shared ai infrastructure

Add AI help without building the same connection again.

Another assistant should not mean another unrelated model integration. YeboAI gives connected product teams a shared place for AI requests and responses.

Discuss an AI feature Watch how it works

See how it works

Plan an assistant around your actual product13 sec · English captions

Read the video transcript

Choose one task your product should help with. Find the existing tool that handles it. Set what the person may see before connecting an AI request to it.

For search, let the person describe what they need. Search the product’s real listings. Let them add details to narrow the results, rather than making up matches.

Explain the feature, data access and how errors should appear. Reuse the shared AI service where it fits. Talk to Omevision about the assistant you want to add.

How to get started

Define the help your product needs.
Choose the shared AI connection.
Supply the right context.
Test answers and failures.

Connect to the shared service

Use the existing AI layer where it fits the product instead of repeating provider setup.

Send the right context

Supply the information needed for the task, within the person’s account permissions.

Make failures clear

Show a clear error if the AI or another service fails. Do not replace it with a made-up answer.

A few useful details

Keep the product’s own data access and business rules in place. Test what happens when the model or another service fails, as well as when the answer succeeds.

A team adding a read-only assistant can choose which information it may use, connect YeboAI and test how the app reports a failed request.

Integration scope and provider capabilities need confirmation for the product.

Ready to try it?

Discuss an AI feature