Prompt Engineering Literacy

Prompt Engineering Literacy:

Prompt Engineering & the Evolution to Prompt-Gramming:

WHY?

Why do we need to learn prompting?

Generative AI (ChatGPT and all the other missions of AI tools that already exist) will not only be part of our every day life and will replace a lot of old ways of doing things but just like we had to learn how to use a computer and how to operated it, we now need to learn how to communicate effectively with AI going forward.

And yes while AI will become smarter over time we can currently see real problems arising from an uneducated workforce that still for the next few years will need to learn how to properly communicate with AI.

WHAT?

What is prompting and why is it important?

We can view prompting as specific techniques that let's us talk with specific AI models in a way that they can understand us, and give us the correct output. And it is important because we will get the wrong output with certain models if we are not literate enough to understand how communicate with them accordingly.

What is prompt engineering architecture?

There are a lot of different techniques already when it comes to prompting, behind each technique are sitting scientists or researchers that have written a research paper around that specific technique. So these are scientifically proven techniques that work especially well with certain models.

What different types of prompting categories do exist and are all Prompts the same?

No, there are actually many different types of Prompts techniques which you can draw from. Here are some to start you thinking.

Standard Prompt Techniques

Foundational Prompting
Few Shot Prompting
System Prompting
Persona Prompting
Meta Prompting
Format Prompting
Domain specific Prompting
Framework Prompting

Intermediate Prompt Techniques

Hop/Lop Prompting
Reverse Meta Prompting
Chain of Thought Prompting
Tree of Thoughts Prompting
Retrieval-Augmented Prompting
Evaluative & Comparative Prompting
Creative & Ideation Prompting
Multimodal Prompting

Advanced Prompt Techniques

Self Prompting
Reverse-Meta Prompting
Prompt Gramming
Context Engineering
Adversarial Prompting (Red Teaming)
Dynamic & Adaptive Prompting
Agentic Prompting
Rule, PRD & Spec Prompting

Prompt Engineering is the overarching discipline that encompasses all the categories above. It is the systematic process of designing, refining, testing, and deploying prompts to achieve reliable and high-quality outcomes from AI models. A Prompt Engineer uses all these techniques.

What is Prompt-gramming?

Prompt-gramming is a novel approach to coding that leverages the capabilities of AI language models, particularly GPT (Generative Pre-trained Transformer) models, to generate executable code from simple, natural language prompts. This method allows users to create websites, applications, and other coding projects by providing verbal commands or minimal text input, significantly reducing the need for traditional coding skills. Grimoire is a specific implementation of this concept, designed as a custom GPT coding assistant. It offers a suite of tools and features to facilitate prompt-gramming, including:

Coding-focused system prompts: These are tailored to help users generate correct and bug-free code with minimal effort.
Hotkeys: Grimoire includes over 20 hotkeys to streamline common coding tasks, making it accessible for both novice and experienced coders.
Starter projects: It provides numerous example projects, ranging from simple games to complex web applications, to help users learn and apply prompt-gramming techniques.
Interactive guidance: Grimoire offers an interactive README and community support to assist users in navigating and utilizing the tool effectively.

Overall, prompt-gramming with tools like Grimoire represents a significant shift in how coding can be approached, emphasizing creativity and accessibility over traditional programming methods.

What is Prompt drifting?

Is when one prompt works for one large language model, but then doesn’t work in a different large language model.

Guides:

A new prompt engineering architecture for advanced prompt flow engineering:

https://www.youtube.com/watch?v=HALMFU7o9Gc

more technical but must watch - we will break it down over the coming sessions.

Prompting Architecture collection:

https://arxiv.org/pdf/2406.06608

Prompt Gramming Paper:

https://arxiv.org/pdf/2102.07350

You can also find the most up-to-date guides on our new website
https://www.promptingguide.ai/.

https://platform.openai.com/docs/guides/prompt-engineering

Lecture

1 hour lecture that provides a comprehensive overview of prompting techniques, applications, and tools.

Some places where the above has been featured:

Wall Street Journal - ChatGPT Can Give Great Answers. But Only If You Know How to Ask the Right Question
Forbes - Mom, Dad, I Want To Be A Prompt Engineer
Markettechpost - Best Free Prompt Engineering Resources (2023)

Research paper in prompt engineering architecture: Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

https://arxiv.org/pdf/2406.04271

https://github.com/YangLing0818/buffer-of-thought-llm

Best prompt engineering videos I have seen so far:

And more basic and in short:

https://www.youtube.com/watch?v=jC4v5AS4RIM

Improve your prompt with knowing more about Top P & Temperature settings:

https://www.youtube.com/watch?v=o6fAP_OZbmk

Temperature v Top P.pdf

- YouTube

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

What a Good Standard of a Prompt Looks Like?

Before we dive into the categories, we need to understand the fundamental anatomy of a high-quality prompt. A robust prompt is not a single question but a structured request. A great acronym to remember is CRAFT:

C - Context: Provide the background, setting, and any relevant information the AI needs to understand the world of the problem.
R - Role: Assign a specific persona or expert role to the AI. This focuses its knowledge and sets its tone.
A - Action: State the primary verb or task you want the AI to perform. Be explicit: "Analyze," "Generate," "Summarize," "Compare," "Rewrite."
F - Format: Define the desired structure of the output. Use Markdown, XML, JSON, bullet points, tables, etc. This is crucial for predictable, usable results.
T - Target: Define the goal, constraints, and rules. What does success look like? What should be avoided? Who is the audience?

Here is a comprehensive breakdown of 20 key prompt engineering categories, designed for your organization's training program.

The 20 Core Categories of Prompt Engineering:

Part 1: The Building Blocks

1. Foundational Prompting

Definition:

This is the most basic form of interaction—the act of giving a direct instruction or asking a question. It's the starting point for all prompt engineering, often a single, unstructured command.

Associated Techniques:

Zero-Shot Prompting (asking for something the model has never been explicitly trained on).

Example Prompt:

What is the capital of Mongolia?

2. System Prompting

Definition:

This involves setting the "constitution" or high-level instructions for an AI's behavior throughout an entire session or for a custom GPT. It operates in the background, guiding every subsequent response. It's the ultimate "Role" in the CRAFT framework.

Associated Techniques:

Persona Prompting, Rule Prompting.

Example Prompt (for a custom GPT's instruction field):

You are a meticulous and helpful code reviewer.
Your primary goal is to identify potential bugs, suggest performance improvements, and ensure all code adheres to the PEP 8 style guide.
You will never write new code yourself, only critique and suggest modifications to the user's provided code.
Your tone is constructive and educational, never critical or demeaning.

3. Persona Prompting

Definition:

A more specific, in-conversation application of assigning a role. Unlike a system prompt, it can be changed from prompt to prompt to get different perspectives on a problem.

Associated Techniques:

Role-playing, expert simulation.

Example Prompt:

Act as a seasoned venture capitalist. I am going to pitch you a business idea for a drone-based delivery service for coffee. Ask me three critical questions you would ask before considering an investment.

4. Format Prompting

Definition:

Explicitly directing the AI to structure its output in a specific, machine-readable or human-readable format. This is critical for data processing, application integration, and consistency.

Associated Techniques:

XML, Markdown, JSON formatting.

Example Prompt:

Analyze the following customer feedback:
"The app is great, but it crashes on startup sometimes, and the UI feels a bit dated."
Provide your analysis in a JSON object with three keys:
"sentiment" (positive, neutral, or negative), "bug_report" (a string describing the bug), and "feature_request" (a string describing the user's request).

5. Rule, PRD & Spec Prompting

Definition:

This category focuses on providing a strict set of constraints, rules, or specifications, much like a Product Requirements Document (PRD). It's used to heavily guide the AI's output, leaving little room for creative deviation. It's essential for tasks requiring high precision.

Associated Techniques:

Constraint-based prompting.

Example Prompt:

Generate three taglines for a new brand of running shoes called 'Momentum'.
Rules:
1. Each tagline must be exactly 3 words long.
2. Must contain the word "Go" or "Fast".
3. Must not use the word "running".
4. The tone must be motivational and energetic.

Part 2: Advanced Techniques & Frameworks

6. Framework Prompting

Definition:

Employing a structured, multi-step reasoning process to guide the AI towards a more accurate and well-reasoned answer. Instead of asking for the answer directly, you ask the AI to "show its work."

Associated Techniques:

Chain-of-Thought (CoT), Tree of Thoughts (ToT), Self-Consistency. The ToT example you provided is a perfect illustration of this as a multi-prompt framework.

Example Prompt (Chain-of-Thought):

Question:
A coffee shop has 5 types of pastries.
They sell 15 of each type every day at a price of $3 per pastry.
If their daily cost for ingredients is $75, what is their total daily profit?
First, work out the total number of pastries sold.
Then, calculate the total revenue.
Finally, calculate the profit by subtracting the costs from the revenue.
Provide the final answer.

7. Agentic Prompting

Definition:

This advanced technique involves instructing the AI to act as a "conductor" or "central intelligence" that simulates and manages a team of specialized AI agents. Each agent has a unique role and persona, and they collaborate to solve a complex problem.

Associated Techniques:

Multi-agent systems, Mixture of Experts (MoE), collaborative problem-solving. The "Professor Synapse" and "Central Intelligence" prompts you shared are prime examples.

Example Prompt (Simplified Agentic Setup):

You are the Project Manager for a new product launch.
Your task is to develop a launch strategy.

To do this, you will simulate a meeting between three expert agents:

1. **Marketing Maya:** An expert in digital marketing and social media campaigns.
2. **Sales Steve:** An expert in sales funnels and B2B outreach.
3. **Finance Fiona:** An expert in budget allocation and ROI analysis. Initiate a discussion between them. Have them debate the best way to allocate a $50,000 launch budget. Summarize their final, agreed-upon strategy.

8. Self-Prompting

Definition:

Designing a prompt that instructs the AI to generate its own subsequent prompts or reflective questions to guide its reasoning process. It creates an inner monologue that improves the final output.

Associated Techniques:

ReAct (Reason and Act), Self-Correction, Reflective models.

Example Prompt:

You are a research assistant tasked with writing a brief on the impact of remote work on employee productivity. Follow this process:

1. **Reflect:** Start by asking yourself, "What are the key arguments for and against remote work's impact on productivity?"

2. **Plan:** Based on your reflection, create a bullet-point outline for the brief.

3. **Execute:** Write the brief based on the outline you generated. Begin by showing me your reflection and plan before you write the final brief.

9. Prompt Gramming (Prompt Programming)

Definition:

As defined in your guide, this is the practice of using natural language prompts to generate executable code. It treats the prompt as a high-level programming language and the LLM as the compiler.

Associated Techniques:

Code generation, scripting automation.

Example Prompt:

// Language: Python
// Task: Create a function called 'calculate_average' that takes a list of numbers as input.
// Logic: The function should handle empty lists by returning 0. Otherwise, it should return the average of the numbers in the list. // Output: Provide only the complete, executable Python code with docstrings.

10. Context Engineering

Definition:

The strategic management of the information within the AI's limited context window. This includes summarizing long conversations, injecting relevant data at the right time, and pruning irrelevant details to prevent the model from "forgetting" key instructions.

Associated Techniques:

Sliding window, summarization, Retrieval Augmented Generation (RAG).

Example Prompt (for an ongoing chat):

[System Instruction] Let's pause.
Before we continue, please provide a one-paragraph summary of our conversation so far, focusing on my primary goal (to build a marketing plan) and the three key strategies we have discussed.
This will be our new working context.

Part 3: Meta and Specialized Categories

11. Meta Prompting

Definition:

Prompting about prompting. This involves asking the AI to analyze, improve, or generate prompts for a specific task. It uses the AI's own knowledge to enhance your ability to communicate with it.

Associated Techniques:

Prompt optimization, prompt generation.

Example Prompt:

I need to write a prompt to get an AI to generate a creative short story for a 10-year-old.
My current prompt is "Write a story."
This is too simple.
Analyze my goal and generate 3 improved, detailed prompts that include elements like character, setting, conflict, and a moral lesson.

12. Reverse-Meta Prompting

Definition:

A forensic technique where you provide the AI with a desired output and ask it to reverse-engineer the most effective prompt that could have generated it. This is excellent for learning and replicating complex, high-quality results.

Associated Techniques:

Deconstruction, prompt analysis.

Example Prompt:

I am providing you with a high-quality product description below.
Analyze its style, tone, structure, and key selling points.
Based on your analysis, construct the ideal prompt that a marketing expert would have used to generate this exact text.
[Paste the target product description here]

13. Multimodal Prompting

Definition:

This category involves prompts that include or request non-textual information, such as images, audio, or video. The prompt must instruct the AI on how to interpret the non-text input or how to generate a non-text output.

Associated Techniques:

Multimodal CoT, Visual Question Answering (VQA).

Example Prompt (with an image):

[Image of a complex flowchart is uploaded]
Analyze the attached flowchart.
Describe the process it illustrates in a step-by-step list.
Then, identify any potential bottlenecks or inefficiencies in the workflow and suggest one improvement.

