘I acknowledge receipt of your email.’

Use case: When tone, style, or format consistency matters (e.g., professional writing, code generation)

# data[].attributes.body
Definition: Asking the AI to perform a task with no examples provided.
Prompt: Asking the AI to perform a task with no examples provided.

Prompt: Summarise this article in plain English.

Use case: Fast, simple queries like summaries, definitions, or basic instructions.

# data[].attributes.body
Prompt format: “List the costs and resources required to [task or implement technology].”

Example:

"What are the potential costs (financial, time, human resources) of implementing generative AI tools in a small legal practice?"

Use case: Encourages holistic thinking and strategic evaluation.

rompt format: “List the costs and resources required to [task or implement technology].” Example: "What are the potential costs (financial, time, human resources) of implementing generative AI tools in a small legal practice?" Use case: Encourages holistic thinking and strategic evaluation.

# data[].attributes.headline
Strengths and Weaknesses of the Technology

# data[].attributes.subject
Strengths and Weaknesses of the Technology

# data[].attributes.body
Prompt format: “Evaluate the strengths and weaknesses of [technology/tool/AI use case].”

Example:

"Evaluate the strengths and weaknesses of using AI chatbots for university student support services."

Use case: Critical thinking and tech literacy.

# data[].attributes.body
Prompt format: “Explain how to [task] step-by-step.”

Example:

"Explain how to lodge a tax return as an international student in Australia, step-by-step, using simple language."

Use case: Builds instructional clarity and sequencing.

# data[].attributes.body
Prompt format: “Imagine you are in [scenario] and need to [task].”

Example:

"Imagine you are working at an immigration agency, and a client asks about the post-study work visa options in Australia. How would you explain the criteria and steps involved?"

Use case: Encourages contextual awareness and real-world simulation.

# data[].attributes.body
Prompt format: “Act as a [role] and [task].”

Example:

"Act as a marketing consultant and draft a social media strategy for a small eco-friendly skincare brand targeting Gen Z."

Use case: Teaches tone, audience alignment, and domain specificity.

# data[].attributes.body
simplify prompt creation through a structured approach.