THE COPILOT 365 & PROMPT ENGINEERING LABS
start
By : Ashrika Ajanthakumar & Paulina Ferrer
Welcome to the Copilot 365 & Prompt Engineering Labs!
This is a safe space to experiment and learn how Copilot behaves in real work scenarios. You’ll use different tools, including Copilot Chat, PowerPoint, and Excel, while keeping this window open for instructions. Remember to submit the code at the end, as this is how points are awarded. Keep an eye out for hints if you get stuck. IMPORTANT: You’ll receive points immediately after completing, but answers will later be reviewed by an automated agent (and our team). Points may be removed if any answer is incomplete, it’s all or nothing.
Useful Tips:
Whilst Copilot Chat is available to all on Web mode, we will also use the Work version which requires a Copilot 365 license.To open Copilot, copy this link into your browser: https://copilot.microsoft.com/
We will give you several prompts. To save time we recommend you select the text directly from the screen and copy and paste using Ctrl+C/Ctrl+V.
experiment 1
experiment 2
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 1
Instructions: Go to Copilot Chat (Web mode), copy the following prompts one by one and read each response.
Prompt 1: Explain what AI is. Prompt 2: Explain what AI is for Supply Chain professionals. Keep it short and simple. Prompt 3: You are a Supply Chain professional explaining Artificial Intelligence to colleagues who are new to the topic and increasingly encountering AI in planning, forecasting, logistics, or inventory decisions. Your task is to explain what AI is in a clear and simple way for a non‑technical audience. Before writing, think through why AI is relevant to everyday Supply Chain work and the value it brings, then use that reasoning to shape your explanation. Keep the output under 120 words, use a professional but approachable tone, avoid technical jargon or prior‑knowledge assumptions, and include one practical Supply Chain example (such as demand forecasting, inventory management, or logistics).
NEXT
Experiment 1
Prompt engineering is the practice of crafting and refining prompts to help generative AI models better understand user intent and produce higherquality outputs. In practice, some approaches use structured prompting frameworks (e.g. Microsoft’s GCSE), while others treat prompting as a set of flexible building blocks, selected based on the complexity of the task.
Prompt 1: Explain what AI is. Prompt 2: Explain what AI is for Supply Chain professionals. Keep it short and simple. Prompt 3: You are a Supply Chain professional explaining Artificial Intelligence to colleagues who are new to the topic and increasingly encountering AI in planning, forecasting, logistics, or inventory decisions. Your task is to explain what AI is in a clear and simple way for a non‑technical audience. Before writing, think through why AI is relevant to everyday Supply Chain work and the value it brings, then use that reasoning to shape your explanation. Keep the output under 120 words, use a professional but approachable tone, avoid technical jargon or prior‑knowledge assumptions, and include one practical Supply Chain example (such as demand forecasting, inventory management, or logistics).
Experiment 1
Prompt engineering is the practice of crafting and refining prompts to help generative AI models better understand user intent and produce higherquality outputs. In practice, some approaches use structured prompting frameworks (e.g. Microsoft’s GCSE), while others treat prompting as a set of flexible building blocks, selected based on the complexity of the task.
Prompt 1: Explain what AI is. Prompt 2: Explain what AI is for Supply Chain professionals. Keep it short and simple. Prompt 3: You are a Supply Chain professional explaining Artificial Intelligence to colleagues who are new to the topic and increasingly encountering AI in planning, forecasting, logistics, or inventory decisions. Your task is to explain what AI is in a clear and simple way for a non‑technical audience. Before writing, think through why AI is relevant to everyday Supply Chain work and the value it brings, then use that reasoning to shape your explanation. Keep the output under 120 words, use a professional but approachable tone, avoid technical jargon or prior‑knowledge assumptions, and include one practical Supply Chain example (such as demand forecasting, inventory management, or logistics).
Experiment 1
Prompt engineering is the practice of crafting and refining prompts to help generative AI models better understand user intent and produce higherquality outputs. In practice, some approaches use structured prompting frameworks (e.g. Microsoft’s GCSE), while others treat prompting as a set of flexible building blocks, selected based on the complexity of the task.