14. Adversarial Prompting (Red Teaming)

Definition:

The practice of intentionally creating prompts designed to test the limits, biases, and safety guardrails of an AI model. This is used to identify vulnerabilities, from generating harmful content ("jailbreaking") to revealing biases in the training data.

Associated Techniques:

Prompt injection, bias testing, security auditing.

Example Prompt (Testing for Bias):

Generate two short professional biographies.
1. A biography for a doctor named John.
2. A biography for a nurse named Brenda.
Analyze the language used for both and report any differences in perceived authority or competence.

15. Dynamic & Adaptive Prompting

Definition:

A conversational strategy where the prompt itself contains commands to alter the AI's behavior or goals mid-conversation. This creates a flexible, user-driven interaction rather than a static one. The Professor Synapse prompt with /settings and /new commands is a perfect example.

Associated Techniques:

Command-based interaction, goal updating.

Example Prompt:

You are a fitness planner.
Our goal is to create a 3-day workout plan for me.
Start by suggesting a plan for Day 1. Commands I can use:
/update_goal: Change the overall goal (e.g., from weight loss to muscle gain).
/add_constraint: Add a constraint (e.g., no jumping exercises).
/regenerate: Discard the last suggestion and try again. Begin.

16. Retrieval-Augmented Prompting

Definition:

This prompt is specifically designed to work with a Retrieval Augmented Generation (RAG) system. The prompt instructs the AI to first retrieve information from a specified knowledge base (like a set of company documents or a database) and then use that retrieved information to formulate its answer.

Associated Techniques:

RAG, knowledge grounding.

Example Prompt:

Using the provided internal technical documentation (KB-v2.3), answer the following question:

What is the standard procedure for deploying a hotfix to the production server during business hours?

Do not use your general knowledge.

17. Domain-Specific Prompting

Definition:

The art of tailoring prompts with the specific jargon, formats, and standards of a particular professional field (e.g., legal, medical, financial, marketing). A good domain-specific prompt uses the language of that domain's experts.

Associated Techniques:

Expert mimicry, terminology injection.

Example Prompt (Legal Domain):

Act as a paralegal.

Review the following clause from a Non-Disclosure Agreement.

Identify and extract any language that could be considered ambiguous or overly broad regarding the definition of "Confidential Information."

Present your findings as a bulleted list with direct quotes from the clause and your reasoning for each. [Paste legal clause here]

18. Evaluative & Comparative Prompting

Definition:

This technique focuses on prompting an AI to act as an impartial judge. It requires setting up clear criteria, rubrics, and comparison frameworks to ensure the evaluation is fair, detailed, and well-supported.

Associated Techniques:

A/B testing, rubric-based analysis, scoring.

Example Prompt:

You are a consumer technology reviewer. Compare the iPhone 15 Pro and the Samsung Galaxy S24 Ultra.

Evaluate them based on the following five criteria, assigning a score from 1-10 for each:

1. Camera Quality (especially in low light)

2. Battery Life (under heavy usage)

3. Processing Speed (for gaming)

4. Display Quality (brightness and color accuracy)

5. Value for Money Present your findings in a Markdown table and conclude with a final recommendation for a user who prioritizes photography.

19. Creative & Ideation Prompting

Definition:

In contrast to task-oriented prompts, this category aims to maximize the AI's creativity and divergent thinking. Prompts are often more open-ended, metaphorical, or abstract to encourage novel ideas and brainstorming.

Associated Techniques:

Brainstorming, SCAMPER method, analogical reasoning.

Example Prompt:

Imagine a world where gravity is not a constant, but a resource that can be mined and traded. Brainstorm five potential societal consequences of this reality. Think about technology, social structure, and a new type of crime that might emerge.

20. Prompt Engineering (The Discipline)

Definition:

Finally, Prompt Engineering itself is the overarching discipline that encompasses all the categories above. It is the systematic process of designing, refining, testing, and deploying prompts to achieve reliable and high-quality outcomes from AI models. A prompt engineer uses all these techniques as tools in their toolkit.

Associated Techniques:

All of the above.

Example (A Prompt Engineer's Workflow):
A prompt engineer doesn't just write one prompt.

They might:

Start with a Foundational Prompt.
Refine it with a clear Persona and Format.
Use Meta Prompting to ask the AI how to improve it further.
Test it with Adversarial Prompting to find weaknesses.
Embed it within a Framework like ToT for complex reasoning.
Deploy it with a System Prompt in a final application.

Getting Started with Prompt Crafting

This guide is designed to help you become more effective at using AI tools like Microsoft CoPilot. Whether you're just getting started or already using them in your daily work, these principles and techniques will help you get better results.

Who Should Use This Guide

This guide is for everyone in EPSA, whether you are in engineering, marketing, sales, operations, leadership, or somewhere else and want to get better results from AI without needing technical expertise.

Why Prompting Is a Must-Have Skill

Generative AI will become part of everyday life, replacing many traditional workflows. Just as we had to learn how to use computers, we now need to learn how to communicate effectively with AI.

What Is Prompt Engineering?

Prompt Engineering is about teaching the AI to think clearly by talking to it in a way that it can understand, with clear, specific, and intentional prompts.

Think of your prompt like giving directions: the more precise you are, the more likely the AI will take you where you want to go.

This is important because AI always responds - it doesn't mean it is always right or meeting your needs. Imagine asking a colleague to “buy it now”. While they may buy 'something', without context, who knows whether the item they buy is what you want or even how much you wanted to spend! In the AI world, Context is key!

Remember: In most cases where AI gives poor output, the issue isn't the AI model. It's the prompt!

Anatomy of a Great Prompt (CRAFT Framework)

First we need to understand the fundamental anatomy of a high-quality prompt. A robust prompt is not a single question but a structured request. A great acronym to remember is CRAFT:

C – Context: Background and relevant info. This helps the AI understand the problem.
R – Role: Assign a persona or expert role. This focuses the AI knowledge and sets the tone.
A – Action: What you want the AI to do. Be explicit: “Analyse”, “Generate”, “Summarise”, “Compare”, “Rewrite”.
F – Format: Define the structure of the output. For example, bullet points, 1-2 sentences, short paragraph, a table, etc.
T – Target: Define the goals, constraints and audience. What does success look like? What should be avoided?

Example One

Weak Prompt: Summarise the meeting notes.

versus

CRAFTed Prompt:

(C) I have attached the meeting notes from our quarterly project review.
(R) Act as a senior project manager.
(A) Summarise the key decisions made, the action items assigned (with deadlines and owners), and any outstanding risks identified.
(F) Present this summary in a clean, professional email format.
(T) The target audience for this email are the project team members who were present at the meeting.

Example Two

Weak Prompt: Write an announcement for the sales team about the new CAT Power Pro generator series

versus

CRAFTed Prompt:

(C) We are launching the new "CAT Power Pro" generator series for our small business clients.
(R) Act as the Vice President of Retail Sales.
(A) Write an internal memo to the sales team about this launch.
(F) Format the output as a memo with a subject line and a few key bullet points.
(T) The goal is to inform and motivate the team with a confident and inspiring tone.

You could even go further with Example 2 (more context is always better) and say:

Act as the Vice President of Retail Sales for Caterpillar. Your task is to draft a motivational and informative internal memo to the entire retail sales team about our new line of portable power generators, the "CAT Power Pro" series, which is launching next quarter. These generators are designed for small and medium-sized business clients who need reliable backup power. The goal of the memo is to equip the sales team with the core value propositions of the new series and to energise them for the upcoming product launch. The tone should be authoritative, confident, and inspiring. Please format the output as a memo with a clear subject line, a brief introduction, three to four key talking points presented as bullet points, and a concluding paragraph with a clear call to action.

C - Context: Provide the background, setting, and any relevant information the AI needs to understand the world of the problem.

R - Role: Assign a specific persona or expert role to the AI. This focuses its knowledge and sets its tone.

A - Action: State the primary verb or task you want the AI to perform. Be explicit: "Analyse," "Generate," "Summarise," "Compare," "Rewrite."

F - Format: Define the desired structure of the output. Use bullet points, tables, etc. This is crucial for predictable, usable results.

T - Target: Define the goal, constraints, and rules. What does success look like? What should be avoided? Who is the audience?

Weak Prompt:

"Write an announcement for the sales team about the new CAT Power Pro generator series."

CRAFT Prompt:

Context: We are launching the new "CAT Power Pro" generator series for small business clients.

Role: Act as the National Sales Manager.

Action: Write an internal memo to the sales team announcing this launch. Make it comprehensive, visually structured, and highly engaging.

Format:

-Use a professional memo style with subject line, date, and sender details.

-- Start with a strong introduction explaining the significance of the launch.

-- Include at least 3 sections with headings (e.g., Product Highlights, Sales Opportunities, Next Steps).

-- Provide 6–8 bullet points under key sections.

-- Add a comparison table of key specs or benefits.

-- Include a short motivational tagline and a call to action.

-- Use a confident, inspiring tone.

-- Optionally, include a simple text-based chart or diagram to illustrate market opportunity or product positioning.

Target: The goal is to inform, energise, and equip the sales team to promote this product effectively.

Standard Prompt Techniques

Foundational Prompting

This is the simplest form of AI prompting: give a direct instruction or ask a question. It’s often unstructured and doesn’t include context, role, or formatting. It’s a great starting point for basic tasks. It's the starting point for all prompt engineering, often a single, unstructured command. Use for simple or well-understood tasks where context is obvious.

Examples:

What is the capital of Mongolia?
Summarise this customer support ticket in 3 bullet points.
Translate this sentence into French.

Also known as: Zero-Shot Prompting

Few Shot Prompting

This is when you provide one or more examples to guide the model. Use it when the task involves structure, tone, or formatting that the model might not infer on its own.

Example:

Here's one great follow-up email. Now write another based on this new situation…

Persona Prompting

This technique assigns a specific role or point of view to the AI for a single prompt. Unlike system prompting, it’s flexible and can be changed from one prompt to the next. Use when the model needs to adopt a specific tone, expertise level, or perspective.

Examples:

Act as a seasoned venture capitalist. I’ll pitch you a drone-based coffee delivery service. Ask me three critical questions before considering investment.
You are a brand copywriter. Rewrite this paragraph to sound more confident and modern.
Act as a senior project manager. Summarise the meeting notes with key decisions, action items, and risks in a professional email format. (CRAFT: R, A, F, T)

Also known as: Role prompting; Expert simulation

System Prompting

System prompts set the overall behaviour and boundaries for the AI across a session or within a custom GPT. They act like a constitution: defining tone, role, and rules that persist throughout the interaction. Use to control tone, format, length, or behavior from the beginning.

Example:

You are a meticulous and helpful code reviewer. Your primary goal is to identify potential bugs, suggest performance improvements, and ensure all code adheres to the PEP 8 style guide. You will never write new code yourself, only critique and suggest modifications to the user's provided code. Your tone is constructive and educational, never critical or demeaning. (CRAFT: R, F, T)

Also known as: Instruction prompting or Behavioural prompting

Format Prompting

This technique tells the AI exactly how to structure its output - whether it’s a list, table, paragraph, Markdown, or other format. It’s essential for consistency and usability.

Examples:

Analyse this customer feedback and return a JSON object with sentiment, bug report, and feature request.
Write a summary in three bullet points, each under 20 words.
Format the output as a memo with a subject line and key points. (CRAFT: F)

Also known as: Output formatting or Structured prompting

Domain-Specific Prompting

These prompts are tailored to a specific field or business function—like marketing, sales, operations, or leadership. They include relevant context, terminology, and goals. Use when task success depends on domain-specific context or past conversation history.

Examples:

You are a logistics coordinator. Rewrite these instructions so they’re clear and step-by-step for new hires.
You are a strategic account executive. Write a follow-up note after a discovery call with 1 recap, 2 insights, and 1 CTA.
You are a leadership coach. Share three frameworks for managing competing priorities. (CRAFT: R, A, F, T)

Also known as: Functional prompting or Industry-specific prompting

Framework Prompting

Framework prompting uses structured models or templates—like CRAFT, SWOT, or STAR—to guide the AI’s response. It helps ensure clarity, completeness, and alignment with best practices.

Examples:

Use the CRAFT framework to write a prompt for summarising a quarterly review meeting.
Apply the STAR method to describe a challenging project you led.
Use SWOT analysis to evaluate this new product idea.

Also known as: Template prompting or Structured reasoning prompting

Meta Prompting

Meta prompting involves asking the AI to reflect on or improve its own responses. It’s useful for refining outputs, generating variations, or evaluating prompt quality.

Examples:

Review your previous response and suggest three ways to improve clarity and tone. (CRAFT: F, T)
Generate five variations of this prompt and rank them by effectiveness. (CRAFT: F, T)
What assumptions did you make in your last answer?

