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Add AI Risk Monitoring Layer, routes, and integration with main app.

git add ai-system/
git commit -m "feat: initialize AI Automated Posting System architecture (V1)"
git add ai-system/
git commit -m "feat: initialize AI Automated Posting System architecture (V1)"
git add ai-system/
git commit -m "feat: initialize AI Automated Posting System architecture (V1)"
git add ai-system/
git commit -m "feat: initialize AI Automated Posting System architecture (V1)"
git add ai-system/
git commit -m "feat: initialize AI Automated Posting System architecture (V1)"
git add ai-system/
git commit -m "feat: initialize AI Automated Posting System architecture (V1)"
docs(events): add event_trigger_engine.md documentation
feat(events): implement event queue and worker system
feat(events): add event dispatcher and listeners
docs(events): add event_trigger_engine.md documentation
docs(events): add event_trigger_engine.md documentation
feat(events): add event dispatcher and listeners
docs(events): add event_trigger_engine.md documentation
docs(prediction): create prediction_engine_v1.md
feat(prediction): add trend detector module
feat(rl-v2): add environment + state observation system
feat(rl-v2): implement reinforcement agent with policy/value networks
feat(rl-v2): add reward system and performance-based scoring
feat(rl-v2): add memory buffer for RL experience replay
docs(rl-v2): create reinforcement_engine_v2.md
feat(rl-v2): add environment + state observation system
feat(rl-v2): implement reinforcement agent with policy/value networks
feat(rl-v2): add reward system and performance-based scoring
feat(rl-v2): add memory buffer for RL experience replay
docs(rl-v2): create reinforcement_engine_v2.md
feat(rl-v2): add environment + state observation system
feat(rl-v2): implement reinforcement agent with policy/value networks
feat(rl-v2): add reward system and performance-based scoring
feat(rl-v2): add memory buffer for RL experience replay
docs(rl-v2): create reinforcement_engine_v2.md
feat(rl-v2): add environment + state observation system
feat(rl-v2): implement reinforcement agent with policy/value networks
feat(rl-v2): add reward system and performance-based scoring
feat(rl-v2): add memory buffer for RL experience replay
docs(rl-v2): create reinforcement_engine_v2.md
feat(opt): add scoring system & optimization engine core
feat(opt): implement content selector + performance analyzer
feat(opt): add auto-adjust strategy module
docs(opt): add optimization_engine.md
feat(opt): add scoring system & optimization engine core
feat(opt): implement content selector + performance analyzer
feat(opt): add auto-adjust strategy module
docs(opt): add optimization_engine.md
feat(opt): add scoring system & optimization engine core
feat(opt): implement content selector + performance analyzer
feat(opt): add auto-adjust strategy module
docs(opt): add optimization_engine.md
feat(opt): add scoring system & optimization engine core
feat(opt): implement content selector + performance analyzer
feat(opt): add auto-adjust strategy module
docs(opt): add optimization_engine.md
feat(exec): add scheduler for automated posting
feat(exec): implement execution logic + failover handler
docs(exec): include execution_engine.md
feat(exec): add scheduler for automated posting
feat(exec): implement execution logic + failover handler
docs(exec): include execution_engine.md
feat(exec): add scheduler for automated posting
feat(exec): implement execution logic + failover handler
docs(exec): include execution_engine.md
feat(exec): add scheduler for automated posting
feat(exec): implement execution logic + failover handler
docs(exec): include execution_engine.md
feat(integrations): add TikTok integration wrapper
feat(integrations): add YouTube API wrapper
feat(integrations): add Instagram + Facebook modules
docs(integrations): create integration_overview.md
feat(opt): add scoring system & optimization engine core
feat(opt): implement content selector + performance analyzer
feat(opt): add auto-adjust strategy module
docs(opt): add optimization_engine.md
feat(prediction): add trend detector module
feat(govtech): add national digital agent network service
feat(citizen): add citizen super app interface
feat(choco): add royal mix choco marketplace module
feat(wallet): add multi-wallet sync module
chore: connect govtech, verification and tax routes
feat(security): add JWT authentication middleware
feat(security): add role-based access control
feat(govtech): add government dashboard analytics route
feat(ai): add fraud and economic risk detection engine
chore(config): add government system configuration
feat(core): add system health check endpoint
feat(frontend): add role-based UI routing
chore(security): add environment variables template
chore: connect govtech, verification and tax routes
chore: connect govtech, verification and tax routes
feat(core): add system health check endpoint
feat(security): add data encryption utility
chore(security): add environment template for production setup
chore(security): ignore sensitive environment files
feat: add integration API routes
feat: add wallet sync routes
feat: add AI intelligence API routes
feat: add citizen intelligence API routes
feat(ai-risk): add national AI risk monitoring engine for fraud, tax evasion, and anomaly detection
feat(ai-risk): add national AI risk monitoring engine for fraud, tax evasion, and anomaly detection
feat(ai-risk): trigger high-risk government alert logging
chore(security): add government API secret template
feat(risk-ai): connect risk monitoring AI to main server
feat(ai-risk): connect Risk Monitoring AI routes to main server
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