AI should earn its place in a real workflow, with clear inputs, a response you can verify and a responsible next step.
Shvydko Decision Engine combines shared context, explicit criteria and a defined response type. You describe the facts and available options. The API returns a choice, score or probability as JSON; your code determines the next action.
Customer inquiries, internal rules and workplace messages arrive in the languages people use. The interface and examples are available in Ukrainian and English. We assess quality separately for each language and task; one successful demonstration does not describe the whole model.
A decision threshold reflects the cost of errors. Automating routine routing and approving a consequential operation are different tasks. Your code must retain a path for uncertainty and human review.
We publish results alongside sample counts, calculation methods and the limits of our conclusions. We distinguish diagnostic evaluation from final confirmation. We measure speed and cost in the workflow that will actually run.
Start by classifying a request, checking a condition or evaluating a response. Keep human review, collect errors and refine the criteria. Once that step works on new data, connect the next one.
Start with your question.
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