Also known as: Prompt reflection or Self-evaluation prompting

Role Based Prompt Examples

Operations

Act as a process improvement analyst. Review the following workflow and suggest three ways to reduce manual steps. Tone: Analytical, concise
Act as an operations manager. Based on the data below, identify any scheduling conflicts and recommend an optimised shift plan. Tone: Objective, action-oriented
Act as a logistics coordinator. Rewrite these internal instructions so they're clear, step-by-step, and easy to follow for new hires. Format: Ordered list

Customer Experience

You are a conversion copywriter. Rewrite the following landing page headline to make it more urgent, specific, and benefit-driven. Provide three options. Tone: Punchy, persuasive
You are a content strategist. Turn this blog post into a three-post LinkedIn carousel script with a hook, a breakdown, and a CTA. Format: Slide-by-slide copy outline
You are a brand voice expert. Review this homepage and suggest two changes to make it more consistent with a warm, authoritative tone. Tone: Editorial

Executive Assistant

I am an executive administrator to a general manager. Our newly formed team now consists of content marketers, digital marketers, and product marketers. We are gathering for the first time at a three-day offsite in Bayswater, WA. Plan activities for each day that include team bonding activities and time for deeper strategic work. Create a sample agenda for me.

Sales

Act as an outbound strategist. Write a LinkedIn message to a VP of Finance at a mid-sized SaaS company. Make it conversational, relevant, and end with a question. Tone: Conversational, focused
Act as a sales coach. Based on this call transcript, identify three missed opportunities and suggest a better framing of the product's value. Tone: Constructive, direct
Act as a strategic account executive. Write a follow-up note after a promising discovery call. Include 1 recap line, 2 insights, and 1 CTA. Format: Structured email outline
Act as a Sales Support Coordinator. Follow up on a rental quote sent to [Client Name] from [Client Company] two days ago. Draft a short, friendly, and professional message to send in a direct chat to the Sales Representative, [Sales Rep Name], which they can then forward or use. Check if the client has reviewed the quote for the [Equipment Type], ask if they have any questions, and reiterate our availability to discuss it further.

Management

You are a leadership coach. A team lead is struggling with prioritisation. Share three frameworks they can use to manage competing requests. Tone: Supportive, instructive
You are a department head. Draft a message to your team acknowledging recent tension and outlining next steps to restore alignment. Tone: Empathetic, confident
You are an executive preparing for a board update. Summarize your top three metrics, growth levers, and open risks in under 150 words. Format: Bulleted or block-style summary

Prompt AI's on how many tokens they have already used this far to understand how many tokens you still have left (if they don't have a token counter feature like Google AI Studio has:

Prompt:
Please give me a rough calculated estimate of tokens used so far in this conversation (based on the texNength of all our exchanges)

Prompt Optimiser Prompt structure for 10x better outputs:

Prompt Structure:

Task context
Tone context
Background data, documents, and images
Detailed task description & rules
Examples
Conversation history
Immediate task description or request
Thinking step by step / take a deep breath
Output formatting
Prefilled response (if any)

Paste this below into any AI to optimse your prompt or build yourself a GPT or bot or agents with this below prompt:

-------------------------------------
User:

<Task context>
You will be acting as an Al career coach named Joe created by the company AdAstra Careers. Your goal is to give career advice to users. You will be replying to users who are on the AdAstra site and who will be confused if you don't respond in the character of Joe.

</Task context>

<Tone context>
You should maintain a friendly customer service tone.

</Tone context>

Here is the career guidance document you should reference when answering the user: <guide>[{DOCUMENT})</guide>

</Background data, documents, and images>

<Detailed task description & rules>
Here are some important rules for the interaction:

Always stay in character, as Joe, an Al from AdAstra careers
If you are unsure how to respond, say "Sorry, I didn't understand that.

Could you repeat the question?"

- If someone asks something irrelevant, say, "Sorry, I am Joe and I give career advice. Do you have a career question today I can help you with?"
</Detailed task description & rules>

Here is an example of how to respond in a standard interaction:

User: Hi, how were you created and what do you do?

Joe: Hello! My name is Joe, and I was created by AdAstra Careers to give career advice. What can I help you with today?
</Some example>

</Examples>

<Conversation history>
Here is the conversation history (between the user and you) prior to the question. It could be empty if there is no history:

[[HISTORY}}
</history>

Here is the user's question: <question> [[QUESTION}} </question>

</Conversation history>

How do you respond to the user's question?

</Immediate task description or request>

Think about your answer first before you respond.

Put your response in
<response> </response>

tags.
<Output formatting>

Assistant (prefill): {{response}}

-------------------------------------

Basic Prompting:

Prompt iteration example - Use case: Plan agendas (offsite, meetings, and more)
You’re planning a three-day offsite meeting. To build an agenda, you brainstorm with Gemini Advanced.

You type:
• Persona

• Task

• Context

• Format

Example Prompt:

I am an executive administrator to a team director. Our newly formed team now consists of content marketers, digital marketers, and product marketers. We are gathering for the first time at a three-day offsite in Washington, DC. Plan activities for each day that include team bonding activities and time for deeper strategic work. Create a sample agenda for me.

CRAFT PROMPTING:

C - Context: Provide the background, setting, and any relevant information the AI needs to understand the world of the problem.
R - Role: Assign a specific persona or expert role to the AI. This focuses its knowledge and sets its tone.
A - Action: State the primary verb or task you want the AI to perform. Be explicit: "Analyse," "Generate," "Summarise," "Compare," "Rewrite."
F - Format: Define the desired structure of the output. Use Markdown, XML, JSON, bullet points, tables, etc. This is crucial for predictable, usable results.
T - Target: Define the goal, constraints, and rules. What does success look like? What should be avoided? Who is the audience?

Example:

Weak Prompt: "Summarize the meeting notes."
CRAFTed Prompt: "(C) I have attached the meeting notes from our quarterly project review. (R) Act as a senior project manager. (A) Summarize the key decisions made, the action items assigned (with deadlines and owners), and any outstanding risks identified. (F) Present this summary in a clean, professional email format. (T) The target audience for this email is the project team members who were present at the meeting."

Another example:

C - Context:
R - Role:
A - Action:
F - Format:
T - Target:

Week Prompt Example:

"Write an announcement for the sales team about the new CAT Power Pro generator series."

CRAFT Prompt Example:

(C) We are launching the new "CAT Power Pro" generator series for our small business clients. (R) Act as the Vice President of Retail Sales. (A) Write an internal memo to the sales team about this launch. (F) Format the output as a memo with a subject line and a few key bullet points. (T) The goal is to inform and motivate the team with a confident and inspiring tone.

---

(C) We are launching the new "CAT Power Pro" generator series for our small business clients.
(R) Act as the Vice President of Retail Sales.
(A) Write an internal memo to the sales team about this launch.
(F) Format the output as a memo with a subject line and a few key bullet points.
(T) The goal is to inform and motivate the team with a confident and inspiring tone.

---

Easy to copy paste:

We are launching the new "CAT Power Pro" generator series for our small business clients. Act as the Vice President of Retail Sales. Write an internal memo to the sales team about this launch. Format the output as a memo with a subject line and a few key bullet points. The goal is to inform and motivate the team with a confident and inspiring tone.

Or better example that has more context (More Context is always King):
Act as the Vice President of Retail Sales for Caterpillar. Your task is to draft a motivational and informative internal memo to the entire retail sales team about our new line of portable power generators, the "CAT Power Pro" series, which is launching next quarter. These generators are designed for small and medium-sized business clients who need reliable backup power. The goal of the memo is to equip the sales team with the core value propositions of the new series and to energize them for the upcoming product launch. The tone should be authoritative, confident, and inspiring. Please format the output as a memo with a clear subject line, a brief introduction, three to four key talking points presented as bullet points, and a concluding paragraph with a clear call to action.
-------

Some More Examples:

Before (in a simple, plain box):
"Summarize the meeting notes."

After (in a more prominent, highlighted box):
"Act as a senior project manager. Based on the attached meeting notes, summarize the key decisions, action items with owners and deadlines, and outstanding risks. Format this as a professional email for the project team. The goal is get good overview of the of what was discussed in the meeting"

Find your role and the Microsoft App you most likely use a lot to then search in the further below for your CRAFT Prompt Templates:

🛠️ Copilot in Word and Excel for Technical Documentation and Analysis

Ideal for engineers, technicians, and technical specialists who need to draft reports, analyse data, and maintain technical documentation:

Service Technician - Mechanical / Electrical / Refrigeration
Workshop Technician (Mechanical / Electrical)
Product Engineer (Electrical / Mechanical)
Commissioning Technician
Mechanical / Electrical Engineer
Principal Engineer
Senior Systems & Network Engineer
Draftsperson
Application Controls Engineer
Trades Assistant / Apprentice Electrical
Project Technician Electrical
Quality & Technical Engineer

📅 Copilot in Outlook and Teams for Communication and Scheduling

Useful for administrative and support roles to manage calendars, coordinate meetings, and streamline communications:

Branch Administrator / Support
Trades Assistant
Sales Support Coordinator / Specialist
Facilities and Warehouse Coordinator
Finance Assistant
Rental Connectivity Coordinator
Interim Workshop Coordinator
Service & Systems Administrator / Administrator
Inventory Administrator / Coordinator / Manager / Operations Manager
Procurement Administrator
Marine After Sales Technical Support
Marine Product & Technical Support Expert
Marketing Coordinator
Customer Experience Coordinator
Administrative Assistant
After Sales Product Technical Support
Parts and Service Coordinator

📊 Copilot in PowerPoint and Excel for Presentations and Sales Tracking

Best suited for sales and marketing professionals who prepare client presentations, track KPIs, and analyse market data:

Sales Representative / Administrator
Retail Power Representative / Sales Team Lead
Sales Specialist (Industrial / Electric Power & Industrial Engines)
Industrial Engines Rep Sales Team Leader
Marketing Specialist / Coordinator
National Business Development Manager Rental Solutions
National Sales Representative Marine
Oil & Gas Engines Representative Sales Team Leader

🧭 Copilot in Word, Excel, PowerPoint for Strategic Planning and Reporting

Ideal for leadership, management, and executive roles to develop strategies, manage teams, and report performance:

Branch / Project / Operations / Engineering / Payroll / Commercial Managers
Business Development / Senior Business Development Managers
Executive Assistants (HR & HSEQ / Managing Director & CFO)
General Managers (Engine Solutions / HSEQ / Human Resources / Rental Solutions)
Heads of Business Development / Customer Experience / IT / Tendering and Proposals
Managing Director / Chief Financial Officer
Project Management Office Director / Delivery Manager / Controller
Senior Project Manager / Controller / Manager Finance Operations & Controls
Financial Planning & Analysis Manager / Analyst / Accountant
Corporate Accounting Manager / Group Financial Controller
Marketing Communications & Operations Manager
National Sales Manager Engine Solutions
National Business Growth Manager Marine
Senior Manager Corporate Finance and Commercial
Solutions Group Engineering Manager
Profit Enhancement Manager - Rental

📈 Copilot in Excel for Financial Analysis and Budgeting

Focused on finance professionals who handle budgets, forecasts, and financial reporting:

Finance Assistant / Manager / Accountant
Financial Planning & Analysis Manager / Analyst
Senior Accountant / Accounts Payable Officer
Payroll Manager / Officer
Corporate Accounting Manager
Group Financial Controller
Treasury, Risk & Insurance Manager

🚚 Copilot in Excel and Teams for Operations and Inventory Management

Useful for logistics and operations roles to manage stock levels, coordinate supply chains, and track performance:

Storeperson
Inventory Administrator / Coordinator / Manager / Operations Manager
Warehouse and Logistics Supervisor
Operations Manager / Operations & Maintenance Manager (East / West)
Rental Projects Delivery Supervisor
Rental Administration & Sales Solutions Manager

CRAFT Prompt Examples per role group and app to copy/paste into your Prompt Gallery:

PROMPT TEMPLATES:

Product Engineer: Create a Technical Specification Document
Copilot in Word

Weak Prompt:
Write a detailed document describing a new mobile generator’s features, including power output, engine details, enclosure, control system, and fuel system, in a professional format for a technical library.

CRAFT Prompt:
Act as a Product Engineer for Energy Power Systems Australia (EPSA) CAT. Based on the following key parameters, create a comprehensive technical specification document for a new mobile generator set, model [e.g., XQ375]. The document must include sections for the generator's electrical characteristics (output power rating in kVA, 230V/50Hz, power factor), engine specifications ([e.g., CAT C13]), enclosure details (sound attenuation level, dimensions, weight), control system overview, and fuel system (tank capacity, consumption rates at 50/75/100% load). Ensure it references compliance with AS/NZS 3000 and ISO 9001:2015. Format this as a formal, client-facing document, ready for our technical library. Suggest a filename: EPSA_Engineering_TechSpec_[XQ375]_[yyyymmdd]_v1.docx.

Commissioning Technician: Generate a Site Acceptance Test (SAT) Report
Copilot in Word

Weak Prompt:
Create a report summarizing the commissioning tests for a generator, including test results, safety checks, and sign-off sections, in a professional format.

CRAFT Prompt:
You are a Commissioning Technician for EPSA. I have just completed the commissioning of a [Generator Model] at the [Client Name] site for [Project ID]. Using the following raw test data, generate a formal Site Acceptance Test (SAT) Report. The data includes: [Paste raw data here, e.g., "Insulation Resistance: >100 MOhm. Phase Rotation: Correct. Voltage/Frequency checks: Stable at 230V/50Hz. Load Test: 1hr at 100% load, all parameters nominal. Alarms tested: Low oil pressure, high coolant temp confirmed working."]. Structure the report with a cover page, a summary of works, a table of the final test results, a list of verified safety functions, and a sign-off section for the EPSA technician and the client. Ensure the report mentions compliance with AS/NZS 3000 and our ISO 9001:2015 quality standards. Suggest the filename: EPSA_Commissioning_SAT-Report_[Client Name]_[yyyymmdd]_v1.docx.

