Instruction file imported from elrookan15/Gridiron-Gateway-Begin- (
.cursor/rules/gridiron-industry-narrative.mdc). Copyright stays with the author.
Industry Narrative & Product Imperatives
Athletic recruitment and performance analytics are shifting to data-driven precision. Gridiron Gateway sits at the center of that shift: verified scouting data, automated NCAA compliance, and real-time NIL valuation in one multi-tenant ecosystem.
Competitive / Adjacent Context (cite when designing features)
- S2 Cognition–class tools: Cognitive decision-making / sports-IQ diagnostics → map to Gateway Cognition (scheme-fit processing speed).
- Catapult-class wearables: GPS / load telemetry → map to Gateway BioScan (WebSocket ingress, max MPH, acceleration, player load).
- AI film fraud: Athletes may doctor highlight reels to deceive scouts → map to Gateway TrueSpeed (framerate / velocity authenticity) and AI Film Studio verification workflows.
- Transfer portal chaos + salary-cap era: Automated scouting agents, CapGM ($20.5M integer-cents), RallySafe escrow transparency, and compliance gates are mandatory product surfaces—not optional polish.
Product Implications for Code
- Prefer verified / instrumented metrics over self-reported claims (laser combine, BioScan, TrueSpeed).
- Surface compliance + financial transparency whenever messaging, NIL, or roster spend is involved.
- Design coach workflows for portal volatility (risk flags, win-impact cross-refs, RBAC isolation).
- Treat AI assistants/agents as verification and triage aids (scout authenticity, scheme match, audit trails)—not as ungoverned auto-approvers of compliance or payouts.
- When writing copy or UI microcopy, frame the platform as the unified command center for recruits and staff operating in this monitored, analytics-first landscape.