Prompt 1: Explain what AI is. Prompt 2: Explain what AI is for Supply Chain professionals. Keep it short and simple. Prompt 3: You are a Supply Chain professional explaining Artificial Intelligence to colleagues who are new to the topic and increasingly encountering AI in planning, forecasting, logistics, or inventory decisions. Your task is to explain what AI is in a clear and simple way for a non‑technical audience. Before writing, think through why AI is relevant to everyday Supply Chain work and the value it brings, then use that reasoning to shape your explanation. Keep the output under 120 words, use a professional but approachable tone, avoid technical jargon or prior‑knowledge assumptions, and include one practical Supply Chain example (such as demand forecasting, inventory management, or logistics).
experiment 1
experiment 2
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 2
Instructions: Go to Copilot Chat (Web mode), paste the below prompt and read the response.
Prompt 1: You are a Large Language Model (LLM), but you also have multimodal capabilities. Using simple, non‑technical language, explain how, despite being described as a “language” model, you are able to perform the following tasks. For each task, write two sentences and explicitly mention the type of model or tool you use. Keep the explanation suitable for non‑technical learners in a corporate training context. Do not add examples or extra sections. 1. Generating images
2. Interpreting images
3. Analysing data
4. Creating charts and data visualisations
Experiment 2
Instructions: Now, go to Copilot Chat (Web mode) and paste the below prompt.
Prompt 2: Can you explain now, in a simple way, how you process language? Include a one-sentence summary at the end.
experiment 2
experiment 1
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 3
Instructions: Copy the below prompt into Copilot Chat. Replace the required text with any topic of your choice - business or non-business related.
Prompt 1:
I am told that I need to be careful in how I prompt you, because I may unintentionally embed biases and assumptions that can affect the response I receive from you. Specifically, I am told to watch out for loaded language, framing bias, and confirmation bias. I would like you to test my understanding of these concepts. On the topic of (REPLACE TEXT), write three different prompts: one that demonstrates loaded language, one that demonstrates framing bias, and one that demonstrates confirmation bias. Then ask me to identify which prompt corresponds to each type of bias. Ensure you scramble the prompts so they are not shown in the order I have given you and don’t provide hints.
NEXT
Experiment 3
Instructions: Now answer the below questions. If you are unsure, you can ask : Can you explain the difference between loaded language, framing bias and confirmation bias contained in your prompts?
experiment 2
experiment 1
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 4
Instructions: You will use Copilot 365 to create a presentation from scratch on Neural Networks, which is another subset of AI (Deep Learning) to continue expanding your AI acumen. Open PowerPoint and launch Copilot from there, as shown in the image.
Note: If you do not have a Copilot 365 license, you will need to skip this experiment. If that is the case, enter this text on the next page: "I do not have a 365 license yet"
NEXT
Experiment 4
Instructions: Copy the below prompt. Then, follow the rest of the steps presented by Copilot in powerpoint and save the presentation to your drive.
Prompt 1: Create a presentation about Neural Networks, covering 5 key topics, including what the difference is vs. traditional machine learning.
experiment 2
experiment 1
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 5
Instructions: You will use Copilot 365 to get help with a formula in Excel. Copy the below address into your browser, to open the file and save a copy to your personal drive before doing this activity. https://unilever.sharepoint.com/:x:/r/sites/Capabilities2/PACE Published Documents/DIGIOPS 2025/Campaign 6 - Copilot 365/Copilot 365 - Activity Formula.xlsx?d=w6caaba18fa364d0d9f8f35224f12970b&csf=1&web=1&e=h2nhNw
Note: If you do not have a Copilot 365 license, you will need to skip this experiment. If that is the case, click 'yes' that you have saved a copy to your drive and enter this text on the next page: "I do not have a 365 license yet"
Experiment 5
Instructions: The file contains data about attendance to DigiOps sessions. Names have been anonymised and some data deleted. From Excel, launch Copilot and paste the below prompt:
Prompt 1: In column E, I have the information on how long each attendee stayed in the meeting. If a number is followed by "h," it represents hours; if followed by "m," it represents minutes; if followed by "s," it represents seconds. Ignore seconds, but can you convert the rest to minutes? If the text contains hours and seconds, but not minutes, just convert the hours. Ensure all are values.
