Hey there, welcome back to the blog!
Always great to have you here again.

I'm Martin, a food scientist here at Prodeen, and today I’m excited to share both a new product and a brand-new experience using Prodeen’s AI platform (woohoo!).

Let’s start with the sweet part.

Introducing: True North Alfajor 

A gourmet cookie that captures the spirit of Canada with a nod to Argentinean tradition.
Each True North Alfajor features two delicate, crumbly cookies sandwiching a rich and creamy butter tart–inspired filling, generously studded with crunchy pecan pieces. The entire confection is then enrobed in a thin layer of premium white chocolate, creating a truly unique and memorable taste experience.

Now, onto the geeky (and equally delicious) part…

A New Milestone: Generating a Finished Product Specification!

Yep—you read that right. This time, I didn’t just ask Prodeen for help with formulation. I actually asked it to generate a full product specification for the final product. Can you believe it?

Here’s how it went down:

Prodeen can help suggest initial formulations—including complete recipes. So, since True North Alfajor was a totally new development for us, I asked Prodeen for an initial suggestion for both the dough and the filling.

It delivered—beautifully.

But then I thought:

“Okay, now I’ve got my product. But considering my ingredients and the full formulation, what are the key parameters I should monitor so our Quality team can properly evaluate it?”

And that’s when Prodeen showed its true magic.

From Formula to Monitoring Parameters

When I originally asked for the formulation, Prodeen had already hinted at a few critical specs. But when I directly requested monitoring parameters for the finished product, it came back—in just minutes—with a detailed list of relevant metrics.

It wasn’t generic—it was tailored to my production process and the exact ingredients I’m using.

Some examples?

• Moisture content and texture analysis (hardness) for the cookie
  
  
• Water activity and viscosity for the filling
  
  
• Filling migration to the composite product
  
  

Pretty cool, right?

It saved me hours of research and brainstorming with the team. And while of course I’ll still run validations and define my final specs based on shelf-life testing and sensory benchmarks, this was an incredible head start. Moreover the data generated can be summarized in Smart grids, for an easy export into spreadsheet or to send it back to your existing systems such as ERP, PLM or Recipe Management system. 

Why This Matters

Having early visibility into which parameters to monitor helps you structure your QC protocols, define checkpoints during scale-up, and communicate better across R&D and QA.

And the fact that Prodeen can do this based on your own inputs? Game-changer.

So, what did you think of this new capability? Let me know—I’d love to hear from you. And while you’re at it, tell me what other topics you’d like to see here in the blog.

Until next time,
Martin ✌️