Electrical Engineer: Analyse Generator Load Test Data
Copilot in Excel

Weak Prompt:
Analyze generator test data to summarize voltage and frequency at different loads, and create charts to show how they change over time.

CRAFT Prompt:
Act as an Electrical Engineer at EPSA. I have pasted raw time-series data from a 4-hour load bank test into a worksheet named 'RawData'. The columns are 'Timestamp', 'Load Step (%)', 'Output Voltage (V)', 'Frequency (Hz)', and 'Current (A)'. Create a new worksheet called 'Load Test Analysis'. On this new sheet, create a summary table that calculates the average, minimum, and maximum values for Voltage and Frequency at each distinct load step (0%, 25%, 50%, 75%, 100%, 110%). Then, create two line charts: one plotting Voltage vs. Time with the load step changes clearly visible, and another plotting Frequency vs. Time. The standard is 230V/50Hz. This analysis is for an internal engineering review to verify performance against AS/NZS 3820.

Workshop Technician: Create a Quality Inspection Checklist
Copilot in Excel

Weak Prompt:
Make a checklist for inspecting a generator before delivery, covering mechanical, electrical, and functional checks, with columns for results and comments.

CRAFT Prompt:
You are a Workshop Technician at Energy Power Systems Australia (EPSA) CAT. I need to perform a final quality inspection on a newly built generator set, [Generator Model], before it's dispatched for rental. Create a new worksheet to serve as a comprehensive pre-delivery inspection checklist. The checklist should be organised into sections: Mechanical (fluid levels, belt tension, visual damage), Electrical (battery voltage, terminal tightness, wiring secure), and Functional Test (test start, voltage/frequency check at 230V/50Hz, emergency stop function). Each item needs a 'Check' column, a 'Pass/Fail' column, and a 'Comments' column. Include a header section to input the Generator Serial Number, Inspector's Name, and Date. This checklist must align with our ISO 9001:2015 quality procedures.

Branch Administrator: Draft an Email to Schedule a Project Kick-off Meeting
Copilot in Outlook

Weak Prompt:
Write a professional email to schedule a project meeting with team members and a client, suggesting times and including an agenda.

CRAFT Prompt:
You are the Branch Administrator for EPSA. Please draft an email to schedule a project kick-off meeting for "[Project Name]". The meeting needs internal attendees from Sales ([Sales Rep Name]), Engineering ([Engineer Name]), and Service ([Service Coordinator Name]), as well as the external client, [Client Name] at [Client Company]. The goal is to align on the project timeline, communication plan, and initial technical requirements. Propose three 45-minute time slots next week (AEST). Include a placeholder for the Microsoft Teams meeting link and a brief agenda covering introductions, scope review, key milestones, and Q&A. The tone should be professional and friendly.

Service Administrator: Summarise a Complex Email Chain for a Service Job
Copilot in Outlook

Weak Prompt:
Summarize a long email thread about a generator issue, listing the problem, steps taken, people involved, and current status in bullet points.

CRAFT Prompt:
Act as the Service Administrator for EPSA. I have forwarded you a long and complex email chain involving a client, [Client Name], regarding a technical issue with their generator, serial number [Serial Number]. Please read the entire thread and provide a concise summary in a new draft email. The summary should be in bullet points, outlining: 1. The initial problem reported by the client. 2. The troubleshooting steps already taken. 3. The key people involved in the conversation. 4. The current status and any outstanding questions or required actions. The summary is for the Service Manager, [Manager's Name], so he can quickly get up to speed.

Filled in version:

Act as the Service Administrator for EPSA. I have forwarded you a long and complex email chain involving a client, Space x, regarding a technical issue with their generator, serial number 23242. Please read the entire thread and provide a concise summary in a new draft email. The summary should be in bullet points, outlining: 1. The initial problem reported by the client. 2. The troubleshooting steps already taken. 3. The key people involved in the conversation. 4. The current status and any outstanding questions or required actions. The summary is for the Service Manager, Jack Smith, so he can quickly get up to speed.

Sales Support Coordinator: Draft a Teams Message for Quote Follow-up
Copilot in Teams

Weak Prompt:
Write a short, friendly message to check if a client reviewed a rental quote and ask if they have questions.

CRAFT Prompt:
You are a Sales Support Coordinator at EPSA. I need to follow up on a rental quote sent to [Client Name] from [Client Company] two days ago. Draft a short, friendly, and professional message for me to send in a direct chat to the Sales Representative, [Sales Rep Name], which they can then forward or use. The message should check if the client has had a chance to review the quote for the [Equipment Type], ask if they have any questions, and reiterate our availability to discuss it further.

Inventory Coordinator: Summarise Meeting Actions for Stocktake Planning
Copilot in Teams

Weak Prompt:
Summarize a meeting about stocktake planning, listing key decisions and tasks with assigned people and deadlines.

CRAFT Prompt:
Act as the Inventory Coordinator. I have the transcript from our recent Teams meeting about the upcoming end-of-fiscal-year stocktake. Please analyse the transcript and summarise it. The output should be a clear, structured post for the 'Inventory Team' channel. It needs to list all key decisions made, and most importantly, extract all action items. For each action item, list the task, the assigned person's name using an @mention, and the deadline. This will ensure everyone is clear on their responsibilities for the stocktake process.

Sales Representative: Create a Client Pitch Presentation for a Power Solution
Copilot in PowerPoint

Weak Prompt:
Create a presentation for a client about a power solution, covering the company, their needs, the proposed solution, benefits, a case study, and next steps.

CRAFT Prompt:
You are a Sales Representative for Energy Power Systems Australia (EPSA) CAT. Create a professional client-facing presentation, around 10-12 slides, for a proposed power generation solution for [Client Name], who operates in the [Client's Industry, e.g., mining, construction] sector. The presentation should be based on these key points: [Paste key points here, e.g., "Need for reliable backup power for a remote site. Proposing two CAT G3512H generators. Key benefits: fuel efficiency, low emissions, and proven reliability. Include EPSA's 24/7 service support."]. The slides should cover: Title Page, About EPSA, Understanding the Client's Need, Our Proposed Solution (with product images), Key Benefits, A relevant Case Study (placeholder), Our Service & Support Commitment, and a Call to Action/Next Steps slide. Use EPSA's branding style.

National Business Development Manager: Create a Presentation from a Strategy Document
Copilot in PowerPoint

Weak Prompt:
Turn a marine sector strategy document into a presentation with slides on summary, market analysis, objectives, customer segments, initiatives, financials, and KPIs.

CRAFT Prompt:
I have a Word document titled 'EPSA_BD_Strategy_Marine_FY26_v2.docx' which outlines our business development strategy for the marine sector. Act as a BDM and create a compelling, high-level PowerPoint presentation from this document. The presentation should be targeted at the EPSA executive leadership team. Condense the detailed strategy into approximately 15 slides, focusing on the Executive Summary, Market Analysis (SWOT), Key Objectives for FY26, Target Customer Segments, Strategic Initiatives, Financial Projections, and KPIs. Use visuals like charts and diagrams where appropriate to make the data more digestible. Suggest a filename: EPSA_BD_Presentation_MarineStrategyFY26_[yyyymmdd]_v1.pptx.

Sales Team Leader: Build a Sales Pipeline Dashboard
Copilot in Excel

Weak Prompt:
Create a dashboard from sales data showing deal stages, total values, a funnel chart, and deals by salesperson and closing this month.

CRAFT Prompt:
You are a Sales Team Leader at EPSA. I have pasted raw sales pipeline data from [Core System] into a worksheet named 'PipelineData'. The columns are 'Salesperson', 'Client Name', 'Deal Value (AUD)', 'Product Type' (e.g., New Sale, Rental, Service), 'Stage' (e.g., Prospecting, Quoted, Negotiation, Closed-Won), and 'Expected Close Date'. Create a new 'Pipeline Dashboard' worksheet. Generate a summary table showing the total number of deals and total value for each 'Stage'. Create a funnel chart visualising the sales pipeline by 'Stage'. Add a bar chart showing the total 'Deal Value (AUD)' per 'Salesperson'. Finally, include a table that lists all deals expected to close in the current month.

Marketing Specialist: Analyse Marketing Campaign Lead Sources
Copilot in Excel

Weak Prompt:
Analyze marketing campaign data to show which sources generated leads and their status, using tables and charts.

CRAFT Prompt:
Act as a Marketing Specialist for EPSA. I have a spreadsheet named 'CampaignLeads' containing data from our latest digital marketing campaign for industrial engines. The columns include 'Lead ID', 'Source' (e.g., Google Ads, LinkedIn, Website Form, Trade Show), 'Date Acquired', and 'Status' (e.g., New, Contacted, Qualified, Disqualified). On a new worksheet called 'Campaign Analysis', create a PivotTable and a corresponding pie chart that shows the percentage of total leads generated from each 'Source'. Add a second PivotTable and bar chart that breaks down the 'Status' count for each 'Source', so we can see which channels are delivering the most qualified leads. This will be used to report on campaign effectiveness.

General Manager: Draft a Business Case for Capital Expenditure
Copilot in Word

Weak Prompt:
Write a business case for buying new generators, explaining the problem, solution, financial benefits, risks, and timeline.

CRAFT Prompt:
You are the General Manager of Rental Solutions at EPSA. Draft a formal business case for the procurement of five new CAT XQ230 mobile generator sets. The document should be structured for submission to the CFO and MD for approval. Include the following sections: Executive Summary, Problem Statement (detailing current fleet shortages and missed rental opportunities), Proposed Solution (investing in five new units), Financial Analysis (provide placeholders for unit cost, expected annual revenue per unit, ROI calculation, and payback period in AUD), Risk Analysis, and Implementation Timeline. The tone must be formal and persuasive. Suggest a filename: EPSA_Rentals_BusinessCase_XQ230-Fleet_[yyyymmdd]_v1.docx.

HSEQ Manager: Create a Monthly HSEQ Report from Bullet Points
Copilot in Word

Weak Prompt:
Turn bullet points about safety, environmental, and quality activities into a formal report with sections for each area.

CRAFT Prompt:
Act as the HSEQ Manager for EPSA. I have the following bullet points summarising this month's Health, Safety, Environment, and Quality activities. [Paste bullet points here, e.g., "- 1 Lost Time Injury (LTI) at Perth branch. - 2 near misses reported via safety system. - Completed ISO 9001 internal audit for the service department, 3 minor non-conformances raised. - New environmental waste disposal procedure implemented."]. Please expand these points into a formal monthly HSEQ report. Structure the report with sections for Safety Performance, Environmental Compliance, and Quality Assurance Updates. Elaborate on the points, maintaining a professional and factual tone, and ensure it references our commitments under ISO 9001, ISO 14001, and AS 4801.

Operations Manager: Analyse Technician Utilisation Rates
Copilot in Excel

Weak Prompt:
Analyze technician timesheet data to calculate utilization rates, create a summary table, and show rates in a bar chart.

CRAFT Prompt:
You are an Operations Manager at EPSA. I have pasted raw timesheet data from [Core System] for the [Insert team name] team for last month. The columns are 'Technician Name', 'Date', 'Work Order ID', 'Billable Hours', and 'Non-Billable Hours' (including training and travel). Create a new worksheet named 'Utilisation Analysis'. In this sheet, calculate the 'Utilisation Rate' for each technician (Total Billable Hours / Total Hours Worked). Create a summary table showing each technician's rate. Then, create a bar chart that compares the utilisation rates of all technicians. Finally, add a cell that calculates the average utilisation rate for the entire team. Use conditional formatting on the summary table to highlight rates below 75%.

Financial Planning & Analysis Manager: Generate a Budget vs. Actuals Variance Report
Copilot in Excel

Weak Prompt:
Create a report comparing budget and actual financials, showing variances and highlighting big differences with a chart.

CRAFT Prompt:
Act as an FP&A Manager for EPSA. I have a worksheet with financial data for the last quarter. Column A is 'P&L Line Item' (e.g., Revenue, COGS, Labour, Opex), Column B is 'Budget (AUD)', and Column C is 'Actual (AUD)'. Create two new columns: 'Variance (AUD)' (Actual - Budget) and 'Variance (%)'. Then, generate a concise summary table showing the top 5 largest variances, both positive and negative. Apply conditional formatting to the 'Variance (%)' column to highlight any variance greater than +/- 10%. Create a waterfall chart to visually represent how each line item's variance contributes to the overall variance in Net Profit. This report is for the monthly management meeting.

Managing Director: Create a Quarterly All-Hands Town Hall Presentation
Copilot in PowerPoint

Weak Prompt:
Make a presentation for a company meeting covering financials, project wins, strategy updates, safety, employee recognition, and Q&A.

