DigitalBurj Studio
AI Product Development
Adding an AI feature is quick. Making it dependable is the work: testing it against real examples, deciding what happens when it's wrong, keeping user data safe, and making sure the monthly model bill doesn't surprise you.
What we set up with every AI feature
- A test set of real examples, run before each release
- A fallback when the model fails or is unsure
- Only the data the feature needs
- Per-user and monthly cost limits
Questions
Which model do you use?
Whichever does the job reliably at a sensible cost. We keep the design flexible so it can be swapped later.