AI-native workforce pages grounded in one canonical credit-risk graph
This first public slice proves the flow from Postgres-backed ontology and benchmark interpretation into editorial-ready pages for AI workforce hiring, readiness, and team design.
What is live in this Phase 1 pass
The current slice is intentionally narrow: AI credit risk analysis and adjacent commercial underwriting. The graph stores roles, legacy mappings, tasks, skills, tools, assessments, evidence links, and current internal-v0 projection ratios.
Public pages read that canonical structure directly, while Sanity can overlay editorial copy where a content asset has already been synced.
Seeded page inventory
Current evidence posture
Benchmark coverage is still starter-grade. The current slice uses internal-v0 normalization of workforce archetype framing, GDP Eval, Mercor APEX, and Anthropic Economic Index evidence to support role definitions and early projection guidance.