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LAUNCH_CHECKLIST.md

Go-Live Checklist for Bijou AI Multi-Agent System

Pre-Launch Validation (24 Hours Before)

✅ Agent System Readiness

  • All 7 agent definitions validated (.opencode/agents/*.md)
  • Orchestration flow tested with sample requests
  • Model selection strategy confirmed and cost-approved
  • Cross-agent communication patterns verified
  • Escalation paths tested (agent → orchestrator → human)

✅ Quality Gate System Operational

  • Gate 1: Static analysis running automatically
  • Gate 2: Agent self-review checklists validated
  • Gate 3: Cross-agent review workflows tested
  • Gate 4: Integration validation pipeline ready
  • Failure handling and retry logic confirmed

✅ Slash Command Functionality

  • /launch-feature workflow tested end-to-end
  • /fix-bug rapid response system validated
  • /market-research competitive analysis capabilities confirmed
  • /deploy-safe security and validation processes ready
  • /optimize performance improvement workflows operational
  • /quality-check comprehensive validation system working

✅ Critical Security Fixes (BLOCKING)

  • CRITICAL: API key exposure fixed (vite.config.ts lines 13-16)
  • Backend proxy implemented for Gemini API calls
  • Client-side API key references removed completely
  • Environment variable security audit passed
  • PDPA compliance validation completed

✅ Cultural Authenticity System

  • @cultural-curator validation rules implemented
  • Manglish authenticity scoring system operational
  • Malaysian business context validation working
  • Regional expansion readiness (SG, ID, TH) assessed
  • Native speaker validation process established

Launch Day Execution (Go-Live)

Hour 0-1: System Activation

Responsible: @orchestrator + human supervisor

  • Multi-agent system activated in production
  • Agent communication channels established
  • Quality gate monitoring dashboard active
  • Performance monitoring baseline established
  • Error tracking and alerting configured

Hour 1-4: Gradual Rollout

Responsible: @qa-validator + @security-guardian

  • 10% of requests routed through agent system
  • Agent response quality monitoring active
  • Security posture monitoring confirmed
  • Cultural authenticity validation ongoing
  • Performance benchmarks maintained

Hour 4-8: Scale-Up Monitoring

Responsible: Full agent team coordination

  • 50% traffic routed through agent system
  • Cross-agent review workflows functioning
  • Cost monitoring within projected bounds
  • User satisfaction metrics tracking
  • Integration stability confirmed

Hour 8-24: Full Production

Responsible: @orchestrator with escalation readiness

  • 100% agent system operation
  • All quality gates functioning automatically
  • Human escalation paths tested and ready
  • Performance optimization opportunities identified
  • Cultural reception validation in target markets

Post-Launch Validation (48 Hours After)

✅ System Performance Metrics

required_metrics:
  agent_response_time: "<30 seconds average"
  quality_gate_pass_rate: ">95% for gates 1-3"
  integration_success_rate: ">99% for gate 4"
  cost_per_request: "Within projected budget"
  user_satisfaction: ">85% positive feedback"

✅ Agent Individual Performance

  • @orchestrator: Task routing accuracy >90%
  • @frontend-specialist: Component delivery quality >95%
  • @ai-pipeline: Cultural authenticity maintained >90%
  • @security-guardian: Zero critical vulnerabilities introduced
  • @cultural-curator: Native speaker approval >90%
  • @backend-specialist: API performance SLA maintained
  • @qa-validator: Regression prevention >95%

✅ Quality Gate Effectiveness

  • Gate 1: Static analysis catching issues before human review
  • Gate 2: Agent self-review preventing downstream problems
  • Gate 3: Cross-agent review identifying integration issues
  • Gate 4: Integration validation preventing production failures

✅ Business Impact Validation

  • Development velocity maintained or improved
  • Code quality metrics improved
  • Cultural authenticity consistency increased
  • Security posture strengthened
  • User experience quality maintained

Success Criteria (30 Days Post-Launch)

Quantitative Metrics

performance_targets:
  development_velocity: "No reduction from pre-agent baseline"
  code_quality_score: "+25% improvement"
  security_vulnerability_count: "50% reduction"
  cultural_authenticity_score: ">90% native speaker approval"
  user_satisfaction: ">90% positive feedback"
  
cost_efficiency:
  development_cost_per_feature: "20% reduction"
  quality_assurance_efficiency: "40% improvement" 
  time_to_market: "15% faster delivery"
  
reliability_metrics:
  deployment_failure_rate: "<5%"
  regression_bug_count: "60% reduction"
  security_incident_count: "Zero critical incidents"

Qualitative Success Indicators

  • Development team reports improved productivity
  • Consistent cultural authenticity across all deliverables
  • Reduced manual quality assurance burden
  • Faster response to market opportunities
  • Improved security posture confidence
  • Scalable development processes established

Rollback Plan (If Needed)

Emergency Rollback Triggers

  • Development velocity decreased >25%
  • Critical security vulnerabilities introduced
  • Cultural authenticity significantly degraded
  • User experience severely impacted
  • Cost overruns beyond 50% of budget

Rollback Process

  1. Immediate: Revert to manual development processes
  2. Analysis: Identify root causes and system gaps
  3. Remediation: Address fundamental issues
  4. Gradual Re-launch: Phased re-introduction with fixes

Long-Term Evolution (90 Days Post-Launch)

Continuous Improvement Areas

  • Agent performance optimization based on real usage
  • Quality gate refinement from production learnings
  • Cultural authenticity algorithm improvements
  • Cross-agent collaboration pattern optimization
  • Cost efficiency improvements through model selection

Expansion Readiness

  • Regional market adaptation (Singapore, Indonesia, Thailand)
  • Vertical market specialization (Property, Dental, F&B, Gaming)
  • Enterprise client requirements assessment
  • Advanced AI integration capabilities
  • Scalability architecture for 10x growth

Stakeholder Sign-Off

Technical Leadership

  • Chief AI Architect approval
  • Development team lead confirmation
  • Security team validation
  • Quality assurance approval

Business Leadership

  • Product management alignment
  • Cultural authenticity validation (native speaker)
  • Business metrics baseline agreement
  • Cost/benefit analysis approval

Final Launch Authorization

  • All pre-launch checkpoints completed
  • Security vulnerabilities addressed
  • Cultural authenticity validated
  • Performance benchmarks confirmed
  • Rollback procedures tested and ready

Launch Authorized By: _________________ Date: _________

System Status: 🚀 READY FOR LAUNCH 🚀

This multi-agent system represents a comprehensive solution for maintaining high-quality, culturally authentic software development at scale while addressing critical security concerns and optimizing for the Malaysian SME market.