Audience 01
AI developers
Uses the product where the cost of an unscoped action is higher than the cost of setup.
Knowledge & context · Prototype
Where the work actually changes.
GraphNative IO is aimed at AI developers, data platform teams, knowledge infrastructure providers.
01
Who it is for
Three audiences, one boundary model.
Audience 02
data platform teams
Uses the product where the cost of an unscoped action is higher than the cost of setup.
Audience 03
knowledge infrastructure providers
Adopts it to replace a patchwork of tools with one reviewable surface.
02
Use cases
Each row maps a capability to the operational change it is meant to produce.
| Capability | Operational change | Status |
|---|---|---|
| Graph persistence and versioning | Makes an existing action reviewable. | Specified |
| Structured context APIs | Makes an existing action reviewable. | Specified |
| Provenance and access control | Makes an existing action reviewable. | Specified |
| Data ingestion and graph updates | Removes an ad hoc step from the workflow. | Specified |
| Machine-readable MCP and SDK surfaces | Makes an existing action reviewable. | Specified |
03
Migration
How a team would move from the status quo without a big-bang cutover.
Step 01
Map the current path
Name the tools, owners and handoffs that the product replaces. Nothing is removed yet.
Step 02
Run one capability
Pick a single scoped capability and run it alongside the old path, with evidence compared side by side.
Step 03
Retire the old path
Remove the previous tool only when the new record is complete enough to audit.