Adding AI starts with the user problem, the data involved, and a clear measure of success. Yekta can work with your team to examine the use case, plan a technical route, and evaluate a focused prototype.
OpenAI-compatible APIAn integration is valuable when its output improves a real user journey. Start with one concrete scenario, then define its inputs, outputs, constraints, and evaluation method. This keeps the technical route aligned with the product need.
Conversation, text processing, and image understanding are areas worth evaluating for a product. The right choice depends on confirmed technical availability, output quality on your data, and operational constraints. Define how users will review the result. Yekta’s API is OpenAI-compatible, so the team can plan around familiar integration patterns. Service URLs and access details are provided through the technical onboarding process.
Describe one use case, test the expected results against representative inputs, and agree on the scope of access. Then determine how the product will connect, handle errors, and monitor quality.
Model details, code samples, and technical access can be shared after the use case and service are confirmed. Tell Yekta about your product so the appropriate evaluation and integration path can be defined.