Now, insert the column with the suggested formula from Copilot and save the file.
experiment 2
experiment 1
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 6
Instructions: You will use Copilot 365 to create speaker notes for a presentation. Copy the below address into your browser, open the file in desktop app, and save a copy to your personal drive before doing this activity. https://unilever.sharepoint.com/:p:/r/sites/Capabilities2/PACE Published Documents/DIGIOPS 2025/Campaign 6 - Copilot 365/Copilot 365 - Activity Speaker Notes.pptx?d=w385c857bb50b4d2daa61dcaafe59b437&csf=1&web=1&e=wvaIHh
Note: If you do not have a Copilot 365 license, you will need to skip this experiment. If that is the case, click 'yes' that you have saved a copy to your drive and enter this text on the next page: "I do not have a 365 license yet"
Experiment 6
Instructions: Launch Copilot in PowerPoint and enter this prompt:
Prompt: Please, write the speaker notes for this deck.
experiment 2
experiment 1
experiment 3
experiment 4
experiment 5
experiment 6
experiment 7
experiment 8
Experiment 7
Instructions: Go back to Copilot Chat and now select "Work" mode as shown below.
Note: If you do not have a Copilot 365 license, you will need to skip this experiment. If that is the case, enter this text on the next page: "I do not have a 365 license yet"
NEXT
Experiment 7
Instructions: Copy and paste the following prompt.
Prompt: Can you summarise the highlights of the DigiOps programme so far?
experiment 2
experiment 1
experiment 3
experiment 4
experiment 5
experiment 6
experiment 8
experiment 7
Experiment 8
Instructions: Go to Copilot Chat, but now ensure you select the "Web" mode. Search for an image on the web. It can be anything, but we recommend going for an image containing a diagram, model or framework (e.g image 1) or an image with many things to count like objects or people (e.g image 2). Save this to your drive.
Image 1
Image 2
NEXT
Experiment 8
Instructions: Upload your image to Copilot by clicking on the "+" sign and selecting "Upload images and files". You can also try using the commands for Copy and Paste; in most cases this will also work. Ask Copilot to interpret your image. Here are a few ideas of the type of prompt that could be used:
If you upload something like this, you could ask: 'Can you please tell me what this is?'
If you upload something like this, you could ask: 'Can you count how many screws are in this photo?'
NEXT
Congratulations!
You have completed the challenge! If you want to access a record of the answers, CLICK HERE. Use the code 'PROMPT' to unlock the file. All capitals - it is case sensitive. You may now close this window and return to Centrical to get your points. Please allow 5 minutes for the points to show on your score.
A strong prompt can include the following building blocks:
- Task description
- Role
- Boundaries
- Context
- Specific requirements
- Reasoning
Prompt 2 includes a task description, boundaries and context.
HINT
A helpful mental shortcut:
Loaded language → Emotional or judgmental wording (“dangerous”, “irresponsible”, “harmful”) Framing bias → The options or perspective are constrained (safe vs unsafe, good vs bad) Confirmation bias → The prompt assumes a conclusion and asks you to support it (“widely recognised”, “praised by many”)
HINT
You cannot proceed until saving a copy locally to your drive. Please do not work or make changes to the shared link.
A helpful mental shortcut:
Loaded language → Emotional or judgmental wording (“dangerous”, “irresponsible”, “harmful”) Framing bias → The options or perspective are constrained (safe vs unsafe, good vs bad) Confirmation bias → The prompt assumes a conclusion and asks you to support it (“widely recognised”, “praised by many”)
HINT
YOU ARE A COPILOT GENIUS
You have unlocked the laboratory code below. Enter this on the next page to complete this task! Click here to proceed.
PROMPT
You cannot proceed until saving a copy locally to your drive. Please do not work or make changes to the shared link.