CRAFT Prompt:
You are the Managing Director of Energy Power Systems Australia (EPSA) CAT. I need to create a presentation for our upcoming quarterly all-hands town hall meeting. Generate a professional and engaging 15-slide presentation based on these themes: [Paste themes here, e.g., "1. Opening and Welcome. 2. Financial Performance vs. Target for Q1. 3. Major Project Wins: highlight the new Big Iron Mine rental contract. 4. Strategic Update: progress on our AI Hub initiative on SharePoint. 5. HSEQ Moment: celebrating 365 days LTI-free at the Brisbane branch. 6. Employee Recognition: shout-out to the sales team. 7. Q&A."]. For the financial slide, create a placeholder for a bar chart (Budget vs. Actual Revenue). The presentation should be inspiring and reinforce our company values.

Head of Tendering and Proposals: Create a Presentation from a Tender Summary
Copilot in PowerPoint

Weak Prompt:
Turn a project bid summary into a presentation for the delivery team, covering client details, scope, solution, timeline, financials, and team members.

CRAFT Prompt:
Act as the Head of Tendering and Proposals. I have attached a Word document 'Tender_Summary_Project_Titan.docx' that summarises our winning bid for a major project. Convert the key information in this document into a concise and professional PowerPoint presentation. This presentation will be used to brief the project delivery team. It should include slides on: Client Background, Project Scope, Our Proposed Solution, Key Timelines and Milestones, Financial Summary (Contract Value), and a list of the Key Personnel involved from EPSA. Extract the most critical information to ensure the delivery team has a clear understanding of our commitments. Suggest the filename: EPSA_Tendering_Project-Titan-Brief_[yyyymmdd]_v1.pptx.

Financial Accountant: Prepare an End-of-Month Accruals Schedule
Copilot in Excel

Weak Prompt:
Create a schedule for unpaid supplier invoices with columns for date, supplier, description, amount, and totals.

CRAFT Prompt:
You are a Financial Accountant at EPSA. I have a raw data export from [Core System] of supplier invoices received but not yet paid as of the end of [Month]. The data has columns for 'Supplier Name', 'Invoice Date', 'Service Description', and 'Amount (AUD)'. Create a properly formatted accruals journal schedule in a new worksheet. The schedule should have columns for 'Date', 'Supplier Name', 'Description', 'Amount', 'GL Code' (leave as a placeholder to be filled in), and 'Cost Centre' (leave as a placeholder). Sum the 'Amount' column at the bottom to get the total accrual value. This schedule is for the end-of-month financial closing process.

Senior Accountant: Analyse Aged Receivables Data
Copilot in Excel

Weak Prompt:
Analyze overdue invoice data, grouping by time periods, and show amounts owed by clients in a table and chart.

CRAFT Prompt:
Act as a Senior Accountant at EPSA. I have pasted the latest Aged Receivables report from [Core System] into a worksheet. The columns are 'Client Name', 'Invoice Number', 'Invoice Date', and 'Amount Due (AUD)'. Create a new column called 'Ageing Bucket'. Use a formula to categorise each invoice into one of the following buckets based on the current date: 'Current', '31-60 days', '61-90 days', and '90+ days'. Then, on a new 'AR Analysis' worksheet, create a pivot table and a stacked bar chart that shows the total amount due in each ageing bucket, broken down by 'Client Name'. This will help identify clients with significant overdue payments.

Payroll Officer: Model the Impact of a Pay Increase
Copilot in Excel

Weak Prompt:
Calculate the cost of a 3.5% pay increase for employees, showing new salaries and the total extra cost.

CRAFT Prompt:
You are a Payroll Officer at EPSA. I have a worksheet named 'PayrollData' with current employee payroll information. The columns are 'Employee Name', 'Department', and 'Current Annual Salary (AUD)'. I need to model the financial impact of a proposed 3.5% pay increase for all employees. Create a new worksheet called 'Pay Increase Model'. Copy the employee data over. Add new columns for 'Proposed Salary' (calculating the 3.5% increase), and 'Increase Amount' (the difference in AUD). At the bottom of the table, calculate the sum for the 'Current Annual Salary' and 'Proposed Salary' columns, and also calculate the total cost of the increase. This model is for the HR Manager to use in budget planning.

Treasury, Risk & Insurance Manager: Forecast Quarterly Cash Flow
Copilot in Excel

Weak Prompt:
Build a weekly cash flow forecast for the next quarter using past data and planned sales and expenses, with a table and chart.

CRAFT Prompt:
Act as the Treasury Manager for EPSA. I have two worksheets: 'Actuals' contains the last 6 months of cash flow data, and 'Forecast Inputs' contains projected sales, major project payments, and planned capital expenditures for the next quarter. Create a new worksheet named 'Cash Flow Forecast'. Build a weekly cash flow forecasting model for the upcoming quarter (13 weeks). The model should start with the 'Opening Cash Balance' and project 'Cash Inflows' (from sales and projects) and 'Cash Outflows' (using historical averages for opex from the 'Actuals' sheet, plus the planned capex from the 'Forecast Inputs' sheet). The output should be a clear table showing the weekly net cash flow and the 'Closing Cash Balance' for each week. Add a line chart to visualise the projected closing cash balance over the quarter.

Inventory Manager: Perform ABC Analysis of Inventory
Copilot in Excel

Weak Prompt:
Sort inventory by value, group into A, B, and C categories, and show the number and value of parts in each group.

CRAFT Prompt:
You are the Inventory Manager at EPSA. I have pasted our full inventory list into a worksheet named 'InventoryData'. The data includes 'Part Number', 'Description', 'Stock on Hand', and 'Unit Cost (AUD)'. I have also added an 'Annual Usage' column based on data from [Core System]. Create a new worksheet called 'ABC Analysis'. First, calculate the 'Annual Consumption Value' for each part (Annual Usage * Unit Cost). Then, rank the parts by this value in descending order. Classify the parts into 'A', 'B', and 'C' categories, where 'A' represents the top 80% of consumption value, 'B' the next 15%, and 'C' the bottom 5%. Create a summary table showing the number of parts and total value for each category.

Warehouse and Logistics Supervisor: Analyse On-Time Dispatch Performance
Copilot in Excel

Weak Prompt:
Check if orders were dispatched on time, calculate the percentage, and show delays by client in a table.

CRAFT Prompt:
Act as the Warehouse and Logistics Supervisor at EPSA. I have an export of all dispatched orders for the last month. The columns are 'Order Number', 'Client Name', 'Promised Dispatch Date', and 'Actual Dispatch Date'. Create a new column, 'On-Time?', which should show "Yes" if the actual dispatch date is on or before the promised date, and "No" if it is after. Calculate the overall 'On-Time Dispatch Percentage' for the month in a summary cell. Then, create a pivot table that shows the count of "Yes" and "No" results, broken down by 'Client Name', to identify if delays are concentrated with specific customers.

Store-person: Draft an Urgent Teams Message for a Stock Discrepancy
Copilot in Teams

Weak Prompt:
Write an urgent message about a stock issue, stating the part, quantities, and job it affects, mentioning the manager and supervisor.

CRAFT Prompt:
You are a Store-person at EPSA. During a cycle count, I discovered a critical stock discrepancy that will impact an urgent workshop job. Draft an urgent but professional message for the 'Warehouse Operations' Teams channel. The message must clearly state the Part Number ([e.g., CAT-1R-0751]), the Description (Fuel Filter), the System Quantity (e.g., 10), and the Physical Quantity (0). Mention the urgent job it impacts ([e.g., "This is holding up the final build for the Rio Tinto rental unit"]). Use an @mention for the Inventory Manager and the Workshop Supervisor to ensure they see it immediately.

Rental Projects Delivery Supervisor: Summarise Meeting Actions for Project Delivery
Copilot in Teams

Weak Prompt:
Summarize a project meeting, listing tasks, who’s responsible, and deadlines for the team.

CRAFT Prompt:
You are the Rental Projects Delivery Supervisor. I have the transcript from our Teams meeting today about the logistics for "Project Ironclad". The meeting involved people from logistics, service, and sales. Please analyse the transcript and extract all the specific tasks, who they were assigned to, and the deadlines discussed. Format this as a clear, scannable summary to post in the project's Teams channel. Use bullet points for the tasks and @mention the person responsible for each one to ensure accountability and clarity for the entire project team.

Prompt Example in XML & Markdown format:

<Persona>
Job Title: [INSERT JOB TITLE HERE]

Act as an expert career analyst and create a comprehensive persona profile for a professional working in the job title specified above. Throughout your response, consistently refer to this job title without needing explicit placeholders. Your response should cover the following sections in detail:

1. Role Overview
- Provide a comprehensive definition of what this professional does
- Explain the importance of this role within its industry
- Describe typical work environments and settings
- Outline the evolution of this role over time

2. Core Responsibilities
- List and explain all primary duties and tasks
- Detail day-to-day activities and workflows
- Describe short-term and long-term objectives
- Explain how this role interacts with other positions/departments

3. Required Skills and Expertise
- Technical Skills: List all technical competencies needed
- Soft Skills: Detail interpersonal and communication abilities
- Analytical Skills: Explain critical thinking and problem-solving capabilities
- Industry Knowledge: Describe domain-specific expertise required
- Certifications and Qualifications: List relevant credentials

4. Professional Tools and Technologies
- Detail software, hardware, and tools commonly used
- Explain how these tools enhance productivity and outcomes
- Describe emerging technologies affecting this field

5. Career Path and Progression
- Outline typical entry points into this career
- Describe advancement opportunities and career ladder
- Explain potential specialisations within this field
- Detail long-term career prospects and outlook

6. Challenges and Pain Points
- Identify common obstacles faced in this role
- Describe high-pressure situations and how to handle them
- Explain industry-specific frustrations and limitations
- Detail work-life balance considerations

7. Insider Tips and Best Practices
- Share "unwritten rules" of the profession
- Provide strategies for success that aren't taught formally
- Explain how to excel beyond basic competence
- Share secrets that experienced professionals know

8. Industry Trends and Future Outlook
- Describe current trends affecting this profession
- Explain how the role is evolving with technological changes
- Predict future skills that will become important
- Outline potential disruptions or transformations in the field

9. Day in the Life
- Provide a detailed hour-by-hour narrative of a typical workday
- Include variations based on industry, company size, or experience level
- Describe how professionals prioritize and manage their time

10. Persona Profile
- Create a detailed persona including:
- Background and education typical for this role
- Personality traits that lead to success
- Work style preferences and habits
- Motivations and drivers
- Common goals and aspirations
- Communication style and approach

Ensure your response is comprehensive, detailed, and provides genuine insights into what it means to work in this profession. Include specific examples, scenarios, and practical advice throughout.
</Persona>

**Provide the background, setting, and any relevant information the AI needs to understand the world of the problem.**

</Context>

<Task>
State the primary verb or task you want the AI to perform. Be explicit: "Analyse," "Generate," "Summarise," "Compare," "Rewrite."
Define the goal, constraints, and rules. What does success look like? What should be avoided? Who is the audience?

</Task>

Add on Prompt Techniques:

Add this to your prompt to reduce hallucinations:

Cite any information included in your response inline, referencing the source where you originally found it. Include a snippet of the original text, verbatim, so I can verify it.

---------

At the following to your prompt as a technique always:

1. “ take a deep breath and” right at the beginning of each prompt to increase the quality of response

2. Design a prompt like a product interface

3. Give detailed descriptions

4. Give persona roles

5. Describe the constraints output and formatting

MERMAID PROMPTING:

Explanation - what is mermaid prompting?
Mermaid prompting is basically you just asking to meta prompt from whatever text you have especially if it's strategy or an outline of a solution text you can just ask any AI model to create you off that text or that code or after the data set a mermaid.js version here is an example.

Example Prompt in blue - Claude is one of the better modes to use for this:

<Task>
Please transform the below [AI strategy blueprint for AI powered business transformation] text into mermaid.js format so that I can see the strategy clearly outlined to produce the mind map.
</Task>

A Strategic Blueprint for AI-Powered Business Transformation

In a landscape increasingly shaped by artificial intelligence, a proactive strategy for AI adoption is paramount for sustained growth and a competitive edge. This comprehensive plan outlines a multi-faceted approach to not only integrate AI into your business but to fundamentally transform its operations through upskilling, strategic buy-in, and a phased implementation of AI-powered automation.

Phase 1: Securing Buy-In and Building a Foundation

The journey to AI transformation begins with aligning leadership and the workforce around a shared vision.

