The First 30 Days with Birk
We spent a month with 20 pilot users from various sectors: law, finance, e-commerce, technology, and more. We explore how Birk entered each of their worlds and the value it added to them.

The thing we heard most often was: "It looks great, but does it work in real life?"
We had only one answer to this question: Let's try it immediately.
We selected 20 people. From different sectors, with different habits and different expectations. Some were technical, some not at all. Some were already familiar with artificial intelligence, while others were using a serious tool for the first time. We introduced everyone to Birk and observed them for a month.
This is the story of that one month.
Week 1: First Contact
The most interesting part of the first week was that no one tried the same thing.
The user in the legal field uploaded a 200-page contract on the first day, as if saying "Find it if you can." Birk found it. It summarized it point by point. It flagged contradictory provisions.
The user on the finance side tried to automate a weekly report by pulling data from a real-time database. This task, which normally took 4 hours, was reduced to 20 minutes on the first attempt.
The e-commerce expert attempted to set up a product recommendation system. They activated the shopping expert feature, connected catalog data, and started making Birk speak exactly like a product consultant.
The first week taught us this: when you give Birk a role, it steps into that role.

"Everything Changed When Using the Voice Model"
The most unexpected moment of the pilot process came from the voice feature.
A user utilizing Blip (the voice-generating model) said: "When I could ask questions without looking at the screen and receive a very fast response, it felt truly different. It was as if there was actually someone behind the screen speaking to me in a very natural way..."
This is not a technical understanding. But it is a very important feeling. The nature of the relationship with AI changes not through the interface, but through voice.
Blink (the image-generating model) resonated with a different segment. In business processes requiring visual analysis—extracting data from product photos, reading tables in document scans, interpreting technical drawings—users were surprised that Birk could understand images and convert them into text.
"I sent a photo of this and got it back as a table," said one user we cannot forget.

20 Worlds, 20 Use Cases
The picture that emerged at the end of the month was surprising; every sector translated Birk into its own language.
For lawyers, Birk became a contract assistant. It analyzed long texts, extracted risk clauses, and performed comparative reading.
For finance professionals, a data processor. Instant reports, trend analyses, and anomaly detection via real-time database connection.
For e-commerce teams, an expert consultant. Product matching, answering customer questions, and catalog management.
Technology teams used Birk like a researcher. When the deep research mode was activated, technical scans that would take hours were reduced to tens of minutes.
For data analysts, Birk made the data speak. They reached insights just by asking questions, without writing SQL or knowing how to code.
There was one thing in common for all: Birk became whatever it was called to be.

What Surprised Us the Most
We expected technical successes. But what was truly surprising was the speed with which users began to trust Birk.
People who were cautious in the first week began incorporating Birk into their workflows by the third week. The phrase "Let me ask Birk this as well" became as natural as searching on a computer.
This trust was built on one thing: Birk stated at a high rate when it did not know something.
It did not provide fabricated answers (hallucinations) at a high rate. In most moments where it fell short, it clearly indicated this to the user. This situation reinforced the user's trust.
The End of 30 Days
After one month, we asked the users: "How did you do this work before Birk?"
We received positive feedback from most people, and we immediately evaluated the negative feedback. Our goal was to reach a high level of satisfaction for the sectors we identified, and indeed, we achieved our goal!
Finally, we heard the greatest pride we could hear for a product.

The pilot process is over. But Birk's story is just beginning...
— BriqMind Team