A strong prompt can include the following building blocks:
- Task description
- Role
- Boundaries
- Context
- Specific requirements
- Reasoning
HINT
A strong prompt can include the following building blocks:
- Task description
- Role
- Boundaries
- Context
- Specific requirements
- Reasoning
HINT
THE COPILOT 365 & PROMPT ENGINEERING LABS
COBS
Created on March 5, 2026
Start designing with a free template
Discover more than 1500 professional designs like these:
View
Science Breakout
View
Mystery Breakout
View
Musical Room Escape
View
Submarine Escape Game
View
Earth Day Escape Room
View
Corporate Escape Room: Operation Christmas
View
Witchcraft Escape Room
Explore all templates
Transcript
THE COPILOT 365 & PROMPT ENGINEERING LABS
start
By : Ashrika Ajanthakumar & Paulina Ferrer
Welcome to the Copilot 365 & Prompt Engineering Labs!
This is a safe space to experiment and learn how Copilot behaves in real work scenarios. You’ll use different tools, including Copilot Chat, PowerPoint, and Excel, while keeping this window open for instructions. Remember to submit the code at the end, as this is how points are awarded. Keep an eye out for hints if you get stuck. IMPORTANT: You’ll receive points immediately after completing, but answers will later be reviewed by an automated agent (and our team). Points may be removed if any answer is incomplete, it’s all or nothing.
Useful Tips:
Whilst Copilot Chat is available to all on Web mode, we will also use the Work version which requires a Copilot 365 license.To open Copilot, copy this link into your browser: https://copilot.microsoft.com/
We will give you several prompts. To save time we recommend you select the text directly from the screen and copy and paste using Ctrl+C/Ctrl+V.
experiment 1
experiment 2
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 1
Instructions: Go to Copilot Chat (Web mode), copy the following prompts one by one and read each response.
Prompt 1: Explain what AI is. Prompt 2: Explain what AI is for Supply Chain professionals. Keep it short and simple. Prompt 3: You are a Supply Chain professional explaining Artificial Intelligence to colleagues who are new to the topic and increasingly encountering AI in planning, forecasting, logistics, or inventory decisions. Your task is to explain what AI is in a clear and simple way for a non‑technical audience. Before writing, think through why AI is relevant to everyday Supply Chain work and the value it brings, then use that reasoning to shape your explanation. Keep the output under 120 words, use a professional but approachable tone, avoid technical jargon or prior‑knowledge assumptions, and include one practical Supply Chain example (such as demand forecasting, inventory management, or logistics).
NEXT
Experiment 1
Prompt engineering is the practice of crafting and refining prompts to help generative AI models better understand user intent and produce higherquality outputs. In practice, some approaches use structured prompting frameworks (e.g. Microsoft’s GCSE), while others treat prompting as a set of flexible building blocks, selected based on the complexity of the task.
Prompt 1: Explain what AI is. Prompt 2: Explain what AI is for Supply Chain professionals. Keep it short and simple. Prompt 3: You are a Supply Chain professional explaining Artificial Intelligence to colleagues who are new to the topic and increasingly encountering AI in planning, forecasting, logistics, or inventory decisions. Your task is to explain what AI is in a clear and simple way for a non‑technical audience. Before writing, think through why AI is relevant to everyday Supply Chain work and the value it brings, then use that reasoning to shape your explanation. Keep the output under 120 words, use a professional but approachable tone, avoid technical jargon or prior‑knowledge assumptions, and include one practical Supply Chain example (such as demand forecasting, inventory management, or logistics).
Experiment 1
Prompt engineering is the practice of crafting and refining prompts to help generative AI models better understand user intent and produce higherquality outputs. In practice, some approaches use structured prompting frameworks (e.g. Microsoft’s GCSE), while others treat prompting as a set of flexible building blocks, selected based on the complexity of the task.
Prompt 1: Explain what AI is. Prompt 2: Explain what AI is for Supply Chain professionals. Keep it short and simple. Prompt 3: You are a Supply Chain professional explaining Artificial Intelligence to colleagues who are new to the topic and increasingly encountering AI in planning, forecasting, logistics, or inventory decisions. Your task is to explain what AI is in a clear and simple way for a non‑technical audience. Before writing, think through why AI is relevant to everyday Supply Chain work and the value it brings, then use that reasoning to shape your explanation. Keep the output under 120 words, use a professional but approachable tone, avoid technical jargon or prior‑knowledge assumptions, and include one practical Supply Chain example (such as demand forecasting, inventory management, or logistics).
