AI Fabric Live Data Sync
An operator creates, updates and removes synthetic application entities while watching the AI index converge.
Observable proof: Create, update and delete operations have visible indexing state.
Deployed engineering prototypes
Explore runnable AI Fabric applications that test live data, grounded retrieval and governed actions while keeping business logic inside the application.
Synthetic data · Bounded scenarios · Source-linked
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An operator creates, updates and removes synthetic application entities while watching the AI index converge.
Observable proof: Create, update and delete operations have visible indexing state.
A user asks for account help, reviews the proposed operation and confirms only after the application exposes validation evidence.
Observable proof: Validation warnings can be shown without silently discarding user-confirmed values.
A support message containing synthetic personal data is detected, redacted and audited before downstream processing.
Observable proof: Input and output detection direction is configurable.
Two synthetic tenants search related knowledge while the application carries identity and scope into retrieval.
Observable proof: Tenant identifiers are supplied as application context.
A shopper explores synthetic products, asks grounded questions and inspects the evidence behind the response.
Observable proof: The health surface reports AI Fabric 0.4.0 and enabled chat, retrieval and data-sync capabilities.
A bounded commerce experience combining catalog retrieval, evidence, conversation state and governed interaction surfaces.
A support workflow that separates model interpretation from validation, confirmation and application-owned account operations.
A knowledge-portal scenario testing explicit tenant context, retrieval filters and application-owned access boundaries.
A local-first support prototype that prepares privacy-aware context before retrieval or generation.
An explainable churn-signal prototype that keeps scoring inputs and intervention rules inside the application.
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Open an issue with a bounded scenario, source data posture, observable result and known limitation.