— / 180 seats
140 lab units availableA better question before funding a training program
Which skills can this
investment actually support?
Change one shared resource. Follow its dependency paths through training programs, skills and occupations. See what truly changes—and what doesn't.
— / 180 seats
Calculating…— / 180 seats
Checking restoration…RELATE GRAPH · LIVE CYPHER
Resource → Program → Skill → OccupationFollow the dependencies
ResourceProgramSkillOccupationMeasured change
Graph relationships are read from embedded Relate. Highlights indicate changes in seat opportunities or bottleneck proxies, not changes in employment or actual skills learned.
EXPLAINABILITY
What actually changes?
Occupation bottleneck proxies
A related occupation is not necessarily an affected occupation. Seats can appear against multiple skills and occupations; these are proxies, not counts of graduates or workers.
Same world. Independent calculation.
Checking parityGraph-derived planning vs Python/JSON baseline
Checking restorationA → B → A, including program-level seat counts
Inspect the Cypher evidence path
MATCH (r:Resource {id: $rid})<-[:USES_RESOURCE]-(p:Program)
-[:DEVELOPS]->(s:Skill)<-[:REQUIRES]-(o:Occupation)
RETURN p.id AS program, s.id AS skill, o.id AS occupationBoundaries of the result
All training programs and resource capacities in this demo are fictional. Allocation follows a fixed priority, not globally optimal scheduling. No claim is made about actual competencies acquired, employment outcomes, or superiority over SQL, JSON joins or OR-Tools.
Relate: — · Graph source: embedded .rl · Workload: one local user.