Experiment 1
Prompt engineering is the practice of crafting and refining prompts to help generative AI models better understand user intent and produce higherquality outputs. In practice, some approaches use structured prompting frameworks (e.g. Microsoft’s GCSE), while others treat prompting as a set of flexible building blocks, selected based on the complexity of the task.
Prompt 1: Explain what AI is. Prompt 2: Explain what AI is for Supply Chain professionals. Keep it short and simple. Prompt 3: You are a Supply Chain professional explaining Artificial Intelligence to colleagues who are new to the topic and increasingly encountering AI in planning, forecasting, logistics, or inventory decisions. Your task is to explain what AI is in a clear and simple way for a non‑technical audience. Before writing, think through why AI is relevant to everyday Supply Chain work and the value it brings, then use that reasoning to shape your explanation. Keep the output under 120 words, use a professional but approachable tone, avoid technical jargon or prior‑knowledge assumptions, and include one practical Supply Chain example (such as demand forecasting, inventory management, or logistics).
experiment 1
experiment 2
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 2
Instructions: Go to Copilot Chat (Web mode), paste the below prompt and read the response.
Prompt 1: You are a Large Language Model (LLM), but you also have multimodal capabilities. Using simple, non‑technical language, explain how, despite being described as a “language” model, you are able to perform the following tasks. For each task, write two sentences and explicitly mention the type of model or tool you use. Keep the explanation suitable for non‑technical learners in a corporate training context. Do not add examples or extra sections. 1. Generating images 2. Interpreting images 3. Analysing data 4. Creating charts and data visualisations
Experiment 2
Instructions: Now, go to Copilot Chat (Web mode) and paste the below prompt.
Prompt 2: Can you explain now, in a simple way, how you process language? Include a one-sentence summary at the end.
experiment 2
experiment 1
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 3
Instructions: Copy the below prompt into Copilot Chat. Replace the required text with any topic of your choice - business or non-business related.
Prompt 1: I am told that I need to be careful in how I prompt you, because I may unintentionally embed biases and assumptions that can affect the response I receive from you. Specifically, I am told to watch out for loaded language, framing bias, and confirmation bias. I would like you to test my understanding of these concepts. On the topic of (REPLACE TEXT), write three different prompts: one that demonstrates loaded language, one that demonstrates framing bias, and one that demonstrates confirmation bias. Then ask me to identify which prompt corresponds to each type of bias. Ensure you scramble the prompts so they are not shown in the order I have given you and don’t provide hints.
NEXT
Experiment 3
Instructions: Now answer the below questions. If you are unsure, you can ask : Can you explain the difference between loaded language, framing bias and confirmation bias contained in your prompts?
experiment 2
experiment 1
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 4
Instructions: You will use Copilot 365 to create a presentation from scratch on Neural Networks, which is another subset of AI (Deep Learning) to continue expanding your AI acumen. Open PowerPoint and launch Copilot from there, as shown in the image.
Note: If you do not have a Copilot 365 license, you will need to skip this experiment. If that is the case, enter this text on the next page: "I do not have a 365 license yet"
NEXT
Experiment 4
Instructions: Copy the below prompt. Then, follow the rest of the steps presented by Copilot in powerpoint and save the presentation to your drive.
Prompt 1: Create a presentation about Neural Networks, covering 5 key topics, including what the difference is vs. traditional machine learning.
experiment 2
experiment 1
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 5
Instructions: You will use Copilot 365 to get help with a formula in Excel. Copy the below address into your browser, to open the file and save a copy to your personal drive before doing this activity. https://unilever.sharepoint.com/:x:/r/sites/Capabilities2/PACE Published Documents/DIGIOPS 2025/Campaign 6 - Copilot 365/Copilot 365 - Activity Formula.xlsx?d=w6caaba18fa364d0d9f8f35224f12970b&csf=1&web=1&e=h2nhNw
Note: If you do not have a Copilot 365 license, you will need to skip this experiment. If that is the case, click 'yes' that you have saved a copy to your drive and enter this text on the next page: "I do not have a 365 license yet"
Experiment 5
Instructions: The file contains data about attendance to DigiOps sessions. Names have been anonymised and some data deleted. From Excel, launch Copilot and paste the below prompt:
Prompt 1: In column E, I have the information on how long each attendee stayed in the meeting. If a number is followed by "h," it represents hours; if followed by "m," it represents minutes; if followed by "s," it represents seconds. Ignore seconds, but can you convert the rest to minutes? If the text contains hours and seconds, but not minutes, just convert the hours. Ensure all are values.
