HIGHALEXCARETOMORROW
Care coordination, built on shared packages.
GP.Family uses Yapture as product infrastructure: a shared task language for quick entry, a consistent presentation layer, and an adaptable local-first list engine.
Make coordination quick without making it cryptic.
Family care work is full of urgency, people, appointments, documents, and follow-ups. GP.Family needed fast task entry that could carry those details without turning the interface into a dense form.
Yapture Script lets the original sentence stay readable. GP.Family presents clean task text and meaningful badges while keeping the text the person typed attached to every item.
Good afternoon, Alex.
DR. PATELFRI 10:00
FAMILYDOCUMENT
One parser at entry, display, and orchestration.
01 Task input
People see feedback while they type, using the same parser and badge vocabulary across every screen.
const parts = YaptureNLP.render(value)
const badges = partsToBadges(parts)
<TaskBadges badges={badges} /> 02 Task display
Saved work renders from the original text, so the input and the saved item never drift apart.
const parts = YaptureNLP.render( task.originalText ) partsToBadges(parts)
03 Portal dashboard
The product acts on structured fields while showing people a clean task title. Priority, type, and assignee are all available without a separate data model.
const parsed = YaptureNLP.parse( originalText ) parsed.priority // "high" parsed.taskType // "task" parsed.assignee // "alex"
A native list experience, not an iframe.
GP.Family embeds its list experience through a same-origin proxy and adapts Yapture's list package inside the product. It keeps its own navigation, visual system, and domain context.
What the integration delivered.
The packages GP.Family depends on.
| Package | Used by |
|---|---|
@yapture/nlp | TaskInput, TaskItem, PortalDashboard |
@yapture/script-ui/solid | Shared TaskBadges presentation |
@gpfamily/lists-embed | Native portal embedding |
@yapture/lists/solid | Task engine and state adapters |
Keep your product. Share the packages.
Start with the parser, the list engine, or the full stack.