We turn a clear AI use case into a working product feature, including the interface, model behaviour, failure states, and production integration.
1You have a clear task that AI could improve
The opportunity is specific: a voice interface, assistant, recommendation, search experience, or workflow automation that should reduce effort for the user.
2The model works, but the product experience does not
The prototype needs a clear interaction model for waiting, uncertainty, correction, failure, permissions, and user control before it can move into production.
3You need product design and implementation together
The model, interface, data flow, and application logic need to be designed as one feature rather than passed between separate suppliers.
A production AI feature has to explain what it can do, collect the right input, show progress, communicate uncertainty, handle failure, and let the user correct or override the result. We design those states with the model and application integration. The test is simple: does the feature improve the task it was built for?
The input, output, waiting, uncertainty, correction, failure, and fallback states designed as one experience.
The scope identifies the task the feature should improve and the criteria for deciding whether AI is the appropriate approach.
The interface, model behaviour, application logic, and data flow are defined and implemented against the same product requirements.
Requirements for data, permissions, monitoring, failure handling, model changes, and user support are considered before release.
We define the user task, current workflow, available data, constraints, and success criteria before selecting a model or interaction pattern.
We map the primary flow and the states for latency, uncertainty, correction, failure, permissions, and user control.
We connect the interface, application logic, model, data flow, and monitoring in a working production feature.
We review real inputs and outputs, then refine prompts, controls, fallbacks, and interface behaviour against observed use.
An investing app that picks the stocks, then invests a set weekly budget on the user's behalf.
An AI tool that turns a handful of uploaded selfies into a set of studio-quality portraits.
“350life are a dream to work with. They are insanely fast and thorough. We'd often hand off a loose idea at the end of the day and wake up to a polished solution.”
Tara KappelCo-founder & CPO, RealRoots“We're really happy with the work. 350life designed our iPhone app, and it looked so good we expanded the project to the Mac app right away. Both have shipped, and the product is getting very good traction. Their designs gave our team a ton to build, but helped us ship a polished product in quick time. We love their work, and we'll be back for more product work.”
Matt RongeCEO, Astropad“I work with 350life and I am really happy with the relationship. They deliver what we need, are always on-time and are really flexible. A real joy to work with!”
Rok GregoričLead iOS Developer, Benson“I got to know the team through a recommendation from one of my clients…I directly commissioned the team for the next company.”
Daniel PannruckerCEO, Lama Partners“Thanks to 350life's work, the app was delivered on time and within budget. User onboarding was quick and painless.”
Rok LenardičCEO, Indigo Labs“They are very devoted to what they do and they put all their efforts to understand what you need. Communication is transparent and responsive.”
Vesna PavlovičCEO, IRM Ltd.It includes the user task, input and output design, waiting states, uncertainty, correction, failure, fallback behaviour, permissions, data flow, monitoring, and the controls a user needs to understand and manage the feature.
Yes. The first step is to define the user task and success criteria. If rules-based software, search, or a simpler workflow would solve the problem more reliably, we will recommend that instead.
Yes. Our work includes voice-first AI interfaces where the interaction model is central to the product experience.
It describes how we use AI in parts of design and development production. Direction, product decisions, review, and quality control remain the responsibility of the studio.
Yes. 350life is based in Slovenia and works with startups and enterprises across Europe, including Germany and the Benelux, and in the United States.
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