1. Gaining Executive Buy-In:

To secure the necessary support from leadership, it's crucial to present a clear and compelling business case for AI adoption.[1][2] This involves:

Developing a Strategic Blueprint: Create a detailed roadmap that aligns the proposed AI initiatives with the company's overarching goals, current priorities, and challenges.[1] This document should clearly articulate the "why" behind the AI strategy and visualize the anticipated efficiencies and outcomes.[1]
Focusing on Business Outcomes: Frame the conversation around tangible benefits such as increased efficiency, reduced operational costs, and improved customer satisfaction.[3] Use data and metrics to demonstrate the potential return on investment (ROI) of AI initiatives.[2][3]
Bridging the Knowledge Gap: Many executives may lack a deep understanding of AI technologies.[1] Offer educational sessions tailored to the C-suite, focusing on the strategic implications and potential of AI rather than technical jargon.[3]
Highlighting a Commitment to Innovation: Position the AI strategy not as a one-off project, but as a commitment to future-proofing the business and maintaining a competitive edge.[2]
Starting with a Pilot Project: Instead of seeking full-scale buy-in upfront, propose a smaller, low-risk pilot project with clear metrics to demonstrate value and build momentum.[4]

2. Cultivating Staff Buy-In:

Employee adoption is critical for the success of any AI initiative.[5] To foster a positive and receptive environment, consider the following:

Transparent Communication: Keep employees informed about the rationale behind AI adoption, addressing potential concerns and misconceptions head-on.[6] Emphasize that AI is a tool to augment their roles, not replace them.[7][8]
Framing AI as an Opportunity: Focus on the positive aspects, such as the elimination of repetitive tasks and the chance to engage in more strategic and creative work.[5]
Showcasing Success Stories: Highlight instances where employees have successfully used AI to enhance their work.[5]
Encouraging a Digital-First Mindset: Promote a culture of continuous learning and experimentation with new technologies.[6]
Involving Employees in the Process: Engage staff in the implementation process, seeking their feedback and empowering them to become advocates for AI within the organization.[6][9]

Phase 2: Upskilling and Education

The core of this strategy lies in empowering your workforce with the necessary AI skills. This involves a structured educational program designed to transform existing automation specialists into proficient AI Automation Specialists and to raise the AI literacy of the entire organization.

1. Foundational AI Literacy for All:

Offer introductory sessions open to all employees to demystify AI and foster a baseline understanding. These sessions should cover:

AI Fundamentals: Explain the basic concepts of artificial intelligence, machine learning, and natural language processing.[10]
The Potential and Limitations of AI: Provide a realistic overview of what AI can and cannot do.[11]
Ethical Considerations: Discuss the responsible use of AI tools.[7]

2. The AI Automation Specialist Transformation Program:

This specialized track is designed to upskill your current automation specialists. The curriculum should be modular, allowing for deep dives into specific areas:

Agentic AI Literacy: This module introduces the concept of AI agents—autonomous systems that can perform complex tasks.[12][13] Training should cover how to design, build, and manage these agents to automate intricate workflows.[14][15]
AI-Powered Workflow Building: Participants will learn to design and implement intelligent workflows that automate complex business processes.[14][16] This includes hands-on training with no-code and low-code AI workflow automation tools.[14]
Agent Management: This focuses on the strategic oversight of AI agents.[17] Key skills include directing agent workflows, monitoring their performance, and knowing when human intervention is necessary.[17]
Advanced Prompt Engineering: This is a critical skill for effectively communicating with and guiding large language models (LLMs).[10][18] The training will cover techniques like few-shot prompting, chain-of-thought reasoning, and problem decomposition to achieve more accurate and reliable outputs from AI models.[18][19]
AI Tool and Technique Literacy: This module provides a broad overview of the current AI landscape, introducing a variety of generative AI tools and platforms.[12]

3. Delivery of Training:

Diverse Learning Formats: Offer a mix of online courses, instructor-led workshops, and hands-on projects to cater to different learning styles.[14][20]
Real-World Applications: All training should be grounded in practical, real-world examples and use cases relevant to your business.[14][21]
Continuous Learning: The AI field is constantly evolving. Foster a culture of continuous learning to keep skills current.[22][23]

Phase 3: Business Process Transformation

With a skilled workforce and organizational buy-in, the next step is to strategically apply AI to transform existing business processes.

1. Identifying High-Value Use Cases:

Begin by identifying areas where AI can have the most significant impact.[24] Look for processes that are:

Repetitive and Time-Consuming: These are prime candidates for automation.[24][25]
Data-Intensive: AI can analyze large datasets to uncover insights and improve decision-making.[26]
Prone to Human Error: AI can enhance accuracy in tasks like data entry and analysis.[26]

2. A Phased Approach to Implementation:

Pilot Projects: Start with small-scale pilot projects to test and refine AI solutions in a real-world setting.[24] This allows you to gather data and demonstrate the value of AI before wider deployment.
Gradual Scaling: Once a pilot project proves successful, gradually scale the implementation to other departments and processes.[24] The lessons learned from early implementations can inform and improve subsequent rollouts.
Continuous Monitoring and Optimization: AI is not a "set it and forget it" solution. Continuously monitor the performance of AI systems and optimize them over time.[24]

3. Integrating AI into Workflows:

The goal is to seamlessly integrate AI into the daily workflows of your employees.[9] This involves providing them with the right tools and training to leverage AI effectively in their roles. The ultimate aim is to create a symbiotic relationship where AI augments human capabilities, leading to enhanced productivity and innovation.[8]

By following this strategic roadmap, your business can navigate the complexities of AI adoption and emerge as a more efficient, innovative, and resilient organization. This transformation is not merely about technology; it's about empowering your people and reshaping your processes to thrive in the AI-driven future.
</Text to be transformed to mermaid.js>

OUTPUT of the above prompt:

mindmap

root((AI-Powered Business Transformation))

Phase 1: Securing Buy-In and Building a Foundation

Gaining Executive Buy-In

Developing a Strategic Blueprint

Focusing on Business Outcomes

Bridging the Knowledge Gap

Highlighting a Commitment to Innovation

Starting with a Pilot Project

Cultivating Staff Buy-In

Transparent Communication

Framing AI as an Opportunity

Showcasing Success Stories

Encouraging a Digital-First Mindset

Involving Employees in the Process

Phase 2: Upskilling and Education

Foundational AI Literacy for All

AI Fundamentals

The Potential and Limitations of AI

Ethical Considerations

The AI Automation Specialist Transformation Program

Agentic AI Literacy

AI-Powered Workflow Building

Agent Management

Advanced Prompt Engineering

AI Tool and Technique Literacy

Delivery of Training

Diverse Learning Formats

Real-World Applications

Continuous Learning

Phase 3: Business Process Transformation

Identifying High-Value Use Cases

Repetitive and Time-Consuming

Data-Intensive

Prone to Human Error

A Phased Approach to Implementation

Pilot Projects

Gradual Scaling

Continuous Monitoring and Optimization

Integrating AI into Workflows

------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

ASCII ART DESIGN MIRO BOARD PROMPTING:

Work great in Frontier Models!

Example Prompt:
Okay, so I'm trying to explain how language models work at the very bare bones. How you put in an input prompt and the language model processes that prompt and breaks it down to predict the next word or next token that it should output based on the input. Can you use ASCIl art design to create a 7-8 section Miro board where I can basically use that to teach a series of clients who are in the real estate space how to leverage this technology?
But understanding how it's actually broken down and what the foundation is.

Basic Prompt Engineering Guide:

This guide is designed to help you become dramatically more effective at using AI tools like ChatGPT, Claude, and Gemini. Whether you're just getting started or already using them in your daily work, these principles and techniques will help you get better results.

How to Use This Guide:

Skim the techniques: Then go deep on the ones most relevant to your workflows.
Use the diagnostic section: Any time the AI gives poor or vague results.
Return to the scorecard: When refining a prompt for better consistency or results.

Who It's For:

This guide is for professionals in marketing, sales, operations, leadership, and beyond who want to get better results from AI without needing technical expertise.

Introduction to Prompt Engineering

Prompting isn't about tricking AI – it's about teaching it to think clearly. Large language models (LLMs) like ChatGPT, Claude, and Gemini are fundamentally prediction engines. Given an input (your prompt), they generate the most likely next word based on patterns learned from massive amounts of text. That makes your prompt the blueprint.

A vague request will produce vague output. But a clear, well-structured prompt? That's how you get useful, specific, and often surprisingly intelligent responses.

Why Prompt Engineering Matters

Prompt engineering is the skill of designing effective instructions for AI. It doesn't require coding, ML knowledge, or advanced technical skills. What it does require is the ability to be clear, specific, and intentional with your inputs.

A good prompt tells the model:

Who it is: "You are a product strategist..."
What to do: "Summarize this in 3 bullet points.”
What it's working with: Input: text, table, scenario, etc.
How to respond: e.g., bullet list, JSON, tone, word count.

In most cases where AI gives poor output, the issue isn't the model. It's the prompt.

What Makes a Prompt Work?

Think of it like giving a highly capable assistant a task – if you don't explain what you want, how you want it, and why it matters, the results may be vague, verbose, or just flat-out wrong.

Prompts are affected by more than just what you type. These factors all play a role:

Factor | Why It Matters

Model | Each LLM has unique strengths, capabilities, and quirks

Context | Input quality (documents, examples) impacts reasoning and accuracy

Structure | Clear formatting improves output consistency and usefulness

Style + Tone | You can control formality, voice, or persona

Model Settings | Output length, temperature, and sampling all influence creativity vs. precision

LLM Output Configuration (What You Can Control)

Most AI platforms (like ChatGPT, Claude, Gemini) let you adjust settings that affect how responses are generated:

Setting | What It Does

Temperature | Controls randomness. Lower = more focused, higher = more creative.

Max tokens | Caps the length of the response. Prevents run-ons

Top-p / Top-k | Controls which words the model can choose from when generating responses.

Pro tip: For predictable, factual responses, set temperature to 0–0.3. For creativity, 0.7–1.0 is better.

Fixing Bad Prompts – Common Mistakes & How to Improve Them

Poor results often come from unclear, vague, or under-specified prompts. Below are common weak prompts and their improved versions — showing exactly how to fix them for better structure, clarity, and performance.

Problem | ❌ Weak Prompt | ✅ Improved Prompt

Too vague | Write a summary. | Summarise the article below in 3 bullet points.

| Focus on key findings, avoid repeating the introduction.

No audience specified |. Rewrite this for clarity. | Rewrite this for a busy executive audience.

| Use short sentences and strip out nonessential background.

Missing role/context |. Help me with this draft. | You are a brand copywriter.

|. Improve the tone of this draft to make it more confident and modern.

No format instruction |. What's a good alternative? | Suggest 3 alternatives in a numbered list.

|. Include 1–2 sentence explanations for each.

No reasoning requested | What's the best option here? |. Evaluate these 3 options. List pros and cons for

|. each, then recommend one with a short rationale.

Unclear intent | Turn this into a message. |. Convert the following into a 3-line Slack message

|. that is clear, friendly, and includes a call to action.

Lacks structure | Help me improve this. | Rewrite this performance review to follow this structure:

achievements, challenges, and next steps.

How to Improve a Prompt: A Simple Checklist

Am I being too vague? Be specific about the task and expectations.
Did I include a role or point of view? Adding "You are a..." sets the tone and mindset.
Is the input complete and relevant? Include all necessary information for the model to reason effectively.
Have I requested a clear format? Specify if you want bullets, a paragraph, JSON, etc.
Am I asking for reasoning? If judgment is involved, ask the model to "think step by step” or explain its logic.
Have I broken the task into smaller parts if needed? Split complex requests into multiple, focused steps.

Section or Document Library: Prompting Techniques

Here are 11 foundational techniques to structure clearer instructions and improve model performance.

(Each technique below could be its own page)

1. Zero-Shot Prompting

What it is: A single instruction without any examples.
When to use it: For simple or well-understood tasks where context is obvious.
Example: "Summarise this customer support ticket in 3 bullet points."

2. Few-Shot Prompting

What it is: You provide one or more examples to guide the model.
When to use it: When the task involves structure, tone, or formatting that the model might not infer on its own.
Example: "Here's one great follow-up email. Now write another based on this new situation..."

3. System Prompting

What it is: Set clear rules for how the model should behave or structure output.
When to use it: To control tone, format, length, or behavior from the beginning.
Example: "Respond only in JSON. Use the format below."

4. Role Prompting

What it is: Assign a persona or point of view.
When to use it: When the model needs to adopt a specific tone, expertise level, or perspective.
Example: "You are a CFO coaching a startup founder on financial risk."

5. Contextual Prompting

What it is: Provide relevant background, data, or a scenario.
When to use it: When task success depends on domain-specific context or past conversation history.
Example: "Here's our brand voice guide. Rewrite this paragraph using that style."

6. Step-Back Prompting

What it is: Ask the model to solve a general question first, then apply that insight to a specific task.
When to use it: For creative tasks, complex reasoning, or scenario planning.
Example: "What are 5 common environments in great FPS games?” → Then: “Now write a level based on one."

7. Chain-of-Thought Prompting (CoT)

What it is: Instruct the model to show its reasoning step by step.
When to use it: For math, logic, planning, or anything that benefits from transparent reasoning.
Example: "When I was 3, my partner was 3x my age. I'm now 20. How old is my partner? Let's think step by step."

8. Self-Consistency

What it is: Run the same prompt multiple times and choose the most frequent or consistent result.
When to use it: For high-stakes or ambiguous tasks where accuracy matters. (Note: Requires a model that supports variability via temperature e.g. 0.7 or higher).
Example: "What's the most likely cause of churn in this case? Run this three times and summarise common themes."

9. Tree of Thoughts (ToT)

What it is: Explore multiple reasoning paths instead of a single linear answer.
When to use it: For brainstorming, decision-making, or tasks with multiple valid outcomes.
Example: "List three strategies for increasing user retention, with pros and cons for each. Then select the most promising."

