
Keep definitions, data model notes, and analysis context synchronized as agents and analysts change the system.
Watch how analysis uses context
Vuon sees which definitions and data model facts matter during real work.
Draft documentation updates
The agent can suggest clearer explanations or missing context.
Feed better context forward
Future answers benefit from documentation that reflects the current system.
Context source
Vuon treats documentation as part of the analysis system, not a static wiki that drifts away from reality.
Explain metrics, tables, and business concepts in language stakeholders can read.
Let agent runs propose updates when they uncover new context or assumptions.
Tie documentation back to code, warehouse objects, and published outputs.
When the agent can find the current definition, the analyst does not have to repeat it in every request.
Make approved definitions available to future runs without prompt stuffing.
Keep documentation edits visible so teams can approve sensitive meaning changes.
Write docs for the person acting on the data, not only the person maintaining it.
How it works
The same operating rhythm runs through the product: gather trusted context, show the work, then ship an output that can be reviewed.
Vuon sees which definitions and data model facts matter during real work.
The agent can suggest clearer explanations or missing context.
Future answers benefit from documentation that reflects the current system.
Next step