What AI applications do we develop?
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AI app developmentAnswers about our AI applications and working with us.
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AI app developmentLoading answer …
MCP integrationLoading answer …
AI integration and interfacesLoading answer …
MCP tools and descriptionsLoading answer …
MCP integration in a projectLoading answer …
Governed Vibe CodingLoading answer …
Introduction and app developmentLoading answer …
App shell and standardsLoading answer …
Security and permissionsLoading answer …
Data, MCP and AI accessLoading answer …
Deployment and releaseLoading answer …
Operation and further developmentLoading answer …
Examples and suitable tasksLoading answer …
Knowledge integrationLoading answer …
Updating sourcesLoading answer …
Knowledge and access permissionsLoading answer …
Limits and reliabilityLoading answer …
Images and scansLoading answer …
Sources and original filesLoading answer …
Synthetic-data RAGWe work together to define which MCP capabilities the customer needs. We ask about the desired workflow and provide a technical recommendation. Access is then designed to suit the project: individually per user or through a shared account with defined permissions. Our MCP interfaces generally use bearer tokens linked to permissions. Depending on the task, anonymising or reducing the data may also be appropriate. In our requirements application, we have implemented individual user permissions with Keycloak and a separate token for each user.
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Documents and knowledgeLoading answer …
Workflows and agentsLoading answer …
Technical implementationLoading answer …
From use case to appLoading answer …
Development and further improvements