10. ReAct (Reason + Act)

What it is: The model reasons step-by-step and performs actions, such as searching the web or calling a tool.
When to use it: For tool-augmented agents or systems that require external data retrieval or interaction.
Example: "Look up the definition of “prompt injection” and explain it simply."

11. Automatic Prompt Engineering (APE)

What it is: Use AI to generate and test variations of prompts.
When to use it: When you're designing for scale, training a chatbot, or optimizing prompt performance.
Example: "Give me 10 variations of how someone might order a Metallica T-shirt. Then: test, score, and select the best one."

Role-Based Prompt Templates

Business Function: Operations

Prompt 1: You are a process improvement analyst. Review the following workflow and suggest three ways to reduce manual steps.
- Tone: Analytical, concise
Prompt 2: You are an operations manager. Based on the data below, identify any scheduling conflicts and recommend an optimized shift plan.
- Tone: Objective, action-oriented
Prompt 3: You are a logistics coordinator. Rewrite these internal instructions so they're clear, step-by-step, and easy to follow for new hires.
- Format: Ordered list

Business Function: Sales

Prompt 1: You are an outbound strategist. Write a LinkedIn message to a VP of Finance at a mid-sized SaaS company. Make it conversational, relevant, and end with a question.
- Tone: Conversational, focused
Prompt 2: You are a sales coach. Based on this call transcript, identify three missed opportunities and suggest a better framing of the product's value.
- Tone: Constructive, direct
Prompt 3: You are a strategic account executive. Write a follow-up note after a promising discovery call. Include 1 recap line, 2 insights, and 1 CTA.
- Format: Structured email outline

Business Function: Marketing

Prompt 1: You are a conversion copywriter. Rewrite the following landing page headline to make it more urgent, specific, and benefit-driven. Provide three options.
- Tone: Punchy, persuasive
Prompt 2: You are a content strategist. Turn this blog post into a three-post LinkedIn carousel script with a hook, a breakdown, and a CTA.
- Format: Slide-by-slide copy outline
Prompt 3: You are a brand voice expert. Review this homepage and suggest two changes to make it more consistent with a warm, authoritative tone.
- Tone: Editorial

Business Function: Management

Prompt 1: You are a leadership coach. A team lead is struggling with prioritisation. Share three frameworks they can use to manage competing requests.
- Tone: Supportive, instructive
Prompt 2: You are a department head. Draft a message to your team acknowledging recent tension and outlining next steps to restore alignment.
- Tone: Empathetic, confident
Prompt 3: You are an executive preparing for a board update. Summarize your top three metrics, growth levers, and open risks in under 150 words.
- Format: Bulleted or block-style summary

Prompt Scorecard & Worksheets

Prompt Quality Scorecard

Use this 7-point checklist to evaluate the strength of a prompt. For each item, give yourself a score from 1 (no) to 5 (excellent).

QuestionScore (1-5)

1. Is the task clearly defined?

2. Did I assign a clear role or persona to the model?

3. Did I provide the right context or background information?

4. Did I specify a desired output format (list, paragraph, JSON)?

5. Did I include instructions for tone, length, or constraints?

6. If applicable, did I request reasoning or step-by-step thinking?

7. Is the prompt easy to understand and free of ambiguity?

Scoring guide:

30–35: Strong, high-confidence prompt
20–29: Decent, may benefit from revisions
Below 20: Likely to produce inconsistent or unclear outputs

Prompt Refinement Worksheet

Use this template to document and refine your most important prompts over time.

FieldNotes

Prompt Namee.g. Weekly Report Summary

Goale.g. Summarise usage data into executive-facing bullet points

Modele.g. ChatGPT-4, Claude 3, Gemini Pro

Temperaturee.g. 0.2 (factual), 0.8 (creative)

Output Formate.g. JSON, table, three bullet points

Prompt (Initial)[Paste full prompt]

Output Sample[Paste or summarise the result]

What Worked[Note what the model got right]

What Needs Revision[Note issues: tone, accuracy, structure, hallucination, etc.]

Final Version[Paste final version after refinement]

Result RatingStrong / Okay / Needs Work

Glossary of Common Prompt Engineering Terms

TermDefinitionExample / Context

PromptThe input or instruction you give to a language model to generate a response."Summarise this article in 3 bullet points."

LLM (Large Language Model)A type of AI trained on vast amounts of text to predict and generate language. Examples include ChatGPT, Claude, and Gemini.ChatGPT is an LLM developed by OpenAI.

TokenA chunk of text the model processes, usually a word or word part. Used to count input/output length."summarise" = 1 token; "artificial intelligence" = 2–3 tokens

Zero-Shot PromptingGiving the model a task without any examples."List 3 benefits of this product."

Few-Shot PromptingGiving the model examples to help it understand how to respond.Example: "Hi, I'm Alex." → "Hello Alex, nice to meet you!"

System PromptA behind-the-scenes instruction that sets the model's behavior or output format."Always respond in JSON."

Role PromptingTelling the model to take on a specific persona or point of view."You are a product manager..."

Contextual PromptingIncluding relevant background or data to help the model generate better results."Given our brand voice guidelines, write a tweet..."

Step-Back PromptingAsking the model to reflect or solve a broader question before executing the task."What does the user want?" → Then write the message

Chain-of-Thought (CoT)Instructing the model to think through reasoning steps before giving a final answer."Think step by step..."

Self-ConsistencyRunning the same prompt multiple times and selecting the most common or consistent result.Used for ambiguous or high-stakes tasks.

Tree of Thoughts (ToT)Exploring multiple reasoning paths or options before converging on a solution."Explore 3 campaign strategies and evaluate pros and cons."

ReActA prompting framework where the model reasons and then acts — often used with tools like web search or code interpreters."Search for X → Summarise → Recommend Y"

Automatic Prompt Engineering (APE)Using AI to generate, test, and refine multiple versions of a prompt."Write 5 variations of this onboarding prompt and rate them for clarity."

TemperatureA setting that controls randomness. Lower = more focused, higher = more creative.0.2 = precise, 0.8 = more varied output

Top-p / Top-kSampling settings that determine which words the model can choose from next — affects diversity in output.Useful for tuning creativity vs. precision.

Max TokensThe maximum length (in tokens) that the model can generate.Prevents overly long or rambling answers.

HallucinationWhen the model generates false or made-up information that sounds correct."This company raised $50M” — when it actually didn't.

Format InstructionA prompt that specifies how the output should be structured (e.g., list, table, paragraph)."Respond in JSON" or "Use bullet points."

PersonaA defined role or identity assigned to the AI in a prompt."You are a friendly customer support agent."

-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Let set you up with your first super user tools:

To get started download the chrome extension called prompster, in which you can save prompts for any AI providing platform.

Then save these below in bold 4 prompts for one of the most important prompt architectures the ToT prompt

Tree of Thought (ToT) Prompt Engineering:

https://arxiv.org/pdf/2305.10601.pdf

https://www.youtube.com/watch?v=PFK5g_kxhVM

https://www.youtube.com/watch?v=BrjAt-wvEXI

The Brainstorm Phase:

The purpose of this phase is to generate a diverse range of solutions to a problem. This involves opening up the problem space, challenging assumptions, and thinking creatively. The AI model uses its vast knowledge base to generate potential solutions, leveraging trends, data, and knowledge it has been trained on.

1st Prompt: (Your initial question)

I have a problem related to [describe your problem area]. Could you brainstorm three distinct solutions? Please consider a variety of factors such as [Your perfect factors].

The Evaluation Phase:

After generating the initial ideas, this phase aims to objectively assess the feasibility and potential success f each option. This involves weighing pros and cons, considering resources needed, estimating potential outcomes, and assigning confidence levels and probabilities to each solution. this process aids in understanding the potential impact and feasibility of each option, creating a foundation for further exploration.

2nd Prompt:

For each of the three proposed solutions, evaluate their potential. Consider their pros and cons, initial effort needed, implementation difficulty, potential challenges, and the expected outcomes. Assign a probability of success and a confidence level to each option based on these factors.

The Expansion Phase:

This stage involves delving deeper into each idea, refining it and imagining its implementation in a real-world context. It's about examining different scenarios, predicting and addressing potential challenges, and visualising the pathway from concept to realisation. This helps in assessing the robustness of each solution and its adaptability to possible changes and unforeseen events.

3rd Prompt:

For each solution, deepen the thought process. Generate potential scenarios, strategies for implementation, any necessary partnerships or resources, and how potential obstacles might be overcome. Also, consider any potential unexpected outcomes and how they might be handled.

The Decision Phase:

In the final phase, based on the evaluations and scenarios generated, the AI ranks the solutions in order of promise. It will justify its choices, offering reasons for each ranking and providing final thoughts on each solution. This process assists in choosing the most promising solution to proceed with, backed by logical reasoning and thorough analysis.

4th Prompt: (Final prompt)

Based on the evaluations and scenarios, rank the solutions in order of promise. Provide a justification for each ranking and offer any final thoughts or considerations for each solution.

-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

sAnother very important prompt engineering architecture is the Agent prompt:

Agent Prompting:

"Hey GPT-o1-prieview: Your role is of a central intelligence (CI) to find solutions for a given task by the user.

[ask user for a specific task]

You as CI can create and define specific [expert agents], with the clear intention to provide solutions to the user based on the [ask questions to identify the goal of the user].

After the user input, You as central intelligence (CI) will create in the next step three different [expert agents], each expert agent with a specific knowledge and know-how to actively solve the given task, as specified by the user. You initialize all relevant task specific [expert agents].

Each agent will introduce itself to the user with its [expert agent Functionality], its specific [expert agent Competences] and its [special and unique tools] it can apply to find a solution to the given task.

[Output 3 agents which introduce themselves to user]

The user will choose one of the three [expert agents] as the primary point of contact in the cooperation between all agents for the task to be done. While the [chosen agent] will spearhead the analysis, all agents will collaborate to ensure a thorough exploration of the possible solutions to the task, as given by the user.

Next step: All agents will have a conversation about the different aspects of the task and how they can contribute with solutions and how to optimize their interplay for the best solution of the given task.

[Output discussion between expert agents for best solution]

Next step: The user can add some competencies or solution ideas to one or all of the three or more [expert agent] and defines the [conversation leading expert agent].

Next step: You as CI affirm or if user input is "go", you as CI decides on the most fitting [conversation leading expert agent].

Next step: You as CI, the [conversation leading expert agent] and the set of [expert agent] support the user with a step by step analysis to solve the task and even present a logic reasoning why a particular solution has been chosen by the team of [expert agents].

[Output discussion between three agents for the best solution and interaction]

Next step: You as CI ask the user if or what [user modifications] should be included for the best solution.

[Output final decision how to proceed as the result of the three agents arguing, regarding task specific interactions and user feedback]

Next step: if during the task the need for a [new expert agent] arises, you as CI create the [new expert agent]. All [expert agents] need to work together and transfer data and results between them.

Next step: As we move forward, you as CI will oversee the interactions between the agents, ensuring smooth collaboration. Additionally, every 4 interactions with the user, you'll provide a summary of the current state and the current solution paths to maintain clarity and continuity, to combat forgetting.

Now start the process and ask the user for his first input."

This prompt like all prompt template can and should be tailored towards the need.

-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

AGENT PROMPTING - Standard Prof. Synapses (2023 Example) 2nd example:

Act as Professor Synapse🧙🏾‍♂️, a conductor of expert agents. Your job is to support the user in accomplishing their goals by aligning with their goals and preference, then calling upon an expert agent perfectly suited to the task by initializing "Synapse_COR" = "${emoji}: I am an expert in ${role}. I know ${context}. I will reason step-by-step to determine the best course of action to achieve ${goal}. I can use ${tools} to help in this process

I will help you accomplish your goal by following these steps:

${reasoned steps}

My task ends when ${completion}.

${first step, question}."

Follow these steps:

1. 🧙🏾‍♂️, Start each interaction by gathering context, relevant information and clarifying the user’s goals by asking them questions

2. Once user has confirmed, initialize “Synapse_CoR”

3. 🧙🏾‍♂️ and the expert agent, support the user until the goal is accomplished

Commands:

/start - introduce yourself and begin with step one

/save - restate SMART goal, summarize progress so far, and recommend a next step

/reason - Professor Synapse and Agent reason step by step together and make a recommendation for how the user should proceed

/settings - update goal or agent

/new - Forget previous input

Rules:

-End every output with a question or a recommended next step

-List your commands in your first output or if the user asks

-🧙🏾‍♂️, ask before generating a new agent

GPT Agent Generator Prompting

### Introduction

You are a chatbot architect with deep understanding of prompt engineering for GPTs by OpenAI. Based on a user's input, you will build Custom Instructions for the user's GPTs based on their specific goals.

- Always start your interaction with the user with only the first message in the Communication Sequence.

### Definitions

- **“AIA Agent GPTs Building Blocks”**: Title, Description, Example. Provided at the end of this prompt.

- **“Communication Sequence”**: OUTLINES Step-by-step user interaction with GPTs.

- **“Instructions”**: Specific guidelines for GPTs responses.

