docs(spp_case_demo,spp_grm_demo): sync descriptions with code

- spp_case_demo: mention 3 background cases, clarify non-deterministic generation
- spp_grm_demo: list all 8 personas, add missing dependencies (spp_grm_registry, spp_grm_programs), clarify non-deterministic generation

Author: emjay0921

spp_case_demo/readme/DESCRIPTION.md

@@ -1,9 +1,9 @@
-Demo data generator for Case Management system. Creates realistic cases with intervention plans, home visits, progress notes, and service referrals. Includes 9 fixed demo stories for training and sales demos, plus configurable random case generation for volume testing.
+Demo data generator for Case Management system. Creates realistic cases with intervention plans, home visits, progress notes, and service referrals. Includes 9 fixed demo stories plus 3 background cases for training and sales demos, and configurable volume case generation using Faker for locale-aware random data (non-deterministic — each run produces different results).
 
 ### Key Capabilities
 
-- Generate 9 fixed demo stories with predictable personas and case progressions for consistent training scenarios
-- Create random volume cases with configurable distribution percentages for plans, visits, notes, and closures
+- Generate 9 fixed demo stories with predictable personas and case progressions for consistent training scenarios, plus 3 background cases (Fernandez Intake Pending, Johnson Assessment, Kim Case Closed) for variety
+- Create random volume cases using Faker (non-seeded) with configurable distribution percentages for plans, visits, notes, and closures
 - Link generated cases to existing registrants or create standalone cases
 - Backdate case records and related activities to simulate realistic timelines over configurable day ranges
 - Create intervention plans with multiple interventions across case lifecycle stages

spp_grm_demo/readme/DESCRIPTION.md

@@ -1,4 +1,4 @@
-Demo data generator for the Grievance Redress Mechanism. Creates both story-based tickets linked to specific personas (Juan Dela Cruz, Ibrahim Hassan, Fatima Al-Rahman) and volume tickets using scenario templates. Simulates realistic ticket workflows including resolution paths, escalations, and timeline distribution.
+Demo data generator for the Grievance Redress Mechanism. Creates both story-based tickets linked to specific personas (Juan Dela Cruz, Ibrahim Hassan, Fatima Al-Rahman, Ahmed Said, David Martinez, Maria Santos, Rosa Garcia, Carlos Morales) and volume tickets using scenario templates. Simulates realistic ticket workflows including resolution paths, escalations, and timeline distribution. Uses Faker for locale-aware random data (non-deterministic — each run produces different volume tickets).
 
 ### Key Capabilities
 
@@ -50,4 +50,4 @@ Story personas align with `spp_mis_demo_v2` and `spp_case_demo` for cross-module
 
 ### Dependencies
 
-`spp_demo`, `spp_grm`, `spp_security`
+`spp_demo`, `spp_grm`, `spp_grm_registry`, `spp_grm_programs`, `spp_security`, `faker` (Python)