If you are a Power Platform enthusiast like me, you must have already explored the magic of Copilot in Power Apps and Power Automate. But there’s a hidden superpower in Copilot that not many developers are using: prompts for language detection and intelligent automation. In this article, I’ll share some practical Copilot prompts examples, how to detect language dynamically, and tips to make your Power Platform solutions smarter.
What is a Prompt?
In the world of AI and Power Platform Copilot, a prompt
is basically a question or instruction you give to the AI to tell it
what you want it to do. Think of it as talking to a very smart assistant:
the clearer your instruction, the better the result.
For example:
- Simple
prompt: "Create a list of numbers from 1 to 10."
- AI
understands: It will generate a list [1,2,3,4,5,6,7,8,9,10].
So a prompt is just a way of communicating your intention
to AI.
Copilot works by understanding natural language prompts.
That means you can just type what you want to do, and it converts your intent
into working automation or code snippets.
Why Use Prompts in Copilot?
Prompts are basically instructions that you give to Copilot.
The better your prompt, the smarter the AI output. A few examples include:
- Creating
a flow:
- "Create
a Power Automate flow that saves email attachments from Outlook to
SharePoint folder automatically."
- Generating
Power Apps formula:
- "Write
a formula to calculate total invoice amount including GST."
- Language
detection:
- "Detect
the language of this text and return the ISO code: 'Bonjour, comment ça
va?'"
Sample Copilot Prompts for Language Detection
One of the coolest features is automated language
detection. You can use it to dynamically identify the language of user
input or documents, which is especially useful in multinational environments.
Next Click the detect language ,
Change the content based on your requirement ,
Sample :
Analyze the Text
input provided and determine its primary language. Return only the language
code in standard script format (e.g., "en-US").
If the language cannot be determined, return
"unknown".
Do not include any explanations, translations, or extra
text—only the language script in the response.
Example: "I have a dog" -> "en-US"
For testing add the text input manually like this,
Click Test button and then see the results,
Click save .
Testing 1: Bonjour, comment allez-vous ?
Output:
Testing 2:
Output:
|
Prompt Name |
Sample Input |
Sample Output |
|
DetectLanguage |
I have a dog |
en-US |
|
DetectLanguage |
Bonjour, comment allez-vous ? |
fr-FR |
|
DetectLanguage |
これはテストです |
ja-JP |
|
DetectLanguage |
%$#@! |
unknown |
Why Prompts Are Useful
Prompts are useful because they let you get complex
results without coding a lot. Some benefits include:
- Time-saving:
Instead of writing long formulas or scripts, you can just describe what
you want.
- Beginners-friendly:
Even if you are new to Power Platform, you can use prompts to generate
flows, apps, or formulas.
- Consistency:
Prompts can ensure repetitive tasks are done the same way every time.
- Smart
automation: You can ask Copilot to do things like detect languages,
summarize text, or process data automatically
Real-world Example: Detecting Language in SharePoint
Comments
Imagine you have a SharePoint list where employees submit
feedback in multiple languages. You can:
- Trigger
a Power Automate flow when a new item is created.
- Use
Copilot with a language detection prompt.
- Save
the detected language code into a new column, e.g., LanguageCode.
- Route
or translate feedback automatically based on language.
This saves hours of manual classification and ensures your
solution is multilingual-ready.
Key Takeaways
- Power
Platform Copilot is more than just code generation; it’s a smart
automation assistant.
- Prompts
are the heart of effective Copilot usage.
- Language
detection is simple but powerful for global solutions.
- Always
test and iterate prompts to get the most accurate results.
If you are building apps or flows that interact with
multiple languages, integrating Copilot prompts for language detection
is a game-changer. Start small, experiment with prompts, and soon you’ll be
automating tasks that seemed impossible without heavy coding.

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