Free · private · collaborative
The social contract is product architecture, not marketing decoration.
Product ownerBlueprint · careervector.blueprint-graph/v5
Twenty composable top-level diagrams plus recursively nested 21×21 semantic layers. Nodes descend; boundary arrows cross to neighbours.
Cell 5.4 · product · governance · privacy · evidence
The permanently-free, private, human-controlled promise is represented as enforceable gates and observable product evidence.
The social contract is product architecture, not marketing decoration.
Product ownerExplicit human policy remains authoritative over optimization.
Workspace participantNo paywall, private-data monetization, hidden charge, or silent AI choice.
CareerVectorEach commitment has failure behavior, operator signal, and plain language.
QA and productThe social contract is product architecture, not marketing decoration.
Product ownerExplicit human policy remains authoritative over optimization.
Workspace participantNo paywall, private-data monetization, hidden charge, or silent AI choice.
CareerVectorEach commitment has failure behavior, operator signal, and plain language.
QA and productCanonical architecture note
Open note ↗Collect the obligations created specifically by CareerVector's private, collaborative, AI-assisted, permanently-free product promise. The shared Operating Stack still applies.
Each resolved item is an Operating Obligation record governed by Operating Obligation Model; this page is the product-specific source and index, not a second register.
| Commitment | Architectural consequence |
|---|---|
| Permanently free | No applicant subscription, inference margin, paywall, or surprise provider charge |
| Private workspace | Candidate content and activity remain product-local and are not monetized |
| User agency | Explicit AI preferences, overrides, consent, and revocation remain authoritative |
| Honest AI | Route choice, fallback, exhaustion, uncertainty, and limitations are explained briefly |
| BYOK | Keys remain user-controlled and isolated from shared telemetry and other workspaces |
| Local AI | No model download before consent; readiness and background limits are represented truthfully |
| Contribution | Scraping participation is explicit and separated from private workspace identity |
| Accessibility | Core career work must not depend on a particular device, GPU, browser, or ability |
| Collaboration | Link-based collaboration and actor provenance remain understandable and recoverable |
Each commitment needs a product test, operator signal, failure behavior, and plain-language user explanation. A policy claim without an enforceable or observable consequence is not done.