Nasty Hack

While working with the tiles in the game we kept getting an error message due to Delegation. We didn’t have time to solve this error message, but the game was still working all of the time.

Having to redesign the whole structure just to be in line with a delegation warning was not something we wanted to do, so we found a brilliant way of going onwards.

We simply created our own message over this message in the onload of the game 😉

As stated before, the game still works as it should, but now the user is informed that the map is ready.

Crashing the Azure AI Studio and Copilot

Badges to claim:

  • Nasty Hacker – for retrieving data from 3rd party services and syncing it to the blob storage to connect to Azure AI Studio
  • Data miner – for retrieving the case information from dataverse and calculating the average score using AI.
  • Embedding numbnut – for embedded copilot in Model-driven app
  • Stairway to heaven – for using Azure AI Studio, Copilot, Blob storage, and in previous articles also Azure Function, WebApp

Our solution includes the latest features of the PowerPlatform and Azure connection the Low and Pro code approaches together, to allows you to boost the performance of resolving the cases by using some insights from the Copilot. 

  • The business use case is about complicated cases when we need external consultancy and assistant, so task is to find the suitable Marios-consultants according to the customer request, by searching the professionals on the Indeed, comparing their background and experience and finding the best matches. (to find the suitable Marios according to the request.) 
  • The business use case is about simplify the KYC(Know Your Customer) process by using unified workspace for all operations.  From Indeed we can understand the company background,do semantic analysis of the comments to have insights on how technicians can approach customer (princess) (simplify the KYC(Know Your Customer) process by using unified workspace for all operations.) 
  • The business use case is about analyzing current princess (customer) and her needs based on the Indeed. The data that we were able to retrieve contains open job postings, company in for, recent news and personal profile info. Based on this information, we can suggest more other services and provide information to sales and marketing departments. (analyze current princess and her needs based on the Indeed profile and suggest more other services.) 

We deployed GPT-4 model to our personal instance using AI Studio, then fine-tuned it with company’s internal data and data from open sources like Indeed, Glassdor or 

Than using Retrieval Augmented Generation (RAG) technic to inject generative responses from big LLM into answer of Copilot. 

With RAG, the external data used to augment your prompts can come from multiple data sources, such as a document repositories, databases, or APIs. The first step is to convert your documents and any user queries into a compatible format to perform relevancy search. To make the formats compatible, a document collection, or knowledge library, and user-submitted queries are converted to numerical representations using embedding language models. Embedding is the process by which text is given numerical representation in a vector space.  

AI Studio has seamless integrated feature use Azure Blob Indexer to implement search functionality search for AI. It bring the possibility to simplify the access to the Datalake from LLM side.   

By implementing multiple connectors to the third-party services and data sources, together with Dynamic chaining feature of the Copilot it gives cleaner user experience for the user using only one tool for analyses. 

How it works:

Nasty Hack

The challenge was a to create pages with Power Pages that could display data from Dataverse, and work in offline mode. We won with the most unlikely “blast from the past”; jQuery.

The good: Power Pages. 
To start with, we set up some pages with Power pages, that would display information about pirates, captains, and ships. 

If the user selects a captain, they would see information for the given captain, which is information stored in a table in Dataverse. 

So far so good, the next step is to make it available in offline mode.

It gets worse: Progressive web application. 

To make your Power pages available in offline mode, one must first set up your progressive web application. To do so, follow this helpful guide on the Microsoft learning portal: You basically just enable it in the “Set up”-portal and define which pages you want to make available in offline mode.  

The problem is; even though your Power pages are available offline, your data from Dataverse is not. So how do we solve that? 

Oh Lord have mercy: jQuery to the rescue. 

To capture the Retro badge, we went back in time to when jQuery ruled the web. And since we can append javascript to Power pages, we already had jQuery embedded on the pirate information page. So why not solve the head-to-head challenge in the worst possible tool for the job; jQuery and localstorage! 

We embed the following snippet on the profile page: 

We embed the following snippet on the offline page: 

Then, we add the following HTML on the offline page: 

For the next part we head into uncharted waters and lose our precious internet connection. But fear not, with the power of jQuery, we have made Dataverse data available in localstorage. 

Mates Upcoming Raid…

Eyyrr mates!!! 

Captain Black Bart, is planning a big raid, Oslo is the target and according to ChatGPT the loot potential is #awsome.

Invitation is sent to all chosen crewmates using top of the art “Power Automate flows”. 
Crewmates are free to Accept or Decline the raid invitation.   

When it’s time for the raid, we requires all crew members who have accepted the raid to check in, using their RFID card or phone. 

If the crewmate have accepted more than one raid, he/she can choose to check in using our Raid Planning App 

With the help of Midjourney AI,,  we generated the app design component by asking the AI to provide us witht the latest & greates piracy themes.  

The RFID data for all potential crewmates is stored in Azure AD using the “Postal Code” field, pretty “Nasty Hack” according to our “bosun”. 

This data is imported to Dataverse “AAD User” virtual table for our app. 

Let’s raid mates.