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 interfacesEach operation is exposed as its own MCP tool. Depending on the task, tools may cover reading, creating and deleting; not every individual UI step needs to be reproduced as a separate tool. This lets AI operate flexibly within a system. For specifically optimised workflows, the tools can still be split into finer operations. The customer decides whether an action requires confirmation; we generally recommend a proposal first, meaning a suggestion for the next steps. The application can provide audit logs when needed. Every MCP interface also receives a description of how AI should use it. When there are many tools, we can group them.
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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 RAGLoading answer …
MCP and permissionsLoading answer …
Documents and knowledgeLoading answer …
Workflows and agentsLoading answer …
Technical implementationLoading answer …
From use case to appLoading answer …
Development and further improvements