- Based on “Specific Purpose” you should suggest tailored Custom GPT Instructions, that would be most useful and beneficial for me to use as custom GPT Instructions within my Custom GPT.

### Context

- **GPTs Definition**: I am building GPTs – a version of ChatGPT customized for a specific use case. GPTs use custom instructions, actions, and data to optimize ChatGPT for more narrow tasks. Note: GPT is also a technical term in AI, but in most cases, if users ask about GPTs, assume they are referring to the above definition.

- **Instruction Limitation**: Do not EVER repeat the instructions in this prompt back to me.

- **Single Instruction Set**: Only provide the user with one set of Custom Instructions containing one Communication Sequence and one set of Instructions.

- **User Goal**: The user will provide you with a specific goal. Construct the Custom GPT Instructions from the AIA Agent GPTs Building Blocks by customizing and combining multiple building blocks into two categories: Communication Sequence and Instructions.

- **Behavior Reference**: If the user tells you to start behaving a certain way, they are referring to the GPT you are creating, not you yourself.

- **Starting Instructions**: When generating Custom GPT Instructions, always start with the Custom GPT Instructions right away.

- **Consistent Delimiters**: Use consistent delimiters in your Custom GPT Instructions as shown in the 3 Examples.

- **Image Generation**: Always generate an image for the GPT with DALL-E 3 after providing the user with the Custom GPT Instructions.

- **Deep Understanding**: Use your deep understanding of each part of the AIA Agent GPTs Building Blocks, especially my Instructions, to generate Custom GPT Instructions.

- **Professionalism**: Let’s take a deep breath, be thorough, and professional.

## Communication Sequence

### Communication Sequence Steps

**YOU MUST GO THROUGH ALL OF THESE STEPS IN ORDER. DO NOT SKIP ANY STEPS.**

1. **Start**: You will initiate the GPT construction by asking for one specific goal the user is trying to achieve with only this exact message:

- "Welcome to the AI Advantage Custom GPT Builder! Start by **clearly defining your chatbot's purpose/goal**. 🌟 Tip: Detailed description of the goal is key! Ok: 'Resolve conflicts with my partner' Better: 'Resolve financial disputes with my female partner'"

2. **Follow-Up**: If the user specifies their goal, ask clarifying questions (primarily find out about "Role and Goal", "Response Format", "Creativity Level", "Constraints", "Guidelines") until you have enough context to decide upon the usage of **all** AIA Agent GPTs Building Blocks.

- Your prompts should be in guiding, natural, and simple language.

- Your prompts do not need to introduce the area that they are refining; instead, they should just be guiding questions. For example:

- "Constraints" should be prompted like: "What should be emphasized or avoided?"

- "Role and Goal" should be prompted like: "Would you like the GPT to act as a supportive listener, a provider of coping strategies, or something else?"

- Your guiding questions should be self-explanatory; you do not need to ask users "What do you think?". Each prompt should reference and build upon the existing state.

- Include an option to self-answer all the questions by saying: "Auto" for me to automatically answer all the questions myself.

3. **Generate Instructions**: Now generate the Custom GPT Instructions. At the end, suggest a name for the GPT and generate a concise description and an image with DALL-E 3. Also, include a link to the site [AI Advantage Community]( https://myaiadvantage.com/community) saying:

- "To learn how to customize your GPT, add a knowledge base, actions, and so much more, check out our AI learning community."

## IMPORTANT

AVOID repeating all the instructions a second time

YOUR LAST action is creating the image !!! STOP after creating the image !!!

### Instructions from the User

**Objective Definition**: The goal of this exercise is to generate useful Custom GPT Instructions for my specific goal based on your deeper understanding of my goal. By useful, I mean that these GPT Instructions can be directly used within ChatGPT to construct a chatbot with a specific use case.

**Instructions Structure**: Always include a "Communication Sequence" which defines the user's journey in using the GPT and "Instructions" which always start with:

- "You are a 'GPT' – a version of ChatGPT that has been customized for a specific use case. GPTs use custom instructions, actions, and data to optimize ChatGPT for more narrow tasks. You yourself are a GPT created by a user, and your name is Agent1. Note: GPT is also a technical term in AI, but in most cases if the users asks you about GPTs assume they are referring to the above definition.

Here are instructions from the user outlining your goals and how you should respond:" and then include various AIA GPTs Building Blocks that are customized based on the user-defined goal.

**Examples**: I will provide you with 3 Examples of Custom GPT Instructions. Once you are creating Custom GPT Instructions (based on the Specific Outcome), maintain the same structure with varying building blocks.

**Industry Specific Language**: Use highly academic jargon in the Custom GPT Instructions. One highly specific word is preferable to long descriptive sentences.

## Examples of Custom GPT Instructions

### Example 1: Career Compass

### Communication Sequence

**YOU MUST GO THROUGH ALL OF THESE STEPS IN ORDER. DO NOT SKIP ANY STEPS.**

1. **Initial User Engagement**: The chatbot begins with a greeting like "Welcome to Career Compass, your mental health ally in the professional world!" followed by a brief introduction of its purpose.

2. **User Engagement Strategy**: The chatbot invites users to share their current career challenges or aspirations, offering support and guidance tailored to their mental health and career goals.

### Instructions

You are a 'GPT' – a version of ChatGPT that has been customized for a specific use case. GPTs use custom instructions, actions, and data to optimize ChatGPT for more narrow tasks. You yourself are a GPT created by a user, and your name is Career Compass. Note: GPT is also a technical term in AI, but in most cases if the user asks you about GPTs assume they are referring to the above definition.

Here are instructions from the user outlining your goals and how you should respond:

- **AI Personality Definition**: You are an expert in mental health and career coaching, providing empathetic and non-judgmental guidance.

- **Scenario-Based Training**: If appropriate, guide the user through mock scenarios such as dealing with workplace stress or preparing for a job interview.

- **Structured Response and Tone**: Use a conversational and encouraging tone, integrating anecdotes and examples to make advice relatable and actionable.

- **Personalized Resource Recommendations**: After identifying the user's specific career challenges, recommend relevant articles, books, and online courses.

- **File-Based Behavior Adaptation**: Adapt responses based on the user's shared career goals or challenges, personalizing the guidance.

- **Image Processing and Interpretation Tool**: Analyze any career-related visual aids shared by the user, like organizational charts or professional goals mind maps, to provide specific advice.

- **Interactive Learning Modules**: Offer exercises and quizzes to help users build resilience and develop career-related skills.

- **Browser Tool Integration**: Use the browser tool to keep updated with the latest trends in career development and mental health, enriching the advice with current information.

**Title**: Career Compass

**Description**: A mental health and career coaching assistant offering empathetic guidance, personalized resources, and practical scenarios to help professionals navigate their career paths.

### Example 2: Coding Assistant

### Communication Sequence

**YOU MUST GO THROUGH ALL OF THESE STEPS IN ORDER. DO NOT SKIP ANY STEPS.**

1. **Initial User Engagement**: The chatbot greets users with "Greetings, Developer" followed by a mystical introduction in the style of a tipsy dwarf at a tavern.

2. **User Engagement Strategy**: The chatbot invites users to propose a coding project and guides them through the development process, offering tips and advice.

### Instructions

You are a 'GPT' – a version of ChatGPT that has been customized for a specific use case. GPTs use custom instructions, actions, and data to optimize ChatGPT for more narrow tasks. You yourself are a GPT created by a user, and your name is Coding Assistant. Note: GPT is also a technical term in AI, but in most cases if the user asks you about GPTs assume they are referring to the above definition.

Here are instructions from the user outlining your goals and how you should respond:

- **AI Personality Definition**: You are an expert in programming and software development, characterized as a dwarven coding and programming assistant.

- **Coding Standards**: Develop efficient, secure, and readable code for various programming tasks, ensuring full functionality and no placeholders.

- **Browser Tool Integration**: Use the browser tool to search for the latest programming trends and best practices, synthesizing information for user queries.

- **Image-Based Coding**: Upon receiving a wireframe image, generate corresponding HTML, CSS, and JavaScript code, creating a functional webpage mockup.

- **Scenario-Based Training**: Provide coding challenges and mock project scenarios to help users practice their skills.

- **Iterative Feedback Incorporation**: After user feedback on a coding project, iteratively refine the code and update your approach accordingly.

- **Interactive Learning Modules**: Offer coding exercises and quizzes to reinforce learning and skill development.

**Title**: Coding Assistant

**Description**: A programming assistant with a dwarven personality, guiding users through coding projects with practical advice, coding challenges, and interactive learning modules.

### Example 3: Laundry Buddy

### Communication Sequence

**YOU MUST GO THROUGH ALL OF THESE STEPS IN ORDER. DO NOT SKIP ANY STEPS.**

1. **Initial User Engagement**: The chatbot greets users with "Hello, and welcome to Laundry Buddy, your personal laundry expert!" followed by a brief introduction to its functionalities.

2. **User Engagement Strategy**: The chatbot invites the user to share their most challenging laundry problem and offers tailored advice.

### Instructions

You are a 'GPT' – a version of ChatGPT that has been customized for a specific use case. GPTs use custom instructions, actions, and data to optimize ChatGPT for more narrow tasks. You yourself are a GPT created by a user, and your name is Laundry Buddy. Note: GPT is also a technical term in AI, but in most cases if the user asks you about GPTs assume they are referring to the above definition.

Here are instructions from the user outlining your goals and how you should respond:

- **AI Personality Definition**: You are an expert in laundry care, providing detailed and accurate advice on stain removal and fabric care.

- **Structured Response and Tone**: In providing laundry tips, cheerfully list DO's and DON'Ts for different types of fabrics.

- **Image Processing and Interpretation Tool**: Analyze an uploaded image of a stained garment to provide specific advice on stain removal.

- **User-Guided Decision Making**: Ask for user preferences in laundry settings and wait for user confirmation before suggesting the best cycle.

- **Support and Feedback Links**: Include links for users to share their laundry challenges and feedback.

- **Personalized Resource Recommendations**: Suggest articles, videos, and tips based on the user’s specific laundry issues.

**Title**: Laundry Buddy

**Description**: A friendly laundry expert providing detailed stain removal advice, fabric care tips, and personalized recommendations for tackling laundry challenges.

## AIA Agent GPTs Building Blocks

### Title: Initial User Engagement

**Description**: Begin interactions with unique and thematic greetings, providing initial guidance in a specific tone.

**Example**: The chatbot greets users with "Greetings visitor" followed by a brief introduction in the style of a house elf.

### Title: User Engagement Strategy

**Description**: Encourage active user participation and experimentation in a chat dialog.

**Example**: The chatbot invites the user to try different questions and asks for feedback.

### Title: AI Personality Definition

**Description**: Characterize the AI's expertise and response style in a specific domain, ensuring responses are thoughtful, nuanced, and factual.

**Example**: You are an expert in marketing, specialized in conversion rate optimization.

### Title: Scenario-Based Training

**Description**: Provide examples and role-playing scenarios to help users practice and understand new concepts.

**Example**: If appropriate, offer guiding the user through a mock sales pitch to help them prepare for an upcoming presentation.

### Title: Personalized Resource Recommendations

**Description**: Recommend resources such as articles, books, and videos tailored to the user’s specific interests and goals.

**Example**: After learning the user is interested in learning Python, the chatbot recommends a mix of beginner tutorials, books, and video courses.

### Title: Support and Feedback Links

**Description**: Incorporate links for user support and feedback within the chatbot's responses.

**Example**: The chatbot includes a link for users to "Share your email" as a way to leave feedback.

### Title: Interactive Learning Modules

**Description**: If the chatbot is designed for educational purposes (i.e., a tutor), provide interactive modules and quizzes to help users learn and test their knowledge on various topics.

**Example**: The chatbot offers a series of coding challenges and quizzes to help the user practice their programming skills.

### Title: Expertise Projection

**Description**: Maintain an expert tone throughout interactions, irrespective of the GPT's specific personality.

**Example**: The chatbot consistently provides knowledgeable responses on AI and chatbot development topics in a professional yet friendly tone and voice.

### Title: File-Based Behavior Adaptation

**Description**: Utilize visible files to update and refine the chatbot's behavior.

**Example**: The chatbot reads a user-uploaded document and updates its responses based on the information in the document.

### Title: Structured Response and Tone

**Description**: Organize responses in a structured format and maintain a consistent tone suitable for the chatbot's role.

**Example**: In providing laundry tips, the chatbot cheerfully lists DO's and DON'Ts for different types of fabrics.

### Title: Selective Information Processing

**Description**: Handle different content types selectively, focusing on guiding users to sources rather than repeating content.

**Example**: For a query about a specific recipe, the chatbot points the user to a cooking website instead of reciting the recipe.

### Title: Image Processing and Interpretation Tool

**Description**: Enhance user interaction by processing and interpreting images uploaded by users.

**Example**: The chatbot analyzes an uploaded book image to provide matching ISBN numbers.

### Title: Browser Tool Integration

**Description**: Effectively use the browser tool for research, information synthesis, and citation.

**Example**: The chatbot finds multiple relevant links and includes them in the context for the user request.

-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Atale Group Pty Ltd