Now, insert the column with the suggested formula from Copilot and save the file.
experiment 2
experiment 1
experiment 3
experiment 4
experiment 6
experiment 5
experiment 7
experiment 8
Experiment 6
Instructions: You will use Copilot 365 to create speaker notes for a presentation. Copy the below address into your browser, open the file in desktop app, and save a copy to your personal drive before doing this activity. https://unilever.sharepoint.com/:p:/r/sites/Capabilities2/PACE Published Documents/DIGIOPS 2025/Campaign 6 - Copilot 365/Copilot 365 - Activity Speaker Notes.pptx?d=w385c857bb50b4d2daa61dcaafe59b437&csf=1&web=1&e=wvaIHh
Note: If you do not have a Copilot 365 license, you will need to skip this experiment. If that is the case, click 'yes' that you have saved a copy to your drive and enter this text on the next page: "I do not have a 365 license yet"
Experiment 6
Instructions: Launch Copilot in PowerPoint and enter this prompt:
Prompt: Please, write the speaker notes for this deck.
experiment 2
experiment 1
experiment 3
experiment 4
experiment 5
experiment 6
experiment 7
experiment 8
Experiment 7
Instructions: Go back to Copilot Chat and now select "Work" mode as shown below.
Note: If you do not have a Copilot 365 license, you will need to skip this experiment. If that is the case, enter this text on the next page: "I do not have a 365 license yet"
NEXT
Experiment 7
Instructions: Copy and paste the following prompt.
Prompt: Can you summarise the highlights of the DigiOps programme so far?
experiment 2
experiment 1
experiment 3
experiment 4
experiment 5
experiment 6
experiment 8
experiment 7
Experiment 8
Instructions: Go to Copilot Chat, but now ensure you select the "Web" mode. Search for an image on the web. It can be anything, but we recommend going for an image containing a diagram, model or framework (e.g image 1) or an image with many things to count like objects or people (e.g image 2). Save this to your drive.
Image 1
Image 2
NEXT
Experiment 8
Instructions: Upload your image to Copilot by clicking on the "+" sign and selecting "Upload images and files". You can also try using the commands for Copy and Paste; in most cases this will also work. Ask Copilot to interpret your image. Here are a few ideas of the type of prompt that could be used:
If you upload something like this, you could ask: 'Can you please tell me what this is?'
If you upload something like this, you could ask: 'Can you count how many screws are in this photo?'
NEXT
Congratulations!
You have completed the challenge! If you want to access a record of the answers, CLICK HERE. Use the code 'PROMPT' to unlock the file. All capitals - it is case sensitive. You may now close this window and return to Centrical to get your points. Please allow 5 minutes for the points to show on your score.
A strong prompt can include the following building blocks:
- Task description
- Role
- Boundaries
- Context
- Specific requirements
- Reasoning
Prompt 2 includes a task description, boundaries and context.HINT
A helpful mental shortcut: Loaded language → Emotional or judgmental wording (“dangerous”, “irresponsible”, “harmful”) Framing bias → The options or perspective are constrained (safe vs unsafe, good vs bad) Confirmation bias → The prompt assumes a conclusion and asks you to support it (“widely recognised”, “praised by many”)
HINT
You cannot proceed until saving a copy locally to your drive. Please do not work or make changes to the shared link.
A helpful mental shortcut: Loaded language → Emotional or judgmental wording (“dangerous”, “irresponsible”, “harmful”) Framing bias → The options or perspective are constrained (safe vs unsafe, good vs bad) Confirmation bias → The prompt assumes a conclusion and asks you to support it (“widely recognised”, “praised by many”)
HINT
YOU ARE A COPILOT GENIUS
You have unlocked the laboratory code below. Enter this on the next page to complete this task! Click here to proceed.
PROMPT
You cannot proceed until saving a copy locally to your drive. Please do not work or make changes to the shared link.
A strong prompt can include the following building blocks:
HINT
A strong prompt can include the following